Microsoft Azure

uiux

Regular
''If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.'' - Bill Gates


https://d1io3yog0oux5.cloudfront.ne.../217/1664/pdf/Quarterly+Update+March+2019.pdf

  • The Company has established early discussions with vision sensor manufacturers, automobile manufacturers for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV).
  • It has also commenced discussions with Tier-One module suppliers to the automotive industry in Europe and North America, Vision Guided Robotics, Surveillance Camera, Smart Transducer and Vision Sensor manufacturers.
  • Original Equipment Manufacturers (OEMs), Module Manufacturers and Sensor suppliers(some of whom the Company is already in contact with) in these markets include:
  • ADAS/AV –Valeo, Continental, Aptiv, General Motors, Ford, Micron, Samsung
  • Vision Guided Robotics -HiKvision, iRobot, IRIS, Samsung, Micron
  • Drones –DJI, Safran, Boeing
  • Surveillance cameras –HiKvision, Dauha, Axis
  • Smart Transducers and Vision Sensors –Sensata, On Semiconductor, Sony, ST Microelectronics, Samsung
  • The Company also has ongoing dialogue and potential use cases in laptop computers as well as cell phones that could create intellectual property for integration into their own Application Specific Integrated Circuits (ASICs). These use cases are important because they have the potential to provide additional revenue from Akida IP in parallel with, but separate from revenues from the NSoC release


R-Car Starter Kit uses Microsoft Connected Vehicle Platform and Azure IoT to improve development efficiency.


Bosch, Microsoft join forces to develop vehicle software platform


Microsoft and Toyota Announce Strategic Partnership To Build Next-Generation Telematics on Windows Azure


VW and Microsoft are building an autonomous car platform with Azure at its heart


Microsoft and Sony partner to make smart cameras smarter with Azure AI


Microsoft to trial Azure IoT platform with Samsung smart home tech


Daimler selects Microsoft Azure for its global big data platform


Renault-Nissan-Mitsubishi launches Alliance Intelligent Cloud on Microsoft Azure


Why Microsoft has invested in GM's driverless car unit Cruise


ZF and PwC Germany will transform processes and workflows using Microsoft Azure


Microsoft Azure Wins Boeing's Cloud Business


STMicroelectronics is a Microsoft Azure Certified Partner


Avnet and ON Semiconductor Accelerate IoT Innovation with New Development Framework
Avnet’s IoTConnect® Platform, powered by Microsoft® Azure and the associated Avnet IoT Partner Program facilitate this connection



Microsoft and TSMC announce Joint Innovation Lab to accelerate silicon design on Azure


---



Microsoft debuts its edge AI service Azure Percept at Ignite

Azure Percept is designed to enable futuristic scenarios that can be made possible now by combining AI with computing at the network edge. They include elevators that can respond to voice commands and video cameras that can notify store managers when a particular product needs restocking.

These possibilities can be enabled simply by adding AI capabilities such as voice recognition or image classification to standalone edge devices. The new Azure Percept service is set to become Microsoft’s way of doing exactly that.

Azure Percept will connect to Azure AI Cognitive Services and Azure Machine Learning models as well as AI models available from the open-source community that have been designed to run on the edge. In addition, Microsoft is working with various outside silicon and device makers to create what it says will be an ecosystem of intelligent edge devices that are certified to run on Azure Percept.





We need to foundationally transform Cloud: Nadella

"As computing becomes embedded everywhere in our world -- transforming how we interact with people, places and things -- and as physical and digital worlds converge, we will require more sovereignty and decentralised control. Cloud and edge computing will evolve to meet all of these real-world needs," he emphasised.



In addition to announcing hardware, Microsoft says it is working with third-party silicon and equipment manufacturers to build an ecosystem of intelligent edge devices that are certified to run on the Azure Percept platform, Sones said.

“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” she said. “But they can envision it in any kind of responsible form factor to cover a pattern of the world.”



Microsoft acquires rapid prototyping firm The Marsden Group

Microsoft has acquired the British and Texas-based rapid prototyping company The Marsden Group for an undisclosed sum.

Omar Abbosh, Microsoft’s corporate vice-president of cross-industry solutions, announced the deal in a blog post, saying the acquisition will help Microsoft to create new customer value through experimentation and deep industry solutions based on the Microsoft cloud, edge and AI products.


---



Azure Space: Powering innovation on Earth and beyond

Microsoft is taking the next giant leap in cloud computing – to space. We are excited to share the work we are doing to make Azure the platform and ecosystem of choice for the mission needs of the space community with Azure Space.



Azure Space – cloud-powered innovation on and off the planet

A thriving ecosystem of satellite providers is needed to meet the world’s growing network needs, and we are excited to partner with industry leaders to bring these capabilities to our customers faster.
Our new partnership with SpaceX Starlink will provide high-speed, low-latency satellite broadband for the new Azure Modular Datacenter (MDC)
Building on our existing Azure Orbital partnership with SES, we will support its O3B Medium Earth Orbit (MEO) constellation O3b MEO, to extend connectivity between our cloud datacenter regions and cloud edge devices.



Microsoft teams up with SpaceX to launch Azure Space to bring cloud computing into the final frontier
Azure Space, Microsoft's cloud computing platform Azure, aims to offer mobile cloud computing data centers that can deploy anywhere. For the emerging business, Microsoft has called upon SpaceX's Starlink internet satellites and expanded its agreement with satellite company SES for Azure Space.



Microsoft Launches Azure Into Space With HPE's Spaceborne Computer-2

Astronauts and space explorers deserve access to the best cloud computing technologies and advanced processing at the ultimate edge. Sometimes analysis needs to be done immediately at the edge where every passing moment counts, and other times the analysis is so massively complex that it can only be performed with the power of the hyperscale cloud.


SpaceX prepares for Air Force test connecting an aircraft to its Starlink satellite internet

The Starlink test is under the Air Force Research Laboratory's Defense Experimentation Using Commercial Space Internet (DEUCSI) program, for which Ball was awarded a contract in August.



Analyzing data from space – the ultimate intelligent edge scenario

DIU chooses Microsoft and Ball Aerospace for space analyticsTo help with these challenges, the Defense Innovation Unit (DIU) just selected Microsoft and Ball Aerospace to build a solution demonstrating agile cloud processing capabilities in support of the U.S. Air Force’s Commercially Augmented Space Inter Networked Operations (CASINO) project.



A Microsoft Azure Space director becomes executive secretary of the National Space Council

In case you didn't know, Microsoft has Azure Space, which is, as the title would imply, a series of space-focused services and products all utilizing the power of Azure. There's Azure Orbital, Azure Modular Datacenter, Azure Orbital Emulator, and more. Microsoft works with partners such as SpaceX to put these tools to use.

Chirag Parikh is one of the people who led Microsoft's Azure Space initiatives, becoming its senior director in January 2020. Now, he's going to be the executive secretary of the United States National Space Council. The White House said the council's first meeting will be this fall, lead by council chair and U.S. VP Kamala Harris.


---


WO2021206800 - DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE

Applicants
MICROSOFT TECHNOLOGY LICENSING, LLC

Abstract
In non-limiting examples of the present disclosure, systems, methods and devices for synchronizing neuromorphic models are presented. A sensor input may be received by a first neuromorphic model implemented on a neuromorphic architecture of a first computing device. The neuromorphic model may comprise a plurality of neurons, with each of the plurality of neurons associated with a threshold value, a weight value, and a refractory period value. The first sensor input may be processed by the first model. A first output value may be determined based on the processing. The model may be modified via modification of one or more threshold values, weight values, and/or refractory period values. A modified version of the first neuromorphic model may be saved to the first computing device based on the modification. An update comprising the modification may be sent to a second computing device hosting the model.

1644451036560.png


[0021] A “neuromorphic model” as described herein is a spiking neuron model comprised of a plurality of neurons that are connected via synapses. Each neuron is associated with a threshold value, a weight value, and a refractory period value. A threshold value associated with a neuron is a charge value that must be met or exceeded via input synapses for the neuron to fire. A weight value associated with a neuron is a charge weight that is passed via firing of a first neuron to a second neuron via a connecting synapse. A refractory period value is a duration of time that a neuron may accumulate charge without firing. In neuromorphic models, there is an explicit time component, and rather than holding values, neurons hold charge. Synapses transmit charge over time, and when a synapse’s charge arrives at a neuron, it is added to the neuron’s charge value. If a neuron’s charge exceeds a threshold, the neuron fires, resetting its charge value to some base value and sending charge out along its outgoing synapses. In a neuromorphic model, threshold values, weight values, and refractory period values are configurable. The goal of training a neuromorphic model is to define connections, thresholds, weights and delays so that the model can “solve” a task. With a classification task, the values of the datapoints must be converted into spikes, and output spikes must be converted into classifications.


---


Microsoft Partnership Will Bring New Cloud Service to DOD Microelectronics Project

Microsoft is working with ten companies on a technology solution for the secure design of microelectronics using a new service in the Azure Government cloud region in support of a Defense Department program, according to a blog post. DOD announced Microsoft and IBM as the winners of a $24.5 million other transaction authority contract in October for a program called the Rapid Assured Microelectronics Prototype (RAMP) using Advanced Commercial Capabilities Project. The contract is part of a Defense Department effort to catalyze the U.S. microelectronics manufacturing base in order to undergird Pentagon emerging technology priorities like artificial intelligence, 5G communications, quantum computing and driverless vehicles, according to an October DOD press release.



