BRN Discussion Ongoing
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Dang Son
Regular
FF-ing legend
Newk R
Regular
Great Scott!
Bravo
If ARM was an arm, BRN would be its biceps💪!
SiFive announces three RISC-V automotive processors
RISC-V is ready to power the next gen electric cars. (Image Source: SiFive)
The new E6-A, S7-A and X280-A RISC-V-based processors will be utilized by car component manufacturers like Renesas and Siemens to power safety-critical compute applications along with sensor arrays, AI-assisted driving systems and IC components used by HUDs or electrification pathways.
Bogdan Solca, 09/15/2022
...E-Mobility RISC-V
SiFive is looking to expand the utility of the RISC-V processor architecture beyond the consumer computer market and address performance and feature needs for evolving sectors including aerospace and e-mobility. The premiere RISC-V processor maker was recently selected by NASA to provide advanced compute power for upcoming space missions, and now SiFIve is launching three new automotive chips designed to power various electric car components such as the infotainment system, cockpit, connectivity, driver assistance and electrification. SiFive’s new E6-A, X280-A and S7-A processors will be used by top-tier car component suppliers like Renesas and Siemens for safety-critical compute applications.
The E6-A chip is designed for 32-bit applications controlling security modules and safety islands or it can be used to power microcontrollers. On the other hand, the S7-A is designed for 64-bit applications with low-latency interrupt support that complement the main application processor, while the X280-A is derived from the power-efficient X280 chip that will be used by NASA, which makes it a great choice to power sensor arrays and AI-assisted driving systems.
RISC-V’s ecosystem expansion will continue throughout 2023, as SiFive plans to further diversify its portfolio with high performance, out of order application CPUs, plus a complete lineup of compute IP for microcontroller and memory protection units, as well as a high performance automotive processor family.
https://www.notebookcheck.net/SiFive-announces-three-RISC-V-automotive-processors.652620.0.html
Bravo
If ARM was an arm, BRN would be its biceps💪!
X280-A...I wonder if the "A" stands for Akida?
www.reuters.com
Chip tech startup SiFive launches products aimed at automotive market
Silicon Valley startup SiFive Inc on Tuesday launched three new products aimed at the automotive market, which is emerging as one of the hottest areas for chip makers with electric and self-driving cars expected to boost the number of chips needed.
Rskiff
Regular
Thanks @Fact Finder. Then everyone hang on tightly, incoming announcement is imminent!!! burn those shorts
Newk R
Regular
Honestly, this gives me so much more of an understanding of the present dearth of announcements. Thank you for sharing.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Well, that's interesting because we know, thanks to @Fact Finder's previous discovery below, that NASA aims to increase the performance of its autonomous rovers to allow for greater speeds, up to 20km/hr, with a little help from Akida.
www.techspot.com
SiFive RISC-V cores and Microchip processors will power NASA's future space missions
NASA will soon perform a significant upgrade to the systems employed in its spaceflight computers, adopting the RISC-V architecture developed and provided under open-source licenses. NASA selected...
www.techspot.com
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uiux
Regular
Yeah
Boab
I wish I could paint like Vincent
Not sure how many of the 1000 eyes have some spare cash but the market has now turned green for BRN.
Was it @Fact Finder 's correspondence that did the trick??
Whatever it is we are all very grateful to know that FF has got our backs.
Was it @Fact Finder 's correspondence that did the trick??
Whatever it is we are all very grateful to know that FF has got our backs.
Boab
I wish I could paint like Vincent
Ok I'll be like Oliver and ask for more please.
Fullmoonfever
Top 20
@Quatrojos
You can go here for one spot to have a look at various patents and search.
Snip samples below.
This particular search was just Brainchip Inc, Peter Van Der Made and returned 23 results.
Click on the patent number (top left) and will take to the patent and can see if granted or not yet.
When in that section, can also click on Patent Family tab for additional related patents, snip also below.
