BRN Discussion Ongoing

[Deleted member 118]

ok further to the above about Dcm and googles discussion on federated learning im a tad EXCITED!!! I found a paper on federated learning and it mentions Brainchip!

I can't seem to attach the pdf not screen shot it .

But ive manage to screeb shot where i found the article

View attachment 6801

You should ask for promotion at work

 

[LuWil]

A few Embedded Vision Summit sessions to look out for-​

LAGUNA HILLS, CA / ACCESSWIRE / May 16, 2022 / BrainChip Holdings Ltd ((ASX:BRN, OTCQX:BRCHF, OTC:BCHPY), the world's first commercial producer of ultra-low power neuromorphic AI IP, announced today it will exhibit at the 2022 Embedded Vision Summit, the premier event for innovators incorporating computer vision and edge AI in products. BrainChip will showcase its neuromorphic AI chips and IP in Booth No. 725 of the Santa Clara Convention Center, Santa Clara, Calif. May 17-19.

The event will feature industry innovators, top technologists and engineers who are designing products using computer vision and edge AI for a wide range of industries including automotive, entertainment, healthcare, manufacturing, retail, robotics, security and more.

"Embedded Vision Summit is an ideal place to showcase the high-performance, ultra-low power attributes of our technology," said Rob Telson, Vice President of Worldwide Sales at BrainChip. "In past years, we came to Embedded Vision to demonstrate what was possible with neuromorphic computing. This year, we are excited to show our commercially available Akida IP platform, and how our customers are making edge AI real."

Arm Cortex-M Series Processors Spark a New Era of Use Cases, Enabling Low-cost, Low-power Computer Vision and Machine Learning

The Arm Cortex-M processor family of microcontrollers is designed and optimized for cost- and energy-efficient devices, and can be found in a variety of applications such as the internet of things devices, industrial equipment and consumer electronics. As awareness has […]

embeddedvisionsummit.com

Arm Cortex-M Series Processors Spark a New Era of Use Cases, Enabling Low-cost, Low-power Computer Vision and Machine Learning​

The Arm Cortex-M processor family of microcontrollers is designed and optimized for cost- and energy-efficient devices, and can be found in a variety of applications such as the internet of things devices, industrial equipment and consumer electronics. As awareness has grown about the benefits of incorporating visual intelligence into systems, there’s increased interest in implementing both classical computer vision and machine learning in cost- and energy-constrained devices such as video doorbells. In this talk, we explore the computer vision and machine learning capabilities of Arm’s ultra-low power Cortex-M0+, Cortex-M4 and Cortex-M7 processors with DSP instruction set extensions, as well as the latest Cortex-M55, which delivers tremendous performance and efficiency via the M-profile vector instruction set extensions based on Arm Helium technology. We’ll also showcase how Arm is empowering the entire CV/ML ecosystem—including silicon partners, ISVs, OSVs, developers, and OEMs—with reference software and development tools.

How Do We Enable Edge ML Everywhere? Data, Reliability, and Silicon Flexibility

In this talk, Zach Shelby, co-founder and CEO of Edge Impulse, reveals insights from the company’s recent global edge ML developer survey, which identified key barriers to machine learning adoption, and shares the company’s vision for how the industry can […]

embeddedvisionsummit.com

How Do We Enable Edge ML Everywhere? Data, Reliability, and Silicon Flexibility​

In this talk, Zach Shelby, co-founder and CEO of Edge Impulse, reveals insights from the company’s recent global edge ML developer survey, which identified key barriers to machine learning adoption, and shares the company’s vision for how the industry can overcome these obstacles.

Unsurprisingly, the first critical obstacle identified by the survey is data. But the issue isn’t simply a lack of massive datasets, as is often assumed. On the contrary, the biggest opportunities in ML will be enabled by highly custom, industry-specific and even user-specific data. We need to master data lifecycle and active learning techniques that enable developers to move quickly from “zero to dataset.”

The real and perceived inability of today’s ML algorithms to reach the ultra-high accuracy needed in industrial systems is another key barrier. New techniques for explainable ML, better testing, sensor fusion and model fusion will increasingly allow developers to achieve industrial-grade reliability.