Microsoft to build custom chips for the US military

As part of its role in the second phase of the RAMP project, Microsoft has engaged several microelectronics partners across the commercial and defense industrial base, including BAE Systems, Cadence Design Systems, Global Foundries, Siemens EDA, Raytheon Intelligence and Space, and others

Without sharing any details about the chips that’ll be designed in this phase, Microsoft says the objective with the new designs is to help lower power consumption, improve performance, reduce physical size, and improve their reliability for use in DoD systems.

“The RAMP solution will provide an advanced microelectronics development platform for mission-critical applications, with cloud, AI [artificial intelligence], and machine learning-enabled automation, security, and quantifiable assurance,” shared Microsoft, adding that it will host the solution in Azure Government.



Microsoft Has Been Chosen To Build Advanced Chips For The U.S Military

"It was further stated that the Navy and Air Force both desire to leverage commercial capabilities to develop a RAMP prototype methodology. This means that the government is going to be one of the major users of these new futuristic chips."

"The company Microsoft and DoD have collaborated earlier as well, and it has been going on for the past 40 years. their combined efforts were directed towards bringing commercial innovation to the national security community.

A group of companies was headed by Microsoft previously to develop the design capabilities that could achieve the DoD’s mission priorities. This step was the first component of their new collaborative project.

In the second phase, they will develop custom integrated chips and System on a Chip (SoC) with “lower power consumption, improved performance, reduced physical size, and improved reliability for application in DoD systems
.”

"the chips will comprise mission-critical applications, with cloud, AI, and machine learning-enabled automation, security, and quantifiable assurance."



Microsoft is leading a coalition of industry leaders focused on developing capabilities to support RAMP including Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, GlobalFoundries, Intel Corporation, Nimbis Services, Inc., Northrop Grumman, Siemens EDA, Synopsys, Inc., and Zero ASIC Corporation.



Microsoft has engaged microelectronics industry leaders across the commercial and defense industrial base (DIB) to develop this phase of the RAMP project, collaborators include Ansys, Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, Cliosoft, Inc., Flex Logix, GlobalFoundries, Intel Federal, Raytheon Intelligence and Space, Siemens EDA, Synopsys, Inc., Tortuga Logic, and Zero ASIC Corporation.
 
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Reactions: 122 users

Luppo71

Founding Member
''If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.'' - Bill Gates


https://d1io3yog0oux5.cloudfront.ne.../217/1664/pdf/Quarterly+Update+March+2019.pdf

  • The Company has established early discussions with vision sensor manufacturers, automobile manufacturers for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV).
  • It has also commenced discussions with Tier-One module suppliers to the automotive industry in Europe and North America, Vision Guided Robotics, Surveillance Camera, Smart Transducer and Vision Sensor manufacturers.
  • Original Equipment Manufacturers (OEMs), Module Manufacturers and Sensor suppliers(some of whom the Company is already in contact with) in these markets include:
  • ADAS/AV –Valeo, Continental, Aptiv, General Motors, Ford, Micron, Samsung
  • Vision Guided Robotics -HiKvision, iRobot, IRIS, Samsung, Micron
  • Drones –DJI, Safran, Boeing
  • Surveillance cameras –HiKvision, Dauha, Axis
  • Smart Transducers and Vision Sensors –Sensata, On Semiconductor, Sony, ST Microelectronics, Samsung
  • The Company also has ongoing dialogue and potential use cases in laptop computers as well as cell phones that could create intellectual property for integration into their own Application Specific Integrated Circuits (ASICs). These use cases are important because they have the potential to provide additional revenue from Akida IP in parallel with, but separate from revenues from the NSoC release


R-Car Starter Kit uses Microsoft Connected Vehicle Platform and Azure IoT to improve development efficiency.


Bosch, Microsoft join forces to develop vehicle software platform


Microsoft and Toyota Announce Strategic Partnership To Build Next-Generation Telematics on Windows Azure


VW and Microsoft are building an autonomous car platform with Azure at its heart


Microsoft and Sony partner to make smart cameras smarter with Azure AI


Microsoft to trial Azure IoT platform with Samsung smart home tech


Daimler selects Microsoft Azure for its global big data platform


Renault-Nissan-Mitsubishi launches Alliance Intelligent Cloud on Microsoft Azure


Why Microsoft has invested in GM's driverless car unit Cruise


ZF and PwC Germany will transform processes and workflows using Microsoft Azure


Microsoft Azure Wins Boeing's Cloud Business


STMicroelectronics is a Microsoft Azure Certified Partner


Avnet and ON Semiconductor Accelerate IoT Innovation with New Development Framework
Avnet’s IoTConnect® Platform, powered by Microsoft® Azure and the associated Avnet IoT Partner Program facilitate this connection



Microsoft and TSMC announce Joint Innovation Lab to accelerate silicon design on Azure


---



Microsoft debuts its edge AI service Azure Percept at Ignite

Azure Percept is designed to enable futuristic scenarios that can be made possible now by combining AI with computing at the network edge. They include elevators that can respond to voice commands and video cameras that can notify store managers when a particular product needs restocking.

These possibilities can be enabled simply by adding AI capabilities such as voice recognition or image classification to standalone edge devices. The new Azure Percept service is set to become Microsoft’s way of doing exactly that.

Azure Percept will connect to Azure AI Cognitive Services and Azure Machine Learning models as well as AI models available from the open-source community that have been designed to run on the edge. In addition, Microsoft is working with various outside silicon and device makers to create what it says will be an ecosystem of intelligent edge devices that are certified to run on Azure Percept.





We need to foundationally transform Cloud: Nadella

"As computing becomes embedded everywhere in our world -- transforming how we interact with people, places and things -- and as physical and digital worlds converge, we will require more sovereignty and decentralised control. Cloud and edge computing will evolve to meet all of these real-world needs," he emphasised.



In addition to announcing hardware, Microsoft says it is working with third-party silicon and equipment manufacturers to build an ecosystem of intelligent edge devices that are certified to run on the Azure Percept platform, Sones said.

“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” she said. “But they can envision it in any kind of responsible form factor to cover a pattern of the world.”



Microsoft acquires rapid prototyping firm The Marsden Group

Microsoft has acquired the British and Texas-based rapid prototyping company The Marsden Group for an undisclosed sum.

Omar Abbosh, Microsoft’s corporate vice-president of cross-industry solutions, announced the deal in a blog post, saying the acquisition will help Microsoft to create new customer value through experimentation and deep industry solutions based on the Microsoft cloud, edge and AI products.


---



Azure Space: Powering innovation on Earth and beyond

Microsoft is taking the next giant leap in cloud computing – to space. We are excited to share the work we are doing to make Azure the platform and ecosystem of choice for the mission needs of the space community with Azure Space.



Azure Space – cloud-powered innovation on and off the planet

A thriving ecosystem of satellite providers is needed to meet the world’s growing network needs, and we are excited to partner with industry leaders to bring these capabilities to our customers faster.
Our new partnership with SpaceX Starlink will provide high-speed, low-latency satellite broadband for the new Azure Modular Datacenter (MDC)
Building on our existing Azure Orbital partnership with SES, we will support its O3B Medium Earth Orbit (MEO) constellation O3b MEO, to extend connectivity between our cloud datacenter regions and cloud edge devices.



Microsoft teams up with SpaceX to launch Azure Space to bring cloud computing into the final frontier
Azure Space, Microsoft's cloud computing platform Azure, aims to offer mobile cloud computing data centers that can deploy anywhere. For the emerging business, Microsoft has called upon SpaceX's Starlink internet satellites and expanded its agreement with satellite company SES for Azure Space.



Microsoft Launches Azure Into Space With HPE's Spaceborne Computer-2

Astronauts and space explorers deserve access to the best cloud computing technologies and advanced processing at the ultimate edge. Sometimes analysis needs to be done immediately at the edge where every passing moment counts, and other times the analysis is so massively complex that it can only be performed with the power of the hyperscale cloud.


SpaceX prepares for Air Force test connecting an aircraft to its Starlink satellite internet

The Starlink test is under the Air Force Research Laboratory's Defense Experimentation Using Commercial Space Internet (DEUCSI) program, for which Ball was awarded a contract in August.



Analyzing data from space – the ultimate intelligent edge scenario

DIU chooses Microsoft and Ball Aerospace for space analyticsTo help with these challenges, the Defense Innovation Unit (DIU) just selected Microsoft and Ball Aerospace to build a solution demonstrating agile cloud processing capabilities in support of the U.S. Air Force’s Commercially Augmented Space Inter Networked Operations (CASINO) project.



A Microsoft Azure Space director becomes executive secretary of the National Space Council

In case you didn't know, Microsoft has Azure Space, which is, as the title would imply, a series of space-focused services and products all utilizing the power of Azure. There's Azure Orbital, Azure Modular Datacenter, Azure Orbital Emulator, and more. Microsoft works with partners such as SpaceX to put these tools to use.

Chirag Parikh is one of the people who led Microsoft's Azure Space initiatives, becoming its senior director in January 2020. Now, he's going to be the executive secretary of the United States National Space Council. The White House said the council's first meeting will be this fall, lead by council chair and U.S. VP Kamala Harris.


