Microsoft Azure

Great post @uiux !👍 excellent summary of references and fantastic to see the significant resources Microsoft is investing into edge AI!

Just to confirm how we’d benefit from this, Microsoft is providing the tools and vision to create code and solutions, but it will still depend on a chip that can actually handle what is being programmed. In essence, Microsoft leading the next generation of AI developers to the edge, is free marketing for us which will drive growth in uptake and demand Akida chips in as many devices as possible.

This is where our IP licensing model becomes the sleeping giant! It won’t work without Akida.
 
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JDelekto

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

I like how the forum summarizes the links to outside sites in the post. Verify similar to Teams chat or Outlook 365 Web access.

I too found it much easier to edit posts, but also easier to read embedded URL links and I don't have that weird bug where backspacing the first character on my replies deletes the quote from the person to whom I replied. Much improved.

Thank you very much for moving over all of your research, I have a lot to catch up on now!
 
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Dougie54

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And no adds whoooo hoooooo
 
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Hay08

Emerged
Yes no adds which is great... let us all not forget to use donate button:
Donate with PayPal button
......;)
IMHO..so we can keep TSE smoothly running and our sights free of annoying adds.
 
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uiux

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And it's not moderated out of existance for being "unsubstantiated information".

I was extremely rarely modded for that, maybe twice
 
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Is Akida being used here by Microsoft or is this a bunch of other stuck together GPU’s, hardware and a lot of “AI”programming?

 
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Jefwilto

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



  • 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.


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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.
👏👏👏👏
 
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Wow Jefwilto that is a sensational post. You should throw it over onto the general discussion thread as well. Needs as much exposure as possible.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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I placed this in the open forum but would love @uiux to look into this and comment. What are the chances of some secret sauce in this arm based chip?
When Rob likes it. I love it!
C51B8FA7-1C8E-48D3-AF21-A4E95697BFEA.png
 
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charles2

Regular

Not sure if this is too relevant but it involves MSFT and Cerence.
 
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uiux

Regular
I placed this in the open forum but would love @uiux to look into this and comment. What are the chances of some secret sauce in this arm based chip?
When Rob likes it. I love it!
View attachment 15485

I don't believe there's anything in these systems that indicates Akida.. the key take away is that Microsoft is deploying ARM based hardware in their Azure infrastructure


Interesting.. older news from that article:


Microsoft Corp. is working on in-house processor designs for use in server computers that run the company’s cloud services, adding to an industrywide effort to reduce reliance on Intel Corp.’s chip technology.

The world’s largest software maker is using Arm Ltd. designs to produce a processor that will be used in its data centers, according to people familiar with the plans.



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I am watching for this:




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

1661899691941.png


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Which clearly indicates neuromorphic technologies including cloud based neuromorphic models.
 
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stuart888

Regular
1661963020909.png


Sigfox LoRa NbioT - what are they?​

There are various networks globally, like WiFi, Bluetooth, wired Ethernet, 4G, 5G, etc. These networks send a lot of data over the internet, consuming considerable amounts of current and necessitating constant connectivity to a power source. The difference with WiFi is that this is limited in transmitting distance, whereas LPWAN can transmit up to long distances. High speed cellular networks are wider area networks, but not low power. LPWAN networks are wider area networks and low energy.

Sigfox, LoRa, and NB-IoT, along with others such as Mioty and Wirepas, are networks that transmit information from the devices to the internet but do not have a high data rate, and so do not consume much energy. They are networks by which a device 'speaks' to the internet and devices located at distances, some up to five kilometres away. In addition, often, the networks do not need a power source. Instead, a simple battery is sufficient and will last for several years.

https://www.iotsolutions.com.mt/post/sigfox-vs-lora-vs-nb-iot-who-s-doing-it-best

 
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uiux

Regular
View attachment 15568

Sigfox LoRa NbioT - what are they?​

There are various networks globally, like WiFi, Bluetooth, wired Ethernet, 4G, 5G, etc. These networks send a lot of data over the internet, consuming considerable amounts of current and necessitating constant connectivity to a power source. The difference with WiFi is that this is limited in transmitting distance, whereas LPWAN can transmit up to long distances. High speed cellular networks are wider area networks, but not low power. LPWAN networks are wider area networks and low energy.

Sigfox, LoRa, and NB-IoT, along with others such as Mioty and Wirepas, are networks that transmit information from the devices to the internet but do not have a high data rate, and so do not consume much energy. They are networks by which a device 'speaks' to the internet and devices located at distances, some up to five kilometres away. In addition, often, the networks do not need a power source. Instead, a simple battery is sufficient and will last for several years.

https://www.iotsolutions.com.mt/post/sigfox-vs-lora-vs-nb-iot-who-s-doing-it-best



Off topic?
 
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uiux

Regular

Screenshot_20220901-015109.png


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No description yet
 
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stuart888

Regular
Off topic?
Thanks @uiux. Good point. I was focused on the network communication part (#120, #122, #118 in the chart) of the Distributed Neuromorphic Infrastructure.

Your post sent me to LoRaWan learning-land! The various ways edge senor nodes can communicate periodically is fascinating.

Keep up the great effort!

1662059673791.png
 
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I liked this paragraph:

“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”

If I add @Bravo ‘s reveal of Brainchip being promoted by Synopsys as recently as May, 2022 I feel reasonably comfortable in stating that I will now not be surprised when an announcement is made advising that Brainchip is linked in some fashion to Microsoft.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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