Also is a doc tab can click and review / download any attached docs, snip at bottom.
There are other Patent search engines around can try that may have additional info available.
Bravo
If ARM was an arm, BRN would be its biceps💪!
You can tell us U-bby! We promise we won't tell anyone else. Pretty please with a cherry on top!
Hi Dr E,
AI problems can be solved in 2 different ways - either using huge datasets, and training a CNN on that set which will hopefully contain all the possible things you want to look for and label and this uses a lot of number crunching and the numbers need to be precise (These are the widespread uses and is why NVIDIA has the chips for this), OR
an SNN which models the problem very differently, requires less information of less accuracy, but can still be done in a silicon chip. (This is where Akida comes in).
Bravo
If ARM was an arm, BRN would be its biceps💪!
SiFive +NASA + Microchip + ARM + BrainCHip
Did you know that MicrochipTechnology has a long track record of providing radiation hardened technology, including its RT PolarFire FPGA?
DId you know Arm's CoreCortex M1 processor is a general purpose 32-bit microprocessor that offers high performance and small size in FPGAs for PolarFire?
Did you know BrainChip’s Akida IP is fully compatible with Arm’s product families?
www.militaryaerospace.com
Did you know that MicrochipTechnology has a long track record of providing radiation hardened technology, including its RT PolarFire FPGA?
DId you know Arm's CoreCortex M1 processor is a general purpose 32-bit microprocessor that offers high performance and small size in FPGAs for PolarFire?
Did you know BrainChip’s Akida IP is fully compatible with Arm’s product families?
NASA selects Microchip Technology to develop spaceflight processor
Microchip will architect, design, and deliver the HPSC processor over three years, with the goal of employing the processor on future lunar and planetary exploration missions....
D
Deleted member 118
Guest
Is this a new page on Nviso website? I think quite a bit of there website has had an update so I might have missed other stuff as well.
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.
GET OUR WHITEPAPER
UNDERSTANDING HUMANS
IN INTELLIGENT DEVICES AT SCALE
The age of autonomous machines and intelligent IoT devices is upon us. They will affect many aspects of our lives. They will bring about a new generation of diagnostic instruments to clinics, improve cars and transportation, and create new consumer experiences, while being embedded into the networks that power and inform society underpinning the efficient provision of public and private services.
Critical to their operation, will be improving the safety, security, and quality of life of humans that interact with such intelligent systems. To interact efficiently and effectively, sensing and interpreting human behaviour will become mission critical to connecting the human user with automated systems.
BUILD AI-ENABLED
HUMAN MACHINE INTERFACES
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-time perception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trusted scientific research.
NVISO's SDK's provides a robust real-time human behaviour AI API, NVISO Neuro Models™ interoperable and optimised for neuromorphic computing, the ability for flexible sensor integration and placement while delivering faster development cycles and time-to-value for software developers and integrators.
EXPLORE BY INDUSTRY SOLUTIONS
Smart Living
Smart Health
Smart Mobility
EXPLORE BY COMPUTING PLATFORMS
Neuromorphic Computing
Internet of Things
High Performance Computing
Mobile Phones
ACCURATE AND ROBUST
CNNs scale to learn from billions of examples resulting in an extraordinary capacity to learn highly complex behaviors and thousands of categories. NVISO can train powerful and highly accurate and robust models for use in the toughest environments thanks to its proprietary datasets captured in real-world environments.
EASY TO INTEGRATE
Where AI is fragmented and difficult-to-navigate at the edge, NVISO AI Apps are simple to use, develop, and deploy, with easy software portability across a variety of hardware and architectures. It reduces the high barriers-to-entry into the edge AI space through cost-effective standardized AI Apps that are future proof and work optimally at the extreme edge.
ETHICAL AND TRUSTWORTHY
AI systems need to be resilient and secure. They need to be safe, ensuring a fall back plan in case something goes wrong, as well as being accurate, reliable and reproducible. Additionally unfair bias must be avoided, as it could could have multiple negative implications. NVISO adopts Trustworthy AI frameworks and state-of-the-art policies and practices to ensure its AI Apps are "fit-for-purpose".