---


WO2021206800 - DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE

Applicants
MICROSOFT TECHNOLOGY LICENSING, LLC

Abstract
In non-limiting examples of the present disclosure, systems, methods and devices for synchronizing neuromorphic models are presented. A sensor input may be received by a first neuromorphic model implemented on a neuromorphic architecture of a first computing device. The neuromorphic model may comprise a plurality of neurons, with each of the plurality of neurons associated with a threshold value, a weight value, and a refractory period value. The first sensor input may be processed by the first model. A first output value may be determined based on the processing. The model may be modified via modification of one or more threshold values, weight values, and/or refractory period values. A modified version of the first neuromorphic model may be saved to the first computing device based on the modification. An update comprising the modification may be sent to a second computing device hosting the model.

View attachment 757

[0021] A “neuromorphic model” as described herein is a spiking neuron model comprised of a plurality of neurons that are connected via synapses. Each neuron is associated with a threshold value, a weight value, and a refractory period value. A threshold value associated with a neuron is a charge value that must be met or exceeded via input synapses for the neuron to fire. A weight value associated with a neuron is a charge weight that is passed via firing of a first neuron to a second neuron via a connecting synapse. A refractory period value is a duration of time that a neuron may accumulate charge without firing. In neuromorphic models, there is an explicit time component, and rather than holding values, neurons hold charge. Synapses transmit charge over time, and when a synapse’s charge arrives at a neuron, it is added to the neuron’s charge value. If a neuron’s charge exceeds a threshold, the neuron fires, resetting its charge value to some base value and sending charge out along its outgoing synapses. In a neuromorphic model, threshold values, weight values, and refractory period values are configurable. The goal of training a neuromorphic model is to define connections, thresholds, weights and delays so that the model can “solve” a task. With a classification task, the values of the datapoints must be converted into spikes, and output spikes must be converted into classifications.


---


Microsoft Partnership Will Bring New Cloud Service to DOD Microelectronics Project

Microsoft is working with ten companies on a technology solution for the secure design of microelectronics using a new service in the Azure Government cloud region in support of a Defense Department program, according to a blog post. DOD announced Microsoft and IBM as the winners of a $24.5 million other transaction authority contract in October for a program called the Rapid Assured Microelectronics Prototype (RAMP) using Advanced Commercial Capabilities Project. The contract is part of a Defense Department effort to catalyze the U.S. microelectronics manufacturing base in order to undergird Pentagon emerging technology priorities like artificial intelligence, 5G communications, quantum computing and driverless vehicles, according to an October DOD press release.



Microsoft to build custom chips for the US military

As part of its role in the second phase of the RAMP project, Microsoft has engaged several microelectronics partners across the commercial and defense industrial base, including BAE Systems, Cadence Design Systems, Global Foundries, Siemens EDA, Raytheon Intelligence and Space, and others

Without sharing any details about the chips that’ll be designed in this phase, Microsoft says the objective with the new designs is to help lower power consumption, improve performance, reduce physical size, and improve their reliability for use in DoD systems.

“The RAMP solution will provide an advanced microelectronics development platform for mission-critical applications, with cloud, AI [artificial intelligence], and machine learning-enabled automation, security, and quantifiable assurance,” shared Microsoft, adding that it will host the solution in Azure Government.



Microsoft Has Been Chosen To Build Advanced Chips For The U.S Military

"It was further stated that the Navy and Air Force both desire to leverage commercial capabilities to develop a RAMP prototype methodology. This means that the government is going to be one of the major users of these new futuristic chips."

"The company Microsoft and DoD have collaborated earlier as well, and it has been going on for the past 40 years. their combined efforts were directed towards bringing commercial innovation to the national security community.

A group of companies was headed by Microsoft previously to develop the design capabilities that could achieve the DoD’s mission priorities. This step was the first component of their new collaborative project.

In the second phase, they will develop custom integrated chips and System on a Chip (SoC) with “lower power consumption, improved performance, reduced physical size, and improved reliability for application in DoD systems
.”

"the chips will comprise mission-critical applications, with cloud, AI, and machine learning-enabled automation, security, and quantifiable assurance."



Microsoft is leading a coalition of industry leaders focused on developing capabilities to support RAMP including Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, GlobalFoundries, Intel Corporation, Nimbis Services, Inc., Northrop Grumman, Siemens EDA, Synopsys, Inc., and Zero ASIC Corporation.



Microsoft has engaged microelectronics industry leaders across the commercial and defense industrial base (DIB) to develop this phase of the RAMP project, collaborators include Ansys, Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, Cliosoft, Inc., Flex Logix, GlobalFoundries, Intel Federal, Raytheon Intelligence and Space, Siemens EDA, Synopsys, Inc., Tortuga Logic, and Zero ASIC Corporation.
Honestly I don't know if I love all this info or it scares the crap out of me.
But let's go with its all Akida and I can feel my pockets filling with cash already.
Very interesting though.
Great post
 
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SALT

Member
Huge post uiux. You're absolutely tireless. What brand of coffee do you use?
 
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Reactions: 35 users
Love your work Uiux. Greatly appreciated.
 
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Esq.111

Fascinatingly Intuitive.
''If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.'' - Bill Gates


https://d1io3yog0oux5.cloudfront.ne.../217/1664/pdf/Quarterly+Update+March+2019.pdf

  • The Company has established early discussions with vision sensor manufacturers, automobile manufacturers for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV).
  • It has also commenced discussions with Tier-One module suppliers to the automotive industry in Europe and North America, Vision Guided Robotics, Surveillance Camera, Smart Transducer and Vision Sensor manufacturers.
  • Original Equipment Manufacturers (OEMs), Module Manufacturers and Sensor suppliers(some of whom the Company is already in contact with) in these markets include:
  • ADAS/AV –Valeo, Continental, Aptiv, General Motors, Ford, Micron, Samsung
  • Vision Guided Robotics -HiKvision, iRobot, IRIS, Samsung, Micron
  • Drones –DJI, Safran, Boeing
  • Surveillance cameras –HiKvision, Dauha, Axis
  • Smart Transducers and Vision Sensors –Sensata, On Semiconductor, Sony, ST Microelectronics, Samsung
  • The Company also has ongoing dialogue and potential use cases in laptop computers as well as cell phones that could create intellectual property for integration into their own Application Specific Integrated Circuits (ASICs). These use cases are important because they have the potential to provide additional revenue from Akida IP in parallel with, but separate from revenues from the NSoC release


R-Car Starter Kit uses Microsoft Connected Vehicle Platform and Azure IoT to improve development efficiency.


Bosch, Microsoft join forces to develop vehicle software platform


Microsoft and Toyota Announce Strategic Partnership To Build Next-Generation Telematics on Windows Azure


VW and Microsoft are building an autonomous car platform with Azure at its heart


Microsoft and Sony partner to make smart cameras smarter with Azure AI


Microsoft to trial Azure IoT platform with Samsung smart home tech


Daimler selects Microsoft Azure for its global big data platform


Renault-Nissan-Mitsubishi launches Alliance Intelligent Cloud on Microsoft Azure


Why Microsoft has invested in GM's driverless car unit Cruise


ZF and PwC Germany will transform processes and workflows using Microsoft Azure


Microsoft Azure Wins Boeing's Cloud Business


STMicroelectronics is a Microsoft Azure Certified Partner


Avnet and ON Semiconductor Accelerate IoT Innovation with New Development Framework
Avnet’s IoTConnect® Platform, powered by Microsoft® Azure and the associated Avnet IoT Partner Program facilitate this connection



Microsoft and TSMC announce Joint Innovation Lab to accelerate silicon design on Azure


---



Microsoft debuts its edge AI service Azure Percept at Ignite

Azure Percept is designed to enable futuristic scenarios that can be made possible now by combining AI with computing at the network edge. They include elevators that can respond to voice commands and video cameras that can notify store managers when a particular product needs restocking.

These possibilities can be enabled simply by adding AI capabilities such as voice recognition or image classification to standalone edge devices. The new Azure Percept service is set to become Microsoft’s way of doing exactly that.

Azure Percept will connect to Azure AI Cognitive Services and Azure Machine Learning models as well as AI models available from the open-source community that have been designed to run on the edge. In addition, Microsoft is working with various outside silicon and device makers to create what it says will be an ecosystem of intelligent edge devices that are certified to run on Azure Percept.





We need to foundationally transform Cloud: Nadella

"As computing becomes embedded everywhere in our world -- transforming how we interact with people, places and things -- and as physical and digital worlds converge, we will require more sovereignty and decentralised control. Cloud and edge computing will evolve to meet all of these real-world needs," he emphasised.



In addition to announcing hardware, Microsoft says it is working with third-party silicon and equipment manufacturers to build an ecosystem of intelligent edge devices that are certified to run on the Azure Percept platform, Sones said.

“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” she said. “But they can envision it in any kind of responsible form factor to cover a pattern of the world.”



Microsoft acquires rapid prototyping firm The Marsden Group

Microsoft has acquired the British and Texas-based rapid prototyping company The Marsden Group for an undisclosed sum.