Finally, in order to accelerate ML adoption in embedded products, we must recognize that most developers can’t immediately upgrade their systems to use the latest chips — a problem that is compounded by today’s chip shortages. To enable ML everywhere, we have to find ways to deploy ML on today’s silicon, while ensuring a smooth transition to new devices with AI acceleration in the future.

Powering the Connected Intelligent Edge and the Future of On-Device AI

Qualcomm is leading the realization of the “connected intelligent edge,” where the convergence of wireless connectivity, efficient computing and distributed AI will power the devices and experiences that you deserve. In this talk, we’ll explore some of the key challenges […]

embeddedvisionsummit.com

Powering the Connected Intelligent Edge and the Future of On-Device AI​

Qualcomm is leading the realization of the “connected intelligent edge,” where the convergence of wireless connectivity, efficient computing and distributed AI will power the devices and experiences that you deserve. In this talk, we’ll explore some of the key challenges in deploying AI across diverse edge products in markets including mobile, automotive, XR, IoT, robotics and PCs — and some of the important differences in the AI requirements of these applications. We will also identify unique AI features that will be needed as physical and digital spaces converge in what is now called the “metaverse”. We will highlight key AI technologies offered within Qualcomm products, and how we connect them together to enable the connected intelligent edge. Finally, we’ll share our vision of the future of on-device AI — including on-device learning, efficient models, state-of-the-art quantization, and how Qualcomm plans to make this vision a reality.

 

[Deleted member 118]

Morning fellow brners
Federated learning? Can anyone enlighten me.
I found this article yesterday 16 may and thought of Akida especially the last paragraph.

View attachment 6795

Fintech recent news | InformationWeek

Explore the latest news and expert commentary on Fintech, brought to you by the editors of InformationWeek

www.informationweek.com

Asynchronous Federated Learning System Based on Permissioned Blockchains

The existing federated learning framework is based on the centralized model coordinator, which still faces serious security challenges such as device differentiated computing power, single point of failure, poor privacy, and lack of Byzantine fault tolerance. In this paper, we propose an...

www.mdpi.com

 

[M_C]

EXCLUSIVE: Autonomous car of the future quietly tested on Australian roads

Your car of tomorrow may be able to drive itself, thanks – in part – to technology developed by Mercedes-Benz on public Australian roads.

www.drive.com.au

 

[Deleted member 118]

​

Human Behaviour Artificial Intelligence | NVISO

NVISO is a global leader in human behaviour artificial intelligence (AI) software serving manufacturers of user-centric products and services worldwide.

www.nviso.ai

​

HUMANISING​

AUTONOMOUS MACHINES​

NVISO is a global leader in human behaviour artificial intelligence (AI) software for the extreme edge, serving manufacturers of user-centric products and services worldwide. Our mission is to help teach machines to understand people and their behavior to make autonomous machines safe, secure, and personalized for humans.
REQUEST SDK

HUMAN CENTRIC USER EXPERIENCES​

AT THE EXTREME EDGE​

Globally deployed, validated, and award-winning human behaviour AI technology for key applications in electric and autonomous vehicles with advanced in-cabin monitoring, patient monitoring for remote tele-medicine in healthcare/ robotics, and intelligent devices for smart homes. Built on real-timeperception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trustedscientific research.

HUMAN COMPUTER VISION​

• Faces
• Hands and Body
• Objects

ULTRA-LOW POWER DEEP LEARNING​

• Low-power ARM Cortex CPUs
• Sparse and quantized NPU accelerators
• Neuromorphic computing

APPLICATIONS THAT MATTER​

• Smart Living
• Smart Mobility
• Smart Health

TURNING ARTIFICIAL INTELLIGENCE INTO BUSINESS SOLUTIONS​

SMART LIVING​

Enabling new human-machine interactions and experiences through advanced emotion analysis with intelligent consumer electronic devices.
Learn More

SMART MOBILITY​

Enhancing the safety, security, and comfort of connected and autonomous vehicles with advanced driver and occupant detection, authentication, and monitoring.
Learn More

SMART HEALTH​

Empowering medical professionals with intelligent patient monitoring to drive better patient outcomes while improving efficiency in aged-care homes and hospitals.
Learn More

ULTRA LOW-POWER DEEP LEARNING TECHNOLOGY​

Providing state-of-the-art artificial intelligence software to sense, assess, and act upon human behaviour at the extreme edge.
Learn More

LOW POWER​

NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection), while being compatible with low-power IoT devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing, NVISO is future proof and works best at the extreme edge.