HUMAN BEHAVIOUR AI
FROM SENSOR TO SOLUTION
The task of understanding humans by using smart sensing has become increasingly important in modern society, given the proliferation and ubiquity of embedded sensors in a huge range of devices ranging from smartphones and smart city infrastructure to consumer IoT devices and health monitoring systems. A key to enabling the human user to connect with automated systems is artificial intelligence, which enables the plethora of sensing data to be processed in a way that gives context and meaningful insights to aid smart devices to make decisions and perform tasks.
Although there are a number of challenges in developing and integrating artificial intelligence into smart sensing and IoT applications (ranging from memory footprint and computational complexity, to privacy and robustness), the detection and understanding of human activities using artificial intelligence can be divided into three fundamental layers as described below.
SENSORS
Sensors are devices that detect and respond to changes in an environment in which humans are present. Inputs can come from a variety of sources such as light, temperature, motion and pressure (e.g. cameras, microphones, IMUs, etc) which generate data-streams that are used by data-driven and learning-based frameworks.
OBSERVSATIONS
Non-verbal “expressions” can communicate emotions faster, more subtly and more effectively than words ever can, which is why understanding non-verbal cues remains crucial for systems doing human behavioural analysis. Detectors and observations consist of reusable core signals (e.g. finding and locating a face or head in an image) around well understood human modalities.
SEMANTICS
Human behaviour signals provide important information by themselves useful for machines or computers to detect and understand humans. Additional insights however can be extracted by looking at how the core observations change over time or correlate together and can be used with context and/or application specific reasoning and semantics for industry specific solutions.
EXTREME EDGE COMPUTING
NO CLOUD REQUIRED
PRIVACY PRESERVING
By processing video and audio sensor data locally it does not have to be sent over a network to remote servers for processing. This improves data security and privacy as it can perform all processing disconnected from the central server, which is a more secure and private architecture decreasing security risks.
LOWER ENERGY USAGE
The more we move data, the more energy we use. Processing data first on-device opposed to sending it to the cloud uses a lot of less energy. As the amount and rate of data exchange with the cloud is minimised, the power consumption of the device is reduced thus improving battery lifetime, which is critical for many edge devices.
HIGHER AVAILABILITY
Decentralisation and offline capabilities make edge AI more robust since internet access is not required for processing data. This results in higher availability and reliability as weak WiFi signals do not impact the device performance.
NVISO NEURO MODELS™
EMBEDDED DEEP LEARNING
NVISO Neuro Models™ are purpose built for a new class of ultra-efficient machine learning processors designed for ultra-low power edge devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, DSP, NPU, and neuromorphic computing they reduce the high barriers-to-entry into the AI space through cost-effective standardized AI Apps which work optimally at the extreme edge (low power, on-device, without requiring an internet connection). NVISO uses low and mixed precision activations and weights data types (1 to 8-bit) combined with state-of-the-art unstructured sparsity to reduce memory bandwidth and power consumption. Proprietary compact network architectures can be fully sequential suitable for ultra-low power mixed signal inference engines and fully interoperable with both GPUs and neuromorphic processors
PROPRIETARY DATA
NVISO Neuro Models™ use proprietary datasets and modern machine learning to learn from billions of examples resulting in an extraordinary capacity to learn highly complex behaviors and thousands of categories. Thanks to high quality datasets and low-cost access to powerful computing resources, NVISO can train powerful and highly accurate deep learning models.
RUN FASTER
NVISO Neuro Models™ store their knowledge in a single network, making them easy to deploy in any environment and can adapt to the available hardware resources. There is no need to store any additional data when new data is analysed. This means that NVISO Human Behaviour AI can run on inexpensive devices with no internet connectivity providing response times in milliseconds not seconds.