Omar Abbosh, Microsoft’s corporate vice-president of cross-industry solutions, announced the deal in a blog post, saying the acquisition will help Microsoft to create new customer value through experimentation and deep industry solutions based on the Microsoft cloud, edge and AI products.


---



Azure Space: Powering innovation on Earth and beyond

Microsoft is taking the next giant leap in cloud computing – to space. We are excited to share the work we are doing to make Azure the platform and ecosystem of choice for the mission needs of the space community with Azure Space.



Azure Space – cloud-powered innovation on and off the planet

A thriving ecosystem of satellite providers is needed to meet the world’s growing network needs, and we are excited to partner with industry leaders to bring these capabilities to our customers faster.
Our new partnership with SpaceX Starlink will provide high-speed, low-latency satellite broadband for the new Azure Modular Datacenter (MDC)
Building on our existing Azure Orbital partnership with SES, we will support its O3B Medium Earth Orbit (MEO) constellation O3b MEO, to extend connectivity between our cloud datacenter regions and cloud edge devices.



Microsoft teams up with SpaceX to launch Azure Space to bring cloud computing into the final frontier
Azure Space, Microsoft's cloud computing platform Azure, aims to offer mobile cloud computing data centers that can deploy anywhere. For the emerging business, Microsoft has called upon SpaceX's Starlink internet satellites and expanded its agreement with satellite company SES for Azure Space.



Microsoft Launches Azure Into Space With HPE's Spaceborne Computer-2

Astronauts and space explorers deserve access to the best cloud computing technologies and advanced processing at the ultimate edge. Sometimes analysis needs to be done immediately at the edge where every passing moment counts, and other times the analysis is so massively complex that it can only be performed with the power of the hyperscale cloud.


SpaceX prepares for Air Force test connecting an aircraft to its Starlink satellite internet

The Starlink test is under the Air Force Research Laboratory's Defense Experimentation Using Commercial Space Internet (DEUCSI) program, for which Ball was awarded a contract in August.



Analyzing data from space – the ultimate intelligent edge scenario

DIU chooses Microsoft and Ball Aerospace for space analyticsTo help with these challenges, the Defense Innovation Unit (DIU) just selected Microsoft and Ball Aerospace to build a solution demonstrating agile cloud processing capabilities in support of the U.S. Air Force’s Commercially Augmented Space Inter Networked Operations (CASINO) project.



A Microsoft Azure Space director becomes executive secretary of the National Space Council

In case you didn't know, Microsoft has Azure Space, which is, as the title would imply, a series of space-focused services and products all utilizing the power of Azure. There's Azure Orbital, Azure Modular Datacenter, Azure Orbital Emulator, and more. Microsoft works with partners such as SpaceX to put these tools to use.

Chirag Parikh is one of the people who led Microsoft's Azure Space initiatives, becoming its senior director in January 2020. Now, he's going to be the executive secretary of the United States National Space Council. The White House said the council's first meeting will be this fall, lead by council chair and U.S. VP Kamala Harris.


---


WO2021206800 - DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE

Applicants
MICROSOFT TECHNOLOGY LICENSING, LLC

Abstract
In non-limiting examples of the present disclosure, systems, methods and devices for synchronizing neuromorphic models are presented. A sensor input may be received by a first neuromorphic model implemented on a neuromorphic architecture of a first computing device. The neuromorphic model may comprise a plurality of neurons, with each of the plurality of neurons associated with a threshold value, a weight value, and a refractory period value. The first sensor input may be processed by the first model. A first output value may be determined based on the processing. The model may be modified via modification of one or more threshold values, weight values, and/or refractory period values. A modified version of the first neuromorphic model may be saved to the first computing device based on the modification. An update comprising the modification may be sent to a second computing device hosting the model.

View attachment 757

[0021] A “neuromorphic model” as described herein is a spiking neuron model comprised of a plurality of neurons that are connected via synapses. Each neuron is associated with a threshold value, a weight value, and a refractory period value. A threshold value associated with a neuron is a charge value that must be met or exceeded via input synapses for the neuron to fire. A weight value associated with a neuron is a charge weight that is passed via firing of a first neuron to a second neuron via a connecting synapse. A refractory period value is a duration of time that a neuron may accumulate charge without firing. In neuromorphic models, there is an explicit time component, and rather than holding values, neurons hold charge. Synapses transmit charge over time, and when a synapse’s charge arrives at a neuron, it is added to the neuron’s charge value. If a neuron’s charge exceeds a threshold, the neuron fires, resetting its charge value to some base value and sending charge out along its outgoing synapses. In a neuromorphic model, threshold values, weight values, and refractory period values are configurable. The goal of training a neuromorphic model is to define connections, thresholds, weights and delays so that the model can “solve” a task. With a classification task, the values of the datapoints must be converted into spikes, and output spikes must be converted into classifications.


---


Microsoft Partnership Will Bring New Cloud Service to DOD Microelectronics Project

Microsoft is working with ten companies on a technology solution for the secure design of microelectronics using a new service in the Azure Government cloud region in support of a Defense Department program, according to a blog post. DOD announced Microsoft and IBM as the winners of a $24.5 million other transaction authority contract in October for a program called the Rapid Assured Microelectronics Prototype (RAMP) using Advanced Commercial Capabilities Project. The contract is part of a Defense Department effort to catalyze the U.S. microelectronics manufacturing base in order to undergird Pentagon emerging technology priorities like artificial intelligence, 5G communications, quantum computing and driverless vehicles, according to an October DOD press release.



Microsoft to build custom chips for the US military

As part of its role in the second phase of the RAMP project, Microsoft has engaged several microelectronics partners across the commercial and defense industrial base, including BAE Systems, Cadence Design Systems, Global Foundries, Siemens EDA, Raytheon Intelligence and Space, and others

Without sharing any details about the chips that’ll be designed in this phase, Microsoft says the objective with the new designs is to help lower power consumption, improve performance, reduce physical size, and improve their reliability for use in DoD systems.

“The RAMP solution will provide an advanced microelectronics development platform for mission-critical applications, with cloud, AI [artificial intelligence], and machine learning-enabled automation, security, and quantifiable assurance,” shared Microsoft, adding that it will host the solution in Azure Government.



Microsoft Has Been Chosen To Build Advanced Chips For The U.S Military

"It was further stated that the Navy and Air Force both desire to leverage commercial capabilities to develop a RAMP prototype methodology. This means that the government is going to be one of the major users of these new futuristic chips."

"The company Microsoft and DoD have collaborated earlier as well, and it has been going on for the past 40 years. their combined efforts were directed towards bringing commercial innovation to the national security community.

A group of companies was headed by Microsoft previously to develop the design capabilities that could achieve the DoD’s mission priorities. This step was the first component of their new collaborative project.

In the second phase, they will develop custom integrated chips and System on a Chip (SoC) with “lower power consumption, improved performance, reduced physical size, and improved reliability for application in DoD systems
.”

"the chips will comprise mission-critical applications, with cloud, AI, and machine learning-enabled automation, security, and quantifiable assurance."



Microsoft is leading a coalition of industry leaders focused on developing capabilities to support RAMP including Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, GlobalFoundries, Intel Corporation, Nimbis Services, Inc., Northrop Grumman, Siemens EDA, Synopsys, Inc., and Zero ASIC Corporation.



Microsoft has engaged microelectronics industry leaders across the commercial and defense industrial base (DIB) to develop this phase of the RAMP project, collaborators include Ansys, Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, Cliosoft, Inc., Flex Logix, GlobalFoundries, Intel Federal, Raytheon Intelligence and Space, Siemens EDA, Synopsys, Inc., Tortuga Logic, and Zero ASIC Corporation.
Evening Uiux,

Full on , Cheers for the above compiled info.

Purely skin read the articles.............
more than a few dots.................
I think you may have spilt the entire inkwell.

Big thankyou.

Regards,
Esq
 
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xdragon

Member
and Akida is the only commercially available neuromorphic chip/IP in the world….
 
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uiux

Regular
Theres no indication that Akida lives in any of this.

Treat this research as industry analysis.

However, the "DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE" to me is a massive eye opener
 
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Dougie54

Regular
Just WOW !!!!
 
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Diogenese

Top 20
Theres no indication that Akida lives in any of this.

Treat this research as industry analysis.

However, the "DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE" to me is a massive eye opener
... and yet, like Scott at the South Pole, the Akida flag was there already:

US10410117B2 Method and a system for creating dynamic neural function libraries

Applicants BRAINCHIP INC [US]

Inventors VAN DER MADE PETER A J [AU]

A method of creating a reusable dynamic neural function library for use in artificial intelligence, the method comprising the steps of:
sending a plurality of input pulses in form of stimuli to a first artificial intelligent device, where the first artificial intelligent device includes a hardware network of reconfigurable artificial neurons and synapses;
learning at least one task or a function autonomously from the plurality of input pulses, by the first artificial intelligent device;
generating and storing a set of control values, representing one learned function, in synaptic registers of the first artificial intelligent device;
altering and updating the control values in synaptic registers, based on a time interval and an intensity of the plurality of input pulses for autonomous learning of the functions, thereby creating the function that stores sets of control values, at the first artificial intelligent device; and
transferring and storing the function in the reusable dynamic neural function library, together with other functions derived from a plurality of artificial intelligent devices, allowing a second artificial intelligent device to reuse one or more of the functions learned by the first artificial intelligent device
.