PRIVACY PRESERVING​

Protects user privacy by design with advanced security and creates better user experiences due to lower latency of processing. Propelled by the deployment of 5G and Internet of Things devices (internet-connected devices) where ultra-low power machine learning processors allow analytics to be located close to where the data is created. Privacy can be further enhanced with on-device learning and federated learning.

NO CLOUD​

Flexible sensor driven AI system architecture, where no internet connectivity is required and no cloud is needed for the product or service to operate unleashes the ultimate power of artificial intelligence. A configurable AI App catalogue for vision that applies computer vision and machine learning algorithms to perform a variety of perception and observation tasks available for a wide range of hardware platforms without an internet connection.

HUMAN BEHAVIOUR AI SDKS​

EXTREME EDGE PLATFORMS​

Intelligent Low-Power IoT Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans. Supported platforms include:

• Raspberry Pi 3B+/4B
• NXP i.MX8 Nano
• BrainChip Akida

CONSUMER SDK
Mobile Phone and Tablet Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans.

• Android Mobile and Tablets OS 9.0+
• Apple iOS for Mobile OS 13.0+
• Apple iOS for iPad OS 13.0+

HEALTHCARE SDK
Embedded High Performance Computing
NVISO provides artificial intelligence that can sense, assess and act upon human behaviour, enabling safer, more personalized, and convenient experiences for the mobility services of the tomorrow.

• NVIDIA Jetson Xavier
• NXP i.MX8 QuadMax
• Ambarella CV2x

AUTOMOTIVE SDK

​

How good is this

 

[Bravo]

ok further to the above about Dcm and googles discussion on federated learning im a tad EXCITED!!! I found a paper on federated learning and it mentions Brainchip!

I can't seem to attach the pdf not screen shot it .

But ive manage to screeb shot where i found the article

View attachment 6801

Hi MD,

I posted something on Federated Learning in April leading me to question whether Fraunhofer has incorporated Akida.

 

[Fact Finder]

​

Human Behaviour Artificial Intelligence | NVISO

NVISO is a global leader in human behaviour artificial intelligence (AI) software serving manufacturers of user-centric products and services worldwide.

www.nviso.ai

​

HUMANISING​

AUTONOMOUS MACHINES​

NVISO is a global leader in human behaviour artificial intelligence (AI) software for the extreme edge, serving manufacturers of user-centric products and services worldwide. Our mission is to help teach machines to understand people and their behavior to make autonomous machines safe, secure, and personalized for humans.
REQUEST SDK

HUMAN CENTRIC USER EXPERIENCES​

AT THE EXTREME EDGE​

Globally deployed, validated, and award-winning human behaviour AI technology for key applications in electric and autonomous vehicles with advanced in-cabin monitoring, patient monitoring for remote tele-medicine in healthcare/ robotics, and intelligent devices for smart homes. Built on real-timeperception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trustedscientific research.

HUMAN COMPUTER VISION​

• Faces
• Hands and Body
• Objects

ULTRA-LOW POWER DEEP LEARNING​

• Low-power ARM Cortex CPUs
• Sparse and quantized NPU accelerators
• Neuromorphic computing

APPLICATIONS THAT MATTER​

• Smart Living
• Smart Mobility
• Smart Health

TURNING ARTIFICIAL INTELLIGENCE INTO BUSINESS SOLUTIONS​

SMART LIVING​

Enabling new human-machine interactions and experiences through advanced emotion analysis with intelligent consumer electronic devices.
Learn More

SMART MOBILITY​

Enhancing the safety, security, and comfort of connected and autonomous vehicles with advanced driver and occupant detection, authentication, and monitoring.
Learn More

SMART HEALTH​

Empowering medical professionals with intelligent patient monitoring to drive better patient outcomes while improving efficiency in aged-care homes and hospitals.
Learn More

ULTRA LOW-POWER DEEP LEARNING TECHNOLOGY​

Providing state-of-the-art artificial intelligence software to sense, assess, and act upon human behaviour at the extreme edge.
Learn More

LOW POWER​

NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection), while being compatible with low-power IoT devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing, NVISO is future proof and works best at the extreme edge.