RUN ANYWHERE
NVISO Neuro Models™ are scalable across heterogeneous AI hardware processors being interoperable and optimised for CPUs, GPUs, DSPs, NPUs, and the latest neuromorphic processors using in-memory computing, analog processing, and spiking neural networks. NVISO Neuro Models™ maximise hardware performance while providing seamless cross-platform support on any device.
ENABLING AI SOLUTIONS
FOR HUMAN-CENTRIC BUSINESSES
HEALTHCARE
SMART HEALTH
Modern AI can transform the healthcare industry by analyzing vast amounts of data with incredible accuracy.
HEALTHCARE
AUTOMOTIVE
SMART MOBILITY
Next generation mobility requires AI, from self-driving cars to new ways to engage customers.
AUTOMOTIVE
FINANCIAL SERVICES
SMART LIVING
Smart Living is a solution that aims to make an environment of the future that improves people’s quality of life.
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.
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.
GET OUR WHITEPAPER
UNDERSTANDING HUMANS
IN INTELLIGENT DEVICES AT SCALE
The age of autonomous machines and intelligent IoT devices is upon us. They will affect many aspects of our lives. They will bring about a new generation of diagnostic instruments to clinics, improve cars and transportation, and create new consumer experiences, while being embedded into the networks that power and inform society underpinning the efficient provision of public and private services.
Critical to their operation, will be improving the safety, security, and quality of life of humans that interact with such intelligent systems. To interact efficiently and effectively, sensing and interpreting human behaviour will become mission critical to connecting the human user with automated systems.
BUILD AI-ENABLED
HUMAN MACHINE INTERFACES
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-time perception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trusted scientific research.
NVISO's SDK's provides a robust real-time human behaviour AI API, NVISO Neuro Models™ interoperable and optimised for neuromorphic computing, the ability for flexible sensor integration and placement while delivering faster development cycles and time-to-value for software developers and integrators.
EXPLORE BY INDUSTRY SOLUTIONS
Smart Living
Smart Health
Smart Mobility
EXPLORE BY COMPUTING PLATFORMS
Neuromorphic Computing
Internet of Things
High Performance Computing
Mobile Phones
ACCURATE AND ROBUST
CNNs scale to learn from billions of examples resulting in an extraordinary capacity to learn highly complex behaviors and thousands of categories. NVISO can train powerful and highly accurate and robust models for use in the toughest environments thanks to its proprietary datasets captured in real-world environments.
EASY TO INTEGRATE
Where AI is fragmented and difficult-to-navigate at the edge, NVISO AI Apps are simple to use, develop, and deploy, with easy software portability across a variety of hardware and architectures. It reduces the high barriers-to-entry into the edge AI space through cost-effective standardized AI Apps that are future proof and work optimally at the extreme edge.
ETHICAL AND TRUSTWORTHY
AI systems need to be resilient and secure. They need to be safe, ensuring a fall back plan in case something goes wrong, as well as being accurate, reliable and reproducible. Additionally unfair bias must be avoided, as it could could have multiple negative implications. NVISO adopts Trustworthy AI frameworks and state-of-the-art policies and practices to ensure its AI Apps are "fit-for-purpose".
HUMAN BEHAVIOUR AI
FROM SENSOR TO SOLUTION
The task of understanding humans by using smart sensing has become increasingly important in modern society, given the proliferation and ubiquity of embedded sensors in a huge range of devices ranging from smartphones and smart city infrastructure to consumer IoT devices and health monitoring systems. A key to enabling the human user to connect with automated systems is artificial intelligence, which enables the plethora of sensing data to be processed in a way that gives context and meaningful insights to aid smart devices to make decisions and perform tasks.
Although there are a number of challenges in developing and integrating artificial intelligence into smart sensing and IoT applications (ranging from memory footprint and computational complexity, to privacy and robustness), the detection and understanding of human activities using artificial intelligence can be divided into three fundamental layers as described below.