This is related to the patent which was granted last week, and has a priority of 2008.
 
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AKIDA1

Emerged
''If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.'' - Bill Gates


https://d1io3yog0oux5.cloudfront.ne.../217/1664/pdf/Quarterly+Update+March+2019.pdf

  • The Company has established early discussions with vision sensor manufacturers, automobile manufacturers for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV).
  • It has also commenced discussions with Tier-One module suppliers to the automotive industry in Europe and North America, Vision Guided Robotics, Surveillance Camera, Smart Transducer and Vision Sensor manufacturers.
  • Original Equipment Manufacturers (OEMs), Module Manufacturers and Sensor suppliers(some of whom the Company is already in contact with) in these markets include:
  • ADAS/AV –Valeo, Continental, Aptiv, General Motors, Ford, Micron, Samsung
  • Vision Guided Robotics -HiKvision, iRobot, IRIS, Samsung, Micron
  • Drones –DJI, Safran, Boeing
  • Surveillance cameras –HiKvision, Dauha, Axis
  • Smart Transducers and Vision Sensors –Sensata, On Semiconductor, Sony, ST Microelectronics, Samsung
  • The Company also has ongoing dialogue and potential use cases in laptop computers as well as cell phones that could create intellectual property for integration into their own Application Specific Integrated Circuits (ASICs). These use cases are important because they have the potential to provide additional revenue from Akida IP in parallel with, but separate from revenues from the NSoC release


R-Car Starter Kit uses Microsoft Connected Vehicle Platform and Azure IoT to improve development efficiency.


Bosch, Microsoft join forces to develop vehicle software platform


Microsoft and Toyota Announce Strategic Partnership To Build Next-Generation Telematics on Windows Azure


VW and Microsoft are building an autonomous car platform with Azure at its heart


Microsoft and Sony partner to make smart cameras smarter with Azure AI


Microsoft to trial Azure IoT platform with Samsung smart home tech


Daimler selects Microsoft Azure for its global big data platform


Renault-Nissan-Mitsubishi launches Alliance Intelligent Cloud on Microsoft Azure


Why Microsoft has invested in GM's driverless car unit Cruise


ZF and PwC Germany will transform processes and workflows using Microsoft Azure


Microsoft Azure Wins Boeing's Cloud Business


STMicroelectronics is a Microsoft Azure Certified Partner


Avnet and ON Semiconductor Accelerate IoT Innovation with New Development Framework
Avnet’s IoTConnect® Platform, powered by Microsoft® Azure and the associated Avnet IoT Partner Program facilitate this connection



Microsoft and TSMC announce Joint Innovation Lab to accelerate silicon design on Azure


---



Microsoft debuts its edge AI service Azure Percept at Ignite

Azure Percept is designed to enable futuristic scenarios that can be made possible now by combining AI with computing at the network edge. They include elevators that can respond to voice commands and video cameras that can notify store managers when a particular product needs restocking.

These possibilities can be enabled simply by adding AI capabilities such as voice recognition or image classification to standalone edge devices. The new Azure Percept service is set to become Microsoft’s way of doing exactly that.

Azure Percept will connect to Azure AI Cognitive Services and Azure Machine Learning models as well as AI models available from the open-source community that have been designed to run on the edge. In addition, Microsoft is working with various outside silicon and device makers to create what it says will be an ecosystem of intelligent edge devices that are certified to run on Azure Percept.





We need to foundationally transform Cloud: Nadella

"As computing becomes embedded everywhere in our world -- transforming how we interact with people, places and things -- and as physical and digital worlds converge, we will require more sovereignty and decentralised control. Cloud and edge computing will evolve to meet all of these real-world needs," he emphasised.



In addition to announcing hardware, Microsoft says it is working with third-party silicon and equipment manufacturers to build an ecosystem of intelligent edge devices that are certified to run on the Azure Percept platform, Sones said.

“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” she said. “But they can envision it in any kind of responsible form factor to cover a pattern of the world.”



Microsoft acquires rapid prototyping firm The Marsden Group

Microsoft has acquired the British and Texas-based rapid prototyping company The Marsden Group for an undisclosed sum.

Omar Abbosh, Microsoft’s corporate vice-president of cross-industry solutions, announced the deal in a blog post, saying the acquisition will help Microsoft to create new customer value through experimentation and deep industry solutions based on the Microsoft cloud, edge and AI products.


---



Azure Space: Powering innovation on Earth and beyond

Microsoft is taking the next giant leap in cloud computing – to space. We are excited to share the work we are doing to make Azure the platform and ecosystem of choice for the mission needs of the space community with Azure Space.



Azure Space – cloud-powered innovation on and off the planet

A thriving ecosystem of satellite providers is needed to meet the world’s growing network needs, and we are excited to partner with industry leaders to bring these capabilities to our customers faster.
Our new partnership with SpaceX Starlink will provide high-speed, low-latency satellite broadband for the new Azure Modular Datacenter (MDC)
Building on our existing Azure Orbital partnership with SES, we will support its O3B Medium Earth Orbit (MEO) constellation O3b MEO, to extend connectivity between our cloud datacenter regions and cloud edge devices.



Microsoft teams up with SpaceX to launch Azure Space to bring cloud computing into the final frontier
Azure Space, Microsoft's cloud computing platform Azure, aims to offer mobile cloud computing data centers that can deploy anywhere. For the emerging business, Microsoft has called upon SpaceX's Starlink internet satellites and expanded its agreement with satellite company SES for Azure Space.



Microsoft Launches Azure Into Space With HPE's Spaceborne Computer-2

Astronauts and space explorers deserve access to the best cloud computing technologies and advanced processing at the ultimate edge. Sometimes analysis needs to be done immediately at the edge where every passing moment counts, and other times the analysis is so massively complex that it can only be performed with the power of the hyperscale cloud.


SpaceX prepares for Air Force test connecting an aircraft to its Starlink satellite internet

The Starlink test is under the Air Force Research Laboratory's Defense Experimentation Using Commercial Space Internet (DEUCSI) program, for which Ball was awarded a contract in August.



Analyzing data from space – the ultimate intelligent edge scenario

DIU chooses Microsoft and Ball Aerospace for space analyticsTo help with these challenges, the Defense Innovation Unit (DIU) just selected Microsoft and Ball Aerospace to build a solution demonstrating agile cloud processing capabilities in support of the U.S. Air Force’s Commercially Augmented Space Inter Networked Operations (CASINO) project.



A Microsoft Azure Space director becomes executive secretary of the National Space Council

In case you didn't know, Microsoft has Azure Space, which is, as the title would imply, a series of space-focused services and products all utilizing the power of Azure. There's Azure Orbital, Azure Modular Datacenter, Azure Orbital Emulator, and more. Microsoft works with partners such as SpaceX to put these tools to use.

Chirag Parikh is one of the people who led Microsoft's Azure Space initiatives, becoming its senior director in January 2020. Now, he's going to be the executive secretary of the United States National Space Council. The White House said the council's first meeting will be this fall, lead by council chair and U.S. VP Kamala Harris.


---


WO2021206800 - DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE

Applicants
MICROSOFT TECHNOLOGY LICENSING, LLC

Abstract
In non-limiting examples of the present disclosure, systems, methods and devices for synchronizing neuromorphic models are presented. A sensor input may be received by a first neuromorphic model implemented on a neuromorphic architecture of a first computing device. The neuromorphic model may comprise a plurality of neurons, with each of the plurality of neurons associated with a threshold value, a weight value, and a refractory period value. The first sensor input may be processed by the first model. A first output value may be determined based on the processing. The model may be modified via modification of one or more threshold values, weight values, and/or refractory period values. A modified version of the first neuromorphic model may be saved to the first computing device based on the modification. An update comprising the modification may be sent to a second computing device hosting the model.

View attachment 757

[0021] A “neuromorphic model” as described herein is a spiking neuron model comprised of a plurality of neurons that are connected via synapses. Each neuron is associated with a threshold value, a weight value, and a refractory period value. A threshold value associated with a neuron is a charge value that must be met or exceeded via input synapses for the neuron to fire. A weight value associated with a neuron is a charge weight that is passed via firing of a first neuron to a second neuron via a connecting synapse. A refractory period value is a duration of time that a neuron may accumulate charge without firing. In neuromorphic models, there is an explicit time component, and rather than holding values, neurons hold charge. Synapses transmit charge over time, and when a synapse’s charge arrives at a neuron, it is added to the neuron’s charge value. If a neuron’s charge exceeds a threshold, the neuron fires, resetting its charge value to some base value and sending charge out along its outgoing synapses. In a neuromorphic model, threshold values, weight values, and refractory period values are configurable. The goal of training a neuromorphic model is to define connections, thresholds, weights and delays so that the model can “solve” a task. With a classification task, the values of the datapoints must be converted into spikes, and output spikes must be converted into classifications.


---


Microsoft Partnership Will Bring New Cloud Service to DOD Microelectronics Project

Microsoft is working with ten companies on a technology solution for the secure design of microelectronics using a new service in the Azure Government cloud region in support of a Defense Department program, according to a blog post. DOD announced Microsoft and IBM as the winners of a $24.5 million other transaction authority contract in October for a program called the Rapid Assured Microelectronics Prototype (RAMP) using Advanced Commercial Capabilities Project. The contract is part of a Defense Department effort to catalyze the U.S. microelectronics manufacturing base in order to undergird Pentagon emerging technology priorities like artificial intelligence, 5G communications, quantum computing and driverless vehicles, according to an October DOD press release.