PRIVACY PRESERVING​

Protects user privacy by design with advanced security and creates better user experiences due to lower latency of processing. Propelled by the deployment of 5G and Internet of Things devices (internet-connected devices) where ultra-low power machine learning processors allow analytics to be located close to where the data is created. Privacy can be further enhanced with on-device learning and federated learning.

NO CLOUD​

Flexible sensor driven AI system architecture, where no internet connectivity is required and no cloud is needed for the product or service to operate unleashes the ultimate power of artificial intelligence. A configurable AI App catalogue for vision that applies computer vision and machine learning algorithms to perform a variety of perception and observation tasks available for a wide range of hardware platforms without an internet connection.

HUMAN BEHAVIOUR AI SDKS​

EXTREME EDGE PLATFORMS​

Intelligent Low-Power IoT Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans. Supported platforms include:

• Raspberry Pi 3B+/4B
• NXP i.MX8 Nano
• BrainChip Akida

CONSUMER SDK
Mobile Phone and Tablet Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans.

• Android Mobile and Tablets OS 9.0+
• Apple iOS for Mobile OS 13.0+
• Apple iOS for iPad OS 13.0+

HEALTHCARE SDK
Embedded High Performance Computing
NVISO provides artificial intelligence that can sense, assess and act upon human behaviour, enabling safer, more personalized, and convenient experiences for the mobility services of the tomorrow.

• NVIDIA Jetson Xavier
• NXP i.MX8 QuadMax
• Ambarella CV2x

AUTOMOTIVE SDK

​

How good is this

This is much better than good this is goodest. Great find so much to unpack.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[TechGirl]

​

Human Behaviour Artificial Intelligence | NVISO

NVISO is a global leader in human behaviour artificial intelligence (AI) software serving manufacturers of user-centric products and services worldwide.

www.nviso.ai

​

HUMANISING​

AUTONOMOUS MACHINES​

NVISO is a global leader in human behaviour artificial intelligence (AI) software for the extreme edge, serving manufacturers of user-centric products and services worldwide. Our mission is to help teach machines to understand people and their behavior to make autonomous machines safe, secure, and personalized for humans.
REQUEST SDK

HUMAN CENTRIC USER EXPERIENCES​

AT THE EXTREME EDGE​

Globally deployed, validated, and award-winning human behaviour AI technology for key applications in electric and autonomous vehicles with advanced in-cabin monitoring, patient monitoring for remote tele-medicine in healthcare/ robotics, and intelligent devices for smart homes. Built on real-timeperception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trustedscientific research.

HUMAN COMPUTER VISION​

• Faces
• Hands and Body
• Objects

ULTRA-LOW POWER DEEP LEARNING​

• Low-power ARM Cortex CPUs
• Sparse and quantized NPU accelerators
• Neuromorphic computing

APPLICATIONS THAT MATTER​

• Smart Living
• Smart Mobility
• Smart Health

TURNING ARTIFICIAL INTELLIGENCE INTO BUSINESS SOLUTIONS​

SMART LIVING​

Enabling new human-machine interactions and experiences through advanced emotion analysis with intelligent consumer electronic devices.
Learn More

SMART MOBILITY​

Enhancing the safety, security, and comfort of connected and autonomous vehicles with advanced driver and occupant detection, authentication, and monitoring.
Learn More

SMART HEALTH​

Empowering medical professionals with intelligent patient monitoring to drive better patient outcomes while improving efficiency in aged-care homes and hospitals.
Learn More

ULTRA LOW-POWER DEEP LEARNING TECHNOLOGY​

Providing state-of-the-art artificial intelligence software to sense, assess, and act upon human behaviour at the extreme edge.
Learn More

LOW POWER​

NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection), while being compatible with low-power IoT devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing, NVISO is future proof and works best at the extreme edge.

PRIVACY PRESERVING​

Protects user privacy by design with advanced security and creates better user experiences due to lower latency of processing. Propelled by the deployment of 5G and Internet of Things devices (internet-connected devices) where ultra-low power machine learning processors allow analytics to be located close to where the data is created. Privacy can be further enhanced with on-device learning and federated learning.

NO CLOUD​

Flexible sensor driven AI system architecture, where no internet connectivity is required and no cloud is needed for the product or service to operate unleashes the ultimate power of artificial intelligence. A configurable AI App catalogue for vision that applies computer vision and machine learning algorithms to perform a variety of perception and observation tasks available for a wide range of hardware platforms without an internet connection.

