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With the release today of the ARM AKIDA Cortex M85 compatibility it does make clear that the ARM Brainchip partnership did not start and finish with publishing each other’s logo on their respective websites.
It is undeniable that engineers from Brainchip and ARM have been engaged on at least this project.
So the question arises. What else have they been working on together and given Edge Impulses close relationship with both ARM and Brainchip does it involve say FOMO?
By the way hopefully this kills off the idea that AKD1000 was a dud because it clearly was not.
My opinion only DYOR
FF
AKIDA BALLISTA
It is undeniable that engineers from Brainchip and ARM have been engaged on at least this project.
So the question arises. What else have they been working on together and given Edge Impulses close relationship with both ARM and Brainchip does it involve say FOMO?
By the way hopefully this kills off the idea that AKD1000 was a dud because it clearly was not.
My opinion only DYOR
FF
AKIDA BALLISTA
All these great news, but our SP is getting smashed..FFS.
equanimous
Norse clairvoyant shapeshifter goddess
It is very sad haha I thought we got a break going back to 60c...
I guess market will wait till we get contracts & revenue... I will just take the pain with hopes
Fact Finder
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Just thinking about this market share issue.
If ARM has a share of the semiconductor market and Brainchip’s technologies piggy back on ARM semiconductors, and
If SiFive has a share of the semiconductor market and Brainchip’s technologies piggy back on SiFive semiconductors, and
If Intel has a share of the semiconductor market and Brainchip’s technologies piggy back on Intel semiconductors, and
If GlobalFoundries has a share of the semiconductor market and Brainchip’s technologies piggy back on GlobalFoundries semiconductors, and
If Renesas has a share of the semiconductor market and Brainchip’s technologies piggy back on Renesas semiconductors, and
If MegaChips has a share of the semiconductor market and Brainchip’s technologies piggy back on MegaChips semiconductors, and
If Socionext has a share of the semiconductor market and Brainchip’s technologies piggy back on Socionext semiconductors, then
Is it not impossible to guess at what the market share that a ubiquitous Brainchip will be worth when these companies actually do not cover the known full extent of Brainchip’s technology engagements.
My opinion only DYOR
FF
AKIDA BALLISTA
TechGirl
Founding Member
Nice to see this achievement on the nasdaq website
MAR 6, 2023 9:00AM EST
Introduces Vision Transformers and Spatial-Temporal Convolution for radically fast, hyper-efficient and secure Edge AIoT products, untethered from the cloud
LAGUNA HILLS, CA / ACCESSWIRE / March 6, 2023 / BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of ultra-low power, fully digital, neuromorphic AI IP, today announced the second generation of its Akida™ platform that drives extremely efficient and intelligent edge devices for the Artificial Intelligence of Things (AIoT) solutions and services market that is expected to be $1T+ by 2030. This hyper-efficient yet powerful neural processing system, architected for embedded Edge AI applications, now adds efficient 8-bit processing to go with advanced capabilities such as time domain convolutions and vision transformer acceleration, for an unprecedented level of performance in sub-watt devices, taking them from perception towards cognition.
The second-generation of Akida now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions that supercharge the processing of raw time-continuous streaming data, such as video analytics, target tracking, audio classification, analysis of MRI and CT scans for vital signs prediction, and time series analytics used in forecasting, and predictive maintenance. These capabilities are critically needed in industrial, automotive, digital health, smart home and smart city applications. The TENNs allow for radically simpler implementations by consuming raw data directly from sensors - drastically reduces model size and operations performed, while maintaining very high accuracy. This can shrink design cycles and dramatically lower the cost of development.
Another addition to the second generation of Akida is Vision Transformers (ViT) acceleration, a leading edge neural network that has been shown to perform extremely well on various computer vision tasks, such as image classification, object detection, and semantic segmentation. This powerful acceleration, combined with Akida's ability to process multiple layers simultaneously and hardware support for skip connections, allows it to self-manage the execution of complex networks like RESNET-50 completely in the neural processor without CPU intervention and minimizes system load.
The Akida IP platform has a unique ability to learn on the device for continuous improvement and data-less customization that improves security and privacy. This, combined with the efficiency and performance available, enable very differentiated solutions that until now have not been possible. These include secure, small form factor devices like hearable and wearable devices, that take raw audio input, medical devices for monitoring heart and respiratory rates and other vitals that consume only microwatts of power. This can scale up to HD-resolution vision solutions delivered through high-value, battery-operated or fanless devices enabling a wide variety of applications from surveillance systems to factory management and augmented reality to scale effectively.
"We see an increasing demand for real-time, on-device, intelligence in AI applications powered by our MCUs and the need to make sensors smarter for industrial and IoT devices," said Roger Wendelken, Senior Vice President in Renesas' IoT and Infrastructure Business Unit. "We licensed Akida neural processors because of their unique neuromorphic approach to bring hyper-efficient acceleration for today's mainstream AI models at the edge. With the addition of advanced temporal convolution and vision transformers, we can see how low-power MCUs can revolutionize vision, perception, and predictive applications in wide variety of markets like industrial and consumer IoT and personalized healthcare, just to name a few."