Microsoft to build custom chips for the US military

As part of its role in the second phase of the RAMP project, Microsoft has engaged several microelectronics partners across the commercial and defense industrial base, including BAE Systems, Cadence Design Systems, Global Foundries, Siemens EDA, Raytheon Intelligence and Space, and others

Without sharing any details about the chips that’ll be designed in this phase, Microsoft says the objective with the new designs is to help lower power consumption, improve performance, reduce physical size, and improve their reliability for use in DoD systems.

“The RAMP solution will provide an advanced microelectronics development platform for mission-critical applications, with cloud, AI [artificial intelligence], and machine learning-enabled automation, security, and quantifiable assurance,” shared Microsoft, adding that it will host the solution in Azure Government.



Microsoft Has Been Chosen To Build Advanced Chips For The U.S Military

"It was further stated that the Navy and Air Force both desire to leverage commercial capabilities to develop a RAMP prototype methodology. This means that the government is going to be one of the major users of these new futuristic chips."

"The company Microsoft and DoD have collaborated earlier as well, and it has been going on for the past 40 years. their combined efforts were directed towards bringing commercial innovation to the national security community.

A group of companies was headed by Microsoft previously to develop the design capabilities that could achieve the DoD’s mission priorities. This step was the first component of their new collaborative project.

In the second phase, they will develop custom integrated chips and System on a Chip (SoC) with “lower power consumption, improved performance, reduced physical size, and improved reliability for application in DoD systems
.”

"the chips will comprise mission-critical applications, with cloud, AI, and machine learning-enabled automation, security, and quantifiable assurance."



Microsoft is leading a coalition of industry leaders focused on developing capabilities to support RAMP including Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, GlobalFoundries, Intel Corporation, Nimbis Services, Inc., Northrop Grumman, Siemens EDA, Synopsys, Inc., and Zero ASIC Corporation.



Microsoft has engaged microelectronics industry leaders across the commercial and defense industrial base (DIB) to develop this phase of the RAMP project, collaborators include Ansys, Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, Cliosoft, Inc., Flex Logix, GlobalFoundries, Intel Federal, Raytheon Intelligence and Space, Siemens EDA, Synopsys, Inc., Tortuga Logic, and Zero ASIC Corporation.
Outstanding contribution UIUX. 👏👏👏
 
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Vladsblood

Regular
Theres no indication that Akida lives in any of this.

Treat this research as industry analysis.

However, the "DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE" to me is a massive eye opener
Thanks Unix for this eye opener Vlad
 
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Euks

Regular
''If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.'' - Bill Gates


https://d1io3yog0oux5.cloudfront.ne.../217/1664/pdf/Quarterly+Update+March+2019.pdf

  • The Company has established early discussions with vision sensor manufacturers, automobile manufacturers for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV).
  • It has also commenced discussions with Tier-One module suppliers to the automotive industry in Europe and North America, Vision Guided Robotics, Surveillance Camera, Smart Transducer and Vision Sensor manufacturers.
  • Original Equipment Manufacturers (OEMs), Module Manufacturers and Sensor suppliers(some of whom the Company is already in contact with) in these markets include:
  • ADAS/AV –Valeo, Continental, Aptiv, General Motors, Ford, Micron, Samsung
  • Vision Guided Robotics -HiKvision, iRobot, IRIS, Samsung, Micron
  • Drones –DJI, Safran, Boeing
  • Surveillance cameras –HiKvision, Dauha, Axis
  • Smart Transducers and Vision Sensors –Sensata, On Semiconductor, Sony, ST Microelectronics, Samsung
  • The Company also has ongoing dialogue and potential use cases in laptop computers as well as cell phones that could create intellectual property for integration into their own Application Specific Integrated Circuits (ASICs). These use cases are important because they have the potential to provide additional revenue from Akida IP in parallel with, but separate from revenues from the NSoC release


R-Car Starter Kit uses Microsoft Connected Vehicle Platform and Azure IoT to improve development efficiency.


Bosch, Microsoft join forces to develop vehicle software platform


Microsoft and Toyota Announce Strategic Partnership To Build Next-Generation Telematics on Windows Azure


VW and Microsoft are building an autonomous car platform with Azure at its heart


Microsoft and Sony partner to make smart cameras smarter with Azure AI


Microsoft to trial Azure IoT platform with Samsung smart home tech


Daimler selects Microsoft Azure for its global big data platform


Renault-Nissan-Mitsubishi launches Alliance Intelligent Cloud on Microsoft Azure


Why Microsoft has invested in GM's driverless car unit Cruise


ZF and PwC Germany will transform processes and workflows using Microsoft Azure


Microsoft Azure Wins Boeing's Cloud Business


STMicroelectronics is a Microsoft Azure Certified Partner


Avnet and ON Semiconductor Accelerate IoT Innovation with New Development Framework
Avnet’s IoTConnect® Platform, powered by Microsoft® Azure and the associated Avnet IoT Partner Program facilitate this connection



Microsoft and TSMC announce Joint Innovation Lab to accelerate silicon design on Azure


---



Microsoft debuts its edge AI service Azure Percept at Ignite

Azure Percept is designed to enable futuristic scenarios that can be made possible now by combining AI with computing at the network edge. They include elevators that can respond to voice commands and video cameras that can notify store managers when a particular product needs restocking.

These possibilities can be enabled simply by adding AI capabilities such as voice recognition or image classification to standalone edge devices. The new Azure Percept service is set to become Microsoft’s way of doing exactly that.

Azure Percept will connect to Azure AI Cognitive Services and Azure Machine Learning models as well as AI models available from the open-source community that have been designed to run on the edge. In addition, Microsoft is working with various outside silicon and device makers to create what it says will be an ecosystem of intelligent edge devices that are certified to run on Azure Percept.





We need to foundationally transform Cloud: Nadella

"As computing becomes embedded everywhere in our world -- transforming how we interact with people, places and things -- and as physical and digital worlds converge, we will require more sovereignty and decentralised control. Cloud and edge computing will evolve to meet all of these real-world needs," he emphasised.



In addition to announcing hardware, Microsoft says it is working with third-party silicon and equipment manufacturers to build an ecosystem of intelligent edge devices that are certified to run on the Azure Percept platform, Sones said.

“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” she said. “But they can envision it in any kind of responsible form factor to cover a pattern of the world.”



Microsoft acquires rapid prototyping firm The Marsden Group

Microsoft has acquired the British and Texas-based rapid prototyping company The Marsden Group for an undisclosed sum.

Omar Abbosh, Microsoft’s corporate vice-president of cross-industry solutions, announced the deal in a blog post, saying the acquisition will help Microsoft to create new customer value through experimentation and deep industry solutions based on the Microsoft cloud, edge and AI products.


---



Azure Space: Powering innovation on Earth and beyond

Microsoft is taking the next giant leap in cloud computing – to space. We are excited to share the work we are doing to make Azure the platform and ecosystem of choice for the mission needs of the space community with Azure Space.



Azure Space – cloud-powered innovation on and off the planet

A thriving ecosystem of satellite providers is needed to meet the world’s growing network needs, and we are excited to partner with industry leaders to bring these capabilities to our customers faster.
Our new partnership with SpaceX Starlink will provide high-speed, low-latency satellite broadband for the new Azure Modular Datacenter (MDC)
Building on our existing Azure Orbital partnership with SES, we will support its O3B Medium Earth Orbit (MEO) constellation O3b MEO, to extend connectivity between our cloud datacenter regions and cloud edge devices.



Microsoft teams up with SpaceX to launch Azure Space to bring cloud computing into the final frontier
Azure Space, Microsoft's cloud computing platform Azure, aims to offer mobile cloud computing data centers that can deploy anywhere. For the emerging business, Microsoft has called upon SpaceX's Starlink internet satellites and expanded its agreement with satellite company SES for Azure Space.



Microsoft Launches Azure Into Space With HPE's Spaceborne Computer-2

Astronauts and space explorers deserve access to the best cloud computing technologies and advanced processing at the ultimate edge. Sometimes analysis needs to be done immediately at the edge where every passing moment counts, and other times the analysis is so massively complex that it can only be performed with the power of the hyperscale cloud.


SpaceX prepares for Air Force test connecting an aircraft to its Starlink satellite internet

The Starlink test is under the Air Force Research Laboratory's Defense Experimentation Using Commercial Space Internet (DEUCSI) program, for which Ball was awarded a contract in August.



Analyzing data from space – the ultimate intelligent edge scenario

DIU chooses Microsoft and Ball Aerospace for space analyticsTo help with these challenges, the Defense Innovation Unit (DIU) just selected Microsoft and Ball Aerospace to build a solution demonstrating agile cloud processing capabilities in support of the U.S. Air Force’s Commercially Augmented Space Inter Networked Operations (CASINO) project.