HUMAN BEHAVIOUR AI SDKS​

EXTREME EDGE PLATFORMS​

Intelligent Low-Power IoT Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans. Supported platforms include:

• Raspberry Pi 3B+/4B
• NXP i.MX8 Nano
• BrainChip Akida

CONSUMER SDK
Mobile Phone and Tablet Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans.

• Android Mobile and Tablets OS 9.0+
• Apple iOS for Mobile OS 13.0+
• Apple iOS for iPad OS 13.0+

HEALTHCARE SDK
Embedded High Performance Computing
NVISO provides artificial intelligence that can sense, assess and act upon human behaviour, enabling safer, more personalized, and convenient experiences for the mobility services of the tomorrow.

• NVIDIA Jetson Xavier
• NXP i.MX8 QuadMax
• Ambarella CV2x

AUTOMOTIVE SDK

​

How good is this

Bloody Brilliant Rocket, thanks heaps, I’m excited

 

[Fact Finder]

My favourite part under Mobile Phones on the link:

“ULTRA LOW-LATENCY​

(1.) NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection),

(2.) while being compatible with low-power IoT devices.

(3.) Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing,

(4.) NVISO is future proof and works best at the extreme edge”

My opinion only DYOR
FF

AKIDA BALLISTA

 

[LuWil]

​

Human Behaviour Artificial Intelligence | NVISO

NVISO is a global leader in human behaviour artificial intelligence (AI) software serving manufacturers of user-centric products and services worldwide.

www.nviso.ai

​

HUMANISING​

AUTONOMOUS MACHINES​

NVISO is a global leader in human behaviour artificial intelligence (AI) software for the extreme edge, serving manufacturers of user-centric products and services worldwide. Our mission is to help teach machines to understand people and their behavior to make autonomous machines safe, secure, and personalized for humans.
REQUEST SDK

HUMAN CENTRIC USER EXPERIENCES​

AT THE EXTREME EDGE​

Globally deployed, validated, and award-winning human behaviour AI technology for key applications in electric and autonomous vehicles with advanced in-cabin monitoring, patient monitoring for remote tele-medicine in healthcare/ robotics, and intelligent devices for smart homes. Built on real-timeperception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trustedscientific research.

HUMAN COMPUTER VISION​

• Faces
• Hands and Body
• Objects

ULTRA-LOW POWER DEEP LEARNING​

• Low-power ARM Cortex CPUs
• Sparse and quantized NPU accelerators
• Neuromorphic computing

APPLICATIONS THAT MATTER​

• Smart Living
• Smart Mobility
• Smart Health

TURNING ARTIFICIAL INTELLIGENCE INTO BUSINESS SOLUTIONS​

SMART LIVING​

Enabling new human-machine interactions and experiences through advanced emotion analysis with intelligent consumer electronic devices.
Learn More

SMART MOBILITY​

Enhancing the safety, security, and comfort of connected and autonomous vehicles with advanced driver and occupant detection, authentication, and monitoring.
Learn More

SMART HEALTH​

Empowering medical professionals with intelligent patient monitoring to drive better patient outcomes while improving efficiency in aged-care homes and hospitals.
Learn More

ULTRA LOW-POWER DEEP LEARNING TECHNOLOGY​

Providing state-of-the-art artificial intelligence software to sense, assess, and act upon human behaviour at the extreme edge.
Learn More

LOW POWER​

NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection), while being compatible with low-power IoT devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing, NVISO is future proof and works best at the extreme edge.

PRIVACY PRESERVING​

Protects user privacy by design with advanced security and creates better user experiences due to lower latency of processing. Propelled by the deployment of 5G and Internet of Things devices (internet-connected devices) where ultra-low power machine learning processors allow analytics to be located close to where the data is created. Privacy can be further enhanced with on-device learning and federated learning.

NO CLOUD​

Flexible sensor driven AI system architecture, where no internet connectivity is required and no cloud is needed for the product or service to operate unleashes the ultimate power of artificial intelligence. A configurable AI App catalogue for vision that applies computer vision and machine learning algorithms to perform a variety of perception and observation tasks available for a wide range of hardware platforms without an internet connection.