SENSORS
Sensors are devices that detect and respond to changes in an environment in which humans are present. Inputs can come from a variety of sources such as light, temperature, motion and pressure (e.g. cameras, microphones, IMUs, etc) which generate data-streams that are used by data-driven and learning-based frameworks.
OBSERVSATIONS
Non-verbal “expressions” can communicate emotions faster, more subtly and more effectively than words ever can, which is why understanding non-verbal cues remains crucial for systems doing human behavioural analysis. Detectors and observations consist of reusable core signals (e.g. finding and locating a face or head in an image) around well understood human modalities.
SEMANTICS
Human behaviour signals provide important information by themselves useful for machines or computers to detect and understand humans. Additional insights however can be extracted by looking at how the core observations change over time or correlate together and can be used with context and/or application specific reasoning and semantics for industry specific solutions.
EXTREME EDGE COMPUTING
NO CLOUD REQUIRED
PRIVACY PRESERVING
By processing video and audio sensor data locally it does not have to be sent over a network to remote servers for processing. This improves data security and privacy as it can perform all processing disconnected from the central server, which is a more secure and private architecture decreasing security risks.
LOWER ENERGY USAGE
The more we move data, the more energy we use. Processing data first on-device opposed to sending it to the cloud uses a lot of less energy. As the amount and rate of data exchange with the cloud is minimised, the power consumption of the device is reduced thus improving battery lifetime, which is critical for many edge devices.
HIGHER AVAILABILITY
Decentralisation and offline capabilities make edge AI more robust since internet access is not required for processing data. This results in higher availability and reliability as weak WiFi signals do not impact the device performance.
NVISO NEURO MODELS™
EMBEDDED DEEP LEARNING
NVISO Neuro Models™ are purpose built for a new class of ultra-efficient machine learning processors designed for ultra-low power edge devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, DSP, NPU, and neuromorphic computing they reduce the high barriers-to-entry into the AI space through cost-effective standardized AI Apps which work optimally at the extreme edge (low power, on-device, without requiring an internet connection). NVISO uses low and mixed precision activations and weights data types (1 to 8-bit) combined with state-of-the-art unstructured sparsity to reduce memory bandwidth and power consumption. Proprietary compact network architectures can be fully sequential suitable for ultra-low power mixed signal inference engines and fully interoperable with both GPUs and neuromorphic processors
PROPRIETARY DATA
NVISO Neuro Models™ use proprietary datasets and modern machine learning to learn from billions of examples resulting in an extraordinary capacity to learn highly complex behaviors and thousands of categories. Thanks to high quality datasets and low-cost access to powerful computing resources, NVISO can train powerful and highly accurate deep learning models.
RUN FASTER
NVISO Neuro Models™ store their knowledge in a single network, making them easy to deploy in any environment and can adapt to the available hardware resources. There is no need to store any additional data when new data is analysed. This means that NVISO Human Behaviour AI can run on inexpensive devices with no internet connectivity providing response times in milliseconds not seconds.
RUN ANYWHERE
NVISO Neuro Models™ are scalable across heterogeneous AI hardware processors being interoperable and optimised for CPUs, GPUs, DSPs, NPUs, and the latest neuromorphic processors using in-memory computing, analog processing, and spiking neural networks. NVISO Neuro Models™ maximise hardware performance while providing seamless cross-platform support on any device.
ENABLING AI SOLUTIONS
FOR HUMAN-CENTRIC BUSINESSES
HEALTHCARE
SMART HEALTH
Modern AI can transform the healthcare industry by analyzing vast amounts of data with incredible accuracy.
HEALTHCARE
AUTOMOTIVE
SMART MOBILITY
Next generation mobility requires AI, from self-driving cars to new ways to engage customers.
AUTOMOTIVE
FINANCIAL SERVICES
SMART LIVING
Smart Living is a solution that aims to make an environment of the future that improves people’s quality of life.
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DingoBorat
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