A Microsoft Azure Space director becomes executive secretary of the National Space Council

In case you didn't know, Microsoft has Azure Space, which is, as the title would imply, a series of space-focused services and products all utilizing the power of Azure. There's Azure Orbital, Azure Modular Datacenter, Azure Orbital Emulator, and more. Microsoft works with partners such as SpaceX to put these tools to use.

Chirag Parikh is one of the people who led Microsoft's Azure Space initiatives, becoming its senior director in January 2020. Now, he's going to be the executive secretary of the United States National Space Council. The White House said the council's first meeting will be this fall, lead by council chair and U.S. VP Kamala Harris.


---


WO2021206800 - DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE

Applicants
MICROSOFT TECHNOLOGY LICENSING, LLC

Abstract
In non-limiting examples of the present disclosure, systems, methods and devices for synchronizing neuromorphic models are presented. A sensor input may be received by a first neuromorphic model implemented on a neuromorphic architecture of a first computing device. The neuromorphic model may comprise a plurality of neurons, with each of the plurality of neurons associated with a threshold value, a weight value, and a refractory period value. The first sensor input may be processed by the first model. A first output value may be determined based on the processing. The model may be modified via modification of one or more threshold values, weight values, and/or refractory period values. A modified version of the first neuromorphic model may be saved to the first computing device based on the modification. An update comprising the modification may be sent to a second computing device hosting the model.

View attachment 757

[0021] A “neuromorphic model” as described herein is a spiking neuron model comprised of a plurality of neurons that are connected via synapses. Each neuron is associated with a threshold value, a weight value, and a refractory period value. A threshold value associated with a neuron is a charge value that must be met or exceeded via input synapses for the neuron to fire. A weight value associated with a neuron is a charge weight that is passed via firing of a first neuron to a second neuron via a connecting synapse. A refractory period value is a duration of time that a neuron may accumulate charge without firing. In neuromorphic models, there is an explicit time component, and rather than holding values, neurons hold charge. Synapses transmit charge over time, and when a synapse’s charge arrives at a neuron, it is added to the neuron’s charge value. If a neuron’s charge exceeds a threshold, the neuron fires, resetting its charge value to some base value and sending charge out along its outgoing synapses. In a neuromorphic model, threshold values, weight values, and refractory period values are configurable. The goal of training a neuromorphic model is to define connections, thresholds, weights and delays so that the model can “solve” a task. With a classification task, the values of the datapoints must be converted into spikes, and output spikes must be converted into classifications.


---


Microsoft Partnership Will Bring New Cloud Service to DOD Microelectronics Project

Microsoft is working with ten companies on a technology solution for the secure design of microelectronics using a new service in the Azure Government cloud region in support of a Defense Department program, according to a blog post. DOD announced Microsoft and IBM as the winners of a $24.5 million other transaction authority contract in October for a program called the Rapid Assured Microelectronics Prototype (RAMP) using Advanced Commercial Capabilities Project. The contract is part of a Defense Department effort to catalyze the U.S. microelectronics manufacturing base in order to undergird Pentagon emerging technology priorities like artificial intelligence, 5G communications, quantum computing and driverless vehicles, according to an October DOD press release.



Microsoft to build custom chips for the US military

As part of its role in the second phase of the RAMP project, Microsoft has engaged several microelectronics partners across the commercial and defense industrial base, including BAE Systems, Cadence Design Systems, Global Foundries, Siemens EDA, Raytheon Intelligence and Space, and others

Without sharing any details about the chips that’ll be designed in this phase, Microsoft says the objective with the new designs is to help lower power consumption, improve performance, reduce physical size, and improve their reliability for use in DoD systems.

“The RAMP solution will provide an advanced microelectronics development platform for mission-critical applications, with cloud, AI [artificial intelligence], and machine learning-enabled automation, security, and quantifiable assurance,” shared Microsoft, adding that it will host the solution in Azure Government.



Microsoft Has Been Chosen To Build Advanced Chips For The U.S Military

"It was further stated that the Navy and Air Force both desire to leverage commercial capabilities to develop a RAMP prototype methodology. This means that the government is going to be one of the major users of these new futuristic chips."

"The company Microsoft and DoD have collaborated earlier as well, and it has been going on for the past 40 years. their combined efforts were directed towards bringing commercial innovation to the national security community.

A group of companies was headed by Microsoft previously to develop the design capabilities that could achieve the DoD’s mission priorities. This step was the first component of their new collaborative project.

In the second phase, they will develop custom integrated chips and System on a Chip (SoC) with “lower power consumption, improved performance, reduced physical size, and improved reliability for application in DoD systems
.”

"the chips will comprise mission-critical applications, with cloud, AI, and machine learning-enabled automation, security, and quantifiable assurance."



Microsoft is leading a coalition of industry leaders focused on developing capabilities to support RAMP including Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, GlobalFoundries, Intel Corporation, Nimbis Services, Inc., Northrop Grumman, Siemens EDA, Synopsys, Inc., and Zero ASIC Corporation.



Microsoft has engaged microelectronics industry leaders across the commercial and defense industrial base (DIB) to develop this phase of the RAMP project, collaborators include Ansys, Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, Cliosoft, Inc., Flex Logix, GlobalFoundries, Intel Federal, Raytheon Intelligence and Space, Siemens EDA, Synopsys, Inc., Tortuga Logic, and Zero ASIC Corporation.

@uiux are you even human?? 😂

You are literally a machine most likely powered by AI!! 😆 Amazing amount of information you’ve given us in the last 24hrs
 
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Labsy

Regular
Thanks Uiux, absolutely outstanding research...
Very interesting stuff. It seams that Microsoft is embedding azure in everything! Let's hope our little AKIDA is tucked in there somewhere... looks promising.
 
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Shezza

Emerged
Honestly I don't know if I love all this info or it scares the crap out of me.
But let's go with its all Akida and I can feel my pockets filling with cash already.
Very interesting though.
Great post
 
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uiux

Regular
@uiux are you even human?? 😂

You are literally a machine most likely powered by AI!! 😆 Amazing amount of information you’ve given us in the last 24hrs

Literally years of research I have been bringing across. Easier to read on this site too. And I can edit better.
 
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Euks

Regular
Literally years of research I have been bringing across. Easier to read on this site too. And I can edit better.
It’s all very very interesting and I am appreciative of it all. great stuff 🍻
 
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uiux

Regular
It’s all very very interesting and I am appreciative of it all. great stuff 🍻

 
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Twing

Akida’s gambit
Yes another great post uiux.
As I initially flicked through that post I couldn't help thinking, ....And now we have Akida ! ....
Wow this is really getting exciting !
 
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Fox151

Regular
Literally years of research I have been bringing across. Easier to read on this site too. And I can edit better.
And it's not moderated out of existance for being "unsubstantiated information".
 
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''If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.'' - Bill Gates


https://d1io3yog0oux5.cloudfront.ne.../217/1664/pdf/Quarterly+Update+March+2019.pdf

  • The Company has established early discussions with vision sensor manufacturers, automobile manufacturers for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV).
  • It has also commenced discussions with Tier-One module suppliers to the automotive industry in Europe and North America, Vision Guided Robotics, Surveillance Camera, Smart Transducer and Vision Sensor manufacturers.
  • Original Equipment Manufacturers (OEMs), Module Manufacturers and Sensor suppliers(some of whom the Company is already in contact with) in these markets include:
  • ADAS/AV –Valeo, Continental, Aptiv, General Motors, Ford, Micron, Samsung
  • Vision Guided Robotics -HiKvision, iRobot, IRIS, Samsung, Micron
  • Drones –DJI, Safran, Boeing
  • Surveillance cameras –HiKvision, Dauha, Axis
  • Smart Transducers and Vision Sensors –Sensata, On Semiconductor, Sony, ST Microelectronics, Samsung
  • The Company also has ongoing dialogue and potential use cases in laptop computers as well as cell phones that could create intellectual property for integration into their own Application Specific Integrated Circuits (ASICs). These use cases are important because they have the potential to provide additional revenue from Akida IP in parallel with, but separate from revenues from the NSoC release


R-Car Starter Kit uses Microsoft Connected Vehicle Platform and Azure IoT to improve development efficiency.


Bosch, Microsoft join forces to develop vehicle software platform


Microsoft and Toyota Announce Strategic Partnership To Build Next-Generation Telematics on Windows Azure


VW and Microsoft are building an autonomous car platform with Azure at its heart


Microsoft and Sony partner to make smart cameras smarter with Azure AI


Microsoft to trial Azure IoT platform with Samsung smart home tech


Daimler selects Microsoft Azure for its global big data platform


Renault-Nissan-Mitsubishi launches Alliance Intelligent Cloud on Microsoft Azure


Why Microsoft has invested in GM's driverless car unit Cruise


ZF and PwC Germany will transform processes and workflows using Microsoft Azure


Microsoft Azure Wins Boeing's Cloud Business


STMicroelectronics is a Microsoft Azure Certified Partner


Avnet and ON Semiconductor Accelerate IoT Innovation with New Development Framework
Avnet’s IoTConnect® Platform, powered by Microsoft® Azure and the associated Avnet IoT Partner Program facilitate this connection



Microsoft and TSMC announce Joint Innovation Lab to accelerate silicon design on Azure


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Microsoft debuts its edge AI service Azure Percept at Ignite

Azure Percept is designed to enable futuristic scenarios that can be made possible now by combining AI with computing at the network edge. They include elevators that can respond to voice commands and video cameras that can notify store managers when a particular product needs restocking.