HUMAN BEHAVIOUR AI SDKS​

EXTREME EDGE PLATFORMS​

Intelligent Low-Power IoT Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans. Supported platforms include:

• Raspberry Pi 3B+/4B
• NXP i.MX8 Nano
• BrainChip Akida

CONSUMER SDK
Mobile Phone and Tablet Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans.

• Android Mobile and Tablets OS 9.0+
• Apple iOS for Mobile OS 13.0+
• Apple iOS for iPad OS 13.0+

HEALTHCARE SDK
Embedded High Performance Computing
NVISO provides artificial intelligence that can sense, assess and act upon human behaviour, enabling safer, more personalized, and convenient experiences for the mobility services of the tomorrow.

• NVIDIA Jetson Xavier
• NXP i.MX8 QuadMax
• Ambarella CV2x

AUTOMOTIVE SDK

​

How good is this

 

[buena suerte :-)]

​

Human Behaviour Artificial Intelligence | NVISO

NVISO is a global leader in human behaviour artificial intelligence (AI) software serving manufacturers of user-centric products and services worldwide.

www.nviso.ai

​

HUMANISING​

AUTONOMOUS MACHINES​

NVISO is a global leader in human behaviour artificial intelligence (AI) software for the extreme edge, serving manufacturers of user-centric products and services worldwide. Our mission is to help teach machines to understand people and their behavior to make autonomous machines safe, secure, and personalized for humans.
REQUEST SDK

HUMAN CENTRIC USER EXPERIENCES​

AT THE EXTREME EDGE​

Globally deployed, validated, and award-winning human behaviour AI technology for key applications in electric and autonomous vehicles with advanced in-cabin monitoring, patient monitoring for remote tele-medicine in healthcare/ robotics, and intelligent devices for smart homes. Built on real-timeperception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trustedscientific research.

HUMAN COMPUTER VISION​

• Faces
• Hands and Body
• Objects

ULTRA-LOW POWER DEEP LEARNING​

• Low-power ARM Cortex CPUs
• Sparse and quantized NPU accelerators
• Neuromorphic computing

APPLICATIONS THAT MATTER​

• Smart Living
• Smart Mobility
• Smart Health

TURNING ARTIFICIAL INTELLIGENCE INTO BUSINESS SOLUTIONS​

SMART LIVING​

Enabling new human-machine interactions and experiences through advanced emotion analysis with intelligent consumer electronic devices.
Learn More

SMART MOBILITY​

Enhancing the safety, security, and comfort of connected and autonomous vehicles with advanced driver and occupant detection, authentication, and monitoring.
Learn More

SMART HEALTH​

Empowering medical professionals with intelligent patient monitoring to drive better patient outcomes while improving efficiency in aged-care homes and hospitals.
Learn More

ULTRA LOW-POWER DEEP LEARNING TECHNOLOGY​

Providing state-of-the-art artificial intelligence software to sense, assess, and act upon human behaviour at the extreme edge.
Learn More

LOW POWER​

NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection), while being compatible with low-power IoT devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing, NVISO is future proof and works best at the extreme edge.

PRIVACY PRESERVING​

Protects user privacy by design with advanced security and creates better user experiences due to lower latency of processing. Propelled by the deployment of 5G and Internet of Things devices (internet-connected devices) where ultra-low power machine learning processors allow analytics to be located close to where the data is created. Privacy can be further enhanced with on-device learning and federated learning.

NO CLOUD​

Flexible sensor driven AI system architecture, where no internet connectivity is required and no cloud is needed for the product or service to operate unleashes the ultimate power of artificial intelligence. A configurable AI App catalogue for vision that applies computer vision and machine learning algorithms to perform a variety of perception and observation tasks available for a wide range of hardware platforms without an internet connection.

HUMAN BEHAVIOUR AI SDKS​

EXTREME EDGE PLATFORMS​

Intelligent Low-Power IoT Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans. Supported platforms include:

• Raspberry Pi 3B+/4B
• NXP i.MX8 Nano
• BrainChip Akida

CONSUMER SDK
Mobile Phone and Tablet Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans.

• Android Mobile and Tablets OS 9.0+
• Apple iOS for Mobile OS 13.0+
• Apple iOS for iPad OS 13.0+

HEALTHCARE SDK
Embedded High Performance Computing
NVISO provides artificial intelligence that can sense, assess and act upon human behaviour, enabling safer, more personalized, and convenient experiences for the mobility services of the tomorrow.