These possibilities can be enabled simply by adding AI capabilities such as voice recognition or image classification to standalone edge devices. The new Azure Percept service is set to become Microsoft’s way of doing exactly that.

Azure Percept will connect to Azure AI Cognitive Services and Azure Machine Learning models as well as AI models available from the open-source community that have been designed to run on the edge. In addition, Microsoft is working with various outside silicon and device makers to create what it says will be an ecosystem of intelligent edge devices that are certified to run on Azure Percept.





We need to foundationally transform Cloud: Nadella

"As computing becomes embedded everywhere in our world -- transforming how we interact with people, places and things -- and as physical and digital worlds converge, we will require more sovereignty and decentralised control. Cloud and edge computing will evolve to meet all of these real-world needs," he emphasised.



In addition to announcing hardware, Microsoft says it is working with third-party silicon and equipment manufacturers to build an ecosystem of intelligent edge devices that are certified to run on the Azure Percept platform, Sones said.

“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” she said. “But they can envision it in any kind of responsible form factor to cover a pattern of the world.”



Microsoft acquires rapid prototyping firm The Marsden Group

Microsoft has acquired the British and Texas-based rapid prototyping company The Marsden Group for an undisclosed sum.

Omar Abbosh, Microsoft’s corporate vice-president of cross-industry solutions, announced the deal in a blog post, saying the acquisition will help Microsoft to create new customer value through experimentation and deep industry solutions based on the Microsoft cloud, edge and AI products.


---



Azure Space: Powering innovation on Earth and beyond

Microsoft is taking the next giant leap in cloud computing – to space. We are excited to share the work we are doing to make Azure the platform and ecosystem of choice for the mission needs of the space community with Azure Space.



Azure Space – cloud-powered innovation on and off the planet

A thriving ecosystem of satellite providers is needed to meet the world’s growing network needs, and we are excited to partner with industry leaders to bring these capabilities to our customers faster.
Our new partnership with SpaceX Starlink will provide high-speed, low-latency satellite broadband for the new Azure Modular Datacenter (MDC)
Building on our existing Azure Orbital partnership with SES, we will support its O3B Medium Earth Orbit (MEO) constellation O3b MEO, to extend connectivity between our cloud datacenter regions and cloud edge devices.



Microsoft teams up with SpaceX to launch Azure Space to bring cloud computing into the final frontier
Azure Space, Microsoft's cloud computing platform Azure, aims to offer mobile cloud computing data centers that can deploy anywhere. For the emerging business, Microsoft has called upon SpaceX's Starlink internet satellites and expanded its agreement with satellite company SES for Azure Space.



Microsoft Launches Azure Into Space With HPE's Spaceborne Computer-2

Astronauts and space explorers deserve access to the best cloud computing technologies and advanced processing at the ultimate edge. Sometimes analysis needs to be done immediately at the edge where every passing moment counts, and other times the analysis is so massively complex that it can only be performed with the power of the hyperscale cloud.


SpaceX prepares for Air Force test connecting an aircraft to its Starlink satellite internet

The Starlink test is under the Air Force Research Laboratory's Defense Experimentation Using Commercial Space Internet (DEUCSI) program, for which Ball was awarded a contract in August.



Analyzing data from space – the ultimate intelligent edge scenario

DIU chooses Microsoft and Ball Aerospace for space analyticsTo help with these challenges, the Defense Innovation Unit (DIU) just selected Microsoft and Ball Aerospace to build a solution demonstrating agile cloud processing capabilities in support of the U.S. Air Force’s Commercially Augmented Space Inter Networked Operations (CASINO) project.



A Microsoft Azure Space director becomes executive secretary of the National Space Council

In case you didn't know, Microsoft has Azure Space, which is, as the title would imply, a series of space-focused services and products all utilizing the power of Azure. There's Azure Orbital, Azure Modular Datacenter, Azure Orbital Emulator, and more. Microsoft works with partners such as SpaceX to put these tools to use.

Chirag Parikh is one of the people who led Microsoft's Azure Space initiatives, becoming its senior director in January 2020. Now, he's going to be the executive secretary of the United States National Space Council. The White House said the council's first meeting will be this fall, lead by council chair and U.S. VP Kamala Harris.


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WO2021206800 - DISTRIBUTED NEUROMORPHIC INFRASTRUCTURE

Applicants
MICROSOFT TECHNOLOGY LICENSING, LLC

Abstract
In non-limiting examples of the present disclosure, systems, methods and devices for synchronizing neuromorphic models are presented. A sensor input may be received by a first neuromorphic model implemented on a neuromorphic architecture of a first computing device. The neuromorphic model may comprise a plurality of neurons, with each of the plurality of neurons associated with a threshold value, a weight value, and a refractory period value. The first sensor input may be processed by the first model. A first output value may be determined based on the processing. The model may be modified via modification of one or more threshold values, weight values, and/or refractory period values. A modified version of the first neuromorphic model may be saved to the first computing device based on the modification. An update comprising the modification may be sent to a second computing device hosting the model.

View attachment 757

[0021] A “neuromorphic model” as described herein is a spiking neuron model comprised of a plurality of neurons that are connected via synapses. Each neuron is associated with a threshold value, a weight value, and a refractory period value. A threshold value associated with a neuron is a charge value that must be met or exceeded via input synapses for the neuron to fire. A weight value associated with a neuron is a charge weight that is passed via firing of a first neuron to a second neuron via a connecting synapse. A refractory period value is a duration of time that a neuron may accumulate charge without firing. In neuromorphic models, there is an explicit time component, and rather than holding values, neurons hold charge. Synapses transmit charge over time, and when a synapse’s charge arrives at a neuron, it is added to the neuron’s charge value. If a neuron’s charge exceeds a threshold, the neuron fires, resetting its charge value to some base value and sending charge out along its outgoing synapses. In a neuromorphic model, threshold values, weight values, and refractory period values are configurable. The goal of training a neuromorphic model is to define connections, thresholds, weights and delays so that the model can “solve” a task. With a classification task, the values of the datapoints must be converted into spikes, and output spikes must be converted into classifications.


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Microsoft Partnership Will Bring New Cloud Service to DOD Microelectronics Project

Microsoft is working with ten companies on a technology solution for the secure design of microelectronics using a new service in the Azure Government cloud region in support of a Defense Department program, according to a blog post. DOD announced Microsoft and IBM as the winners of a $24.5 million other transaction authority contract in October for a program called the Rapid Assured Microelectronics Prototype (RAMP) using Advanced Commercial Capabilities Project. The contract is part of a Defense Department effort to catalyze the U.S. microelectronics manufacturing base in order to undergird Pentagon emerging technology priorities like artificial intelligence, 5G communications, quantum computing and driverless vehicles, according to an October DOD press release.



Microsoft to build custom chips for the US military

As part of its role in the second phase of the RAMP project, Microsoft has engaged several microelectronics partners across the commercial and defense industrial base, including BAE Systems, Cadence Design Systems, Global Foundries, Siemens EDA, Raytheon Intelligence and Space, and others

Without sharing any details about the chips that’ll be designed in this phase, Microsoft says the objective with the new designs is to help lower power consumption, improve performance, reduce physical size, and improve their reliability for use in DoD systems.

“The RAMP solution will provide an advanced microelectronics development platform for mission-critical applications, with cloud, AI [artificial intelligence], and machine learning-enabled automation, security, and quantifiable assurance,” shared Microsoft, adding that it will host the solution in Azure Government.



Microsoft Has Been Chosen To Build Advanced Chips For The U.S Military

"It was further stated that the Navy and Air Force both desire to leverage commercial capabilities to develop a RAMP prototype methodology. This means that the government is going to be one of the major users of these new futuristic chips."

"The company Microsoft and DoD have collaborated earlier as well, and it has been going on for the past 40 years. their combined efforts were directed towards bringing commercial innovation to the national security community.

A group of companies was headed by Microsoft previously to develop the design capabilities that could achieve the DoD’s mission priorities. This step was the first component of their new collaborative project.

In the second phase, they will develop custom integrated chips and System on a Chip (SoC) with “lower power consumption, improved performance, reduced physical size, and improved reliability for application in DoD systems
.”

"the chips will comprise mission-critical applications, with cloud, AI, and machine learning-enabled automation, security, and quantifiable assurance."



Microsoft is leading a coalition of industry leaders focused on developing capabilities to support RAMP including Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, GlobalFoundries, Intel Corporation, Nimbis Services, Inc., Northrop Grumman, Siemens EDA, Synopsys, Inc., and Zero ASIC Corporation.



Microsoft has engaged microelectronics industry leaders across the commercial and defense industrial base (DIB) to develop this phase of the RAMP project, collaborators include Ansys, Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, Cliosoft, Inc., Flex Logix, GlobalFoundries, Intel Federal, Raytheon Intelligence and Space, Siemens EDA, Synopsys, Inc., Tortuga Logic, and Zero ASIC Corporation.
Uiux,
Your post is one of the most compelling articles related to our journey, well at least the destination where we would like to visit.
Only 56 likes. I implore other forum members to read this with eyes wide open and think of the possibilities “if”.
I believe “when”

Akida - the unfair advantage!
 
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