• NVIDIA Jetson Xavier
• NXP i.MX8 QuadMax
• Ambarella CV2x

AUTOMOTIVE SDK

​

How good is this

Heart beat has got a bit faster!!!! ...... great post Rocket Exciting

 

[Rise from the ashes]

NVISO achieves another milestone with Interior Monitoring System running on Neuromorphic computing | NVISO

www.nviso.ai

 

[Bravo]

Hi MD,

I posted something on Federated Learning in April leading me to question whether Fraunhofer has incorporated Akida.


View attachment 6804

Fraunhofer held a workshop in September 2021 where they invited guest speaker Blaise Aguera Y Arcus who leads an organisation at Google AI working on research and new products. This is the link to one of Blaise's team's public contributions on Federated Learning which shows how it all works in cartoon format and where BrainCHip's Akida might fit into the scheme of things.

Parallel, Distributed, and Federated Learning

 

[ndefries]

​

Human Behaviour Artificial Intelligence | NVISO

NVISO is a global leader in human behaviour artificial intelligence (AI) software serving manufacturers of user-centric products and services worldwide.

www.nviso.ai

​

HUMANISING​

AUTONOMOUS MACHINES​

NVISO is a global leader in human behaviour artificial intelligence (AI) software for the extreme edge, serving manufacturers of user-centric products and services worldwide. Our mission is to help teach machines to understand people and their behavior to make autonomous machines safe, secure, and personalized for humans.
REQUEST SDK

HUMAN CENTRIC USER EXPERIENCES​

AT THE EXTREME EDGE​

Globally deployed, validated, and award-winning human behaviour AI technology for key applications in electric and autonomous vehicles with advanced in-cabin monitoring, patient monitoring for remote tele-medicine in healthcare/ robotics, and intelligent devices for smart homes. Built on real-timeperception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trustedscientific research.

HUMAN COMPUTER VISION​

• Faces
• Hands and Body
• Objects

ULTRA-LOW POWER DEEP LEARNING​

• Low-power ARM Cortex CPUs
• Sparse and quantized NPU accelerators
• Neuromorphic computing

APPLICATIONS THAT MATTER​

• Smart Living
• Smart Mobility
• Smart Health

TURNING ARTIFICIAL INTELLIGENCE INTO BUSINESS SOLUTIONS​

SMART LIVING​

Enabling new human-machine interactions and experiences through advanced emotion analysis with intelligent consumer electronic devices.
Learn More

SMART MOBILITY​

Enhancing the safety, security, and comfort of connected and autonomous vehicles with advanced driver and occupant detection, authentication, and monitoring.
Learn More

SMART HEALTH​

Empowering medical professionals with intelligent patient monitoring to drive better patient outcomes while improving efficiency in aged-care homes and hospitals.
Learn More

ULTRA LOW-POWER DEEP LEARNING TECHNOLOGY​

Providing state-of-the-art artificial intelligence software to sense, assess, and act upon human behaviour at the extreme edge.
Learn More

LOW POWER​

NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection), while being compatible with low-power IoT devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing, NVISO is future proof and works best at the extreme edge.

PRIVACY PRESERVING​

Protects user privacy by design with advanced security and creates better user experiences due to lower latency of processing. Propelled by the deployment of 5G and Internet of Things devices (internet-connected devices) where ultra-low power machine learning processors allow analytics to be located close to where the data is created. Privacy can be further enhanced with on-device learning and federated learning.

NO CLOUD​

Flexible sensor driven AI system architecture, where no internet connectivity is required and no cloud is needed for the product or service to operate unleashes the ultimate power of artificial intelligence. A configurable AI App catalogue for vision that applies computer vision and machine learning algorithms to perform a variety of perception and observation tasks available for a wide range of hardware platforms without an internet connection.

HUMAN BEHAVIOUR AI SDKS​

EXTREME EDGE PLATFORMS​

Intelligent Low-Power IoT Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans. Supported platforms include:

• Raspberry Pi 3B+/4B
• NXP i.MX8 Nano
• BrainChip Akida

CONSUMER SDK
Mobile Phone and Tablet Devices
NVISO empowers consumer electronic manufacturers to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans.

• Android Mobile and Tablets OS 9.0+
• Apple iOS for Mobile OS 13.0+
• Apple iOS for iPad OS 13.0+

HEALTHCARE SDK
Embedded High Performance Computing
NVISO provides artificial intelligence that can sense, assess and act upon human behaviour, enabling safer, more personalized, and convenient experiences for the mobility services of the tomorrow.

• NVIDIA Jetson Xavier
• NXP i.MX8 QuadMax
• Ambarella CV2x

AUTOMOTIVE SDK

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How good is this

I was thinking how good will AI be in helping people with disabilities. I watched the struggles of people with Autism struggle to understand emotions and the frustration and isolation it can create. imaging a little support piece that was coaching you on what you see to interpret emotions as you interact.

Or those that are quite sight impaired getting signals as objects come into their proximity.

Regardless of how much money brainchip will generate it will really help those that struggle to experience the world as people take for granted. I hope one day there will be preferental IP rates for projects that assist in these areas.

 

[MDhere]

Hi MD,

I posted something on Federated Learning in April leading me to question whether Fraunhofer has incorporated Akida.


View attachment 6804

Excellent Bravo, the article with google and dcm is dates 16 may 2022 so looks like we are looking PRETTY Sweet!

 

[Fact Finder]

Fraunhofer held a workshop in September 2021 where they invited guest speaker Blaise Aguera Y Arcus who leads an organisation at Google AI working on research and new products. This is the link to one of Blaise's team's public contributions on Federated Learning which shows how it all works in cartoon format and where BrainCHip's Akida might fit into the scheme of things.

Parallel, Distributed, and Federated Learning

Also when you read @Rocket577 s post of the Nviso material it is clear that they have their algorithms and AKIDA involved in Federated Learning. Why? Because they say so. Makes it easy.

A little update from the company Jerome Nadel is apparently impressed with the 1,000 Eyes. I will say no more other than he could not believe how quickly the new website and what it contains was discovered. I think next time he will be foreARMed as a result.

CONGRATULATIONS great work ahead of all the world yet again. Closest thing to being an insider trader you can get without breaking the law.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[davidfitz]

This may have already been posted but I wonder how successful last week's event was?

How many experts did they attract??

AI Expo 2022​

11th May, 2022​

Booth 7-22​

After the success of last year, NVISO will participate again in AI Expo 2022 https://www.nextech-week.jp/ Japan’s largest Artificial Intelligence exhibition attracting experts from manufacturing, retailing, communications/IT, infrastructure, and medical industries amongst others.

Along with NVISO's latest AI-based solutions using deep learning to accurately detect and predict human behaviour, we are presenting our latest port to the BrainChip Akida Platform showcasing the world’s first neuromorphic SDK for Human Behavioural AI designed for ultra-low power mass market consumer products.

NVISO's COO, Colin Mason will be at booth 7-22 along with our Japanese team. Come meet them there!

 

[Reuben]

over the last 2 weeks, has there been any presentation by Kris Carlson. If there was one - by any chance could someone please post the link Thanks.

 

[Ahboy]

This may have already been posted but I wonder how successful last week's event was?

How many experts did they attract??

AI Expo 2022​

11th May, 2022​

Booth 7-22​

After the success of last year, NVISO will participate again in AI Expo 2022 https://www.nextech-week.jp/ Japan’s largest Artificial Intelligence exhibition attracting experts from manufacturing, retailing, communications/IT, infrastructure, and medical industries amongst others.

Along with NVISO's latest AI-based solutions using deep learning to accurately detect and predict human behaviour, we are presenting our latest port to the BrainChip Akida Platform showcasing the world’s first neuromorphic SDK for Human Behavioural AI designed for ultra-low power mass market consumer products.

NVISO's COO, Colin Mason will be at booth 7-22 along with our Japanese team. Come meet them there!

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NVISO advanced emotion innovations showcased on Japanese TV - NNN (Nippon News Network)​

11th May, 2022​

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NVISO SA (NVISO), the leading Human Behavioral Analytics AI company, have showcased their AI technologies during ongoing AI Expo 2022 in Tokyo and were covered by one of the prominent Japanese television NNN. Follow the news article and watch the youtube news video.

 

[Jimmy17]

Bit of weakness in the share price this morning, its very surprising, but they seem to be working extra hard to manipulate the price down. Hold your shares comrades, remember the end result.