"Advancements in AI require parallel advancements in on-device learning capabilities while simultaneously overcoming the challenges of efficiency, scalability, and latency," said Richard Wawrzyniak, principal analyst at Semico Research. "BrainChip has demonstrated the ability to create a truly intelligent edge with Akida and moves the needle even more in terms of how Edge AI solutions are developed and deployed. The benefits of on-chip AI from a performance and cost perspective are hard to deny."
"Our customers wanted us to enable expanded predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities. This new generation of Akida allows designers and developers to do things that were not possible before in a low-power edge device," said Sean Hehir, BrainChip CEO. "By inferring and learning from raw sensor data, removing the need for digital signal pre-processing, we take a substantial step toward providing a cloudless Edge AI experience."
Akida's software and tooling further simplifies the development and deployment of solutions and services with these features:
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company's first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today's workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like TensorFlow/Keras. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers' products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
BrainChip Introduces Second-Generation Akida Platform
PUBLISHEDMAR 6, 2023 9:00AM EST
Introduces Vision Transformers and Spatial-Temporal Convolution for radically fast, hyper-efficient and secure Edge AIoT products, untethered from the cloud
LAGUNA HILLS, CA / ACCESSWIRE / March 6, 2023 / BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of ultra-low power, fully digital, neuromorphic AI IP, today announced the second generation of its Akida™ platform that drives extremely efficient and intelligent edge devices for the Artificial Intelligence of Things (AIoT) solutions and services market that is expected to be $1T+ by 2030. This hyper-efficient yet powerful neural processing system, architected for embedded Edge AI applications, now adds efficient 8-bit processing to go with advanced capabilities such as time domain convolutions and vision transformer acceleration, for an unprecedented level of performance in sub-watt devices, taking them from perception towards cognition.
The second-generation of Akida now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions that supercharge the processing of raw time-continuous streaming data, such as video analytics, target tracking, audio classification, analysis of MRI and CT scans for vital signs prediction, and time series analytics used in forecasting, and predictive maintenance. These capabilities are critically needed in industrial, automotive, digital health, smart home and smart city applications. The TENNs allow for radically simpler implementations by consuming raw data directly from sensors - drastically reduces model size and operations performed, while maintaining very high accuracy. This can shrink design cycles and dramatically lower the cost of development.
Another addition to the second generation of Akida is Vision Transformers (ViT) acceleration, a leading edge neural network that has been shown to perform extremely well on various computer vision tasks, such as image classification, object detection, and semantic segmentation. This powerful acceleration, combined with Akida's ability to process multiple layers simultaneously and hardware support for skip connections, allows it to self-manage the execution of complex networks like RESNET-50 completely in the neural processor without CPU intervention and minimizes system load.
The Akida IP platform has a unique ability to learn on the device for continuous improvement and data-less customization that improves security and privacy. This, combined with the efficiency and performance available, enable very differentiated solutions that until now have not been possible. These include secure, small form factor devices like hearable and wearable devices, that take raw audio input, medical devices for monitoring heart and respiratory rates and other vitals that consume only microwatts of power. This can scale up to HD-resolution vision solutions delivered through high-value, battery-operated or fanless devices enabling a wide variety of applications from surveillance systems to factory management and augmented reality to scale effectively.
"We see an increasing demand for real-time, on-device, intelligence in AI applications powered by our MCUs and the need to make sensors smarter for industrial and IoT devices," said Roger Wendelken, Senior Vice President in Renesas' IoT and Infrastructure Business Unit. "We licensed Akida neural processors because of their unique neuromorphic approach to bring hyper-efficient acceleration for today's mainstream AI models at the edge. With the addition of advanced temporal convolution and vision transformers, we can see how low-power MCUs can revolutionize vision, perception, and predictive applications in wide variety of markets like industrial and consumer IoT and personalized healthcare, just to name a few."
"Advancements in AI require parallel advancements in on-device learning capabilities while simultaneously overcoming the challenges of efficiency, scalability, and latency," said Richard Wawrzyniak, principal analyst at Semico Research. "BrainChip has demonstrated the ability to create a truly intelligent edge with Akida and moves the needle even more in terms of how Edge AI solutions are developed and deployed. The benefits of on-chip AI from a performance and cost perspective are hard to deny."
"Our customers wanted us to enable expanded predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities. This new generation of Akida allows designers and developers to do things that were not possible before in a low-power edge device," said Sean Hehir, BrainChip CEO. "By inferring and learning from raw sensor data, removing the need for digital signal pre-processing, we take a substantial step toward providing a cloudless Edge AI experience."
Akida's software and tooling further simplifies the development and deployment of solutions and services with these features:
- An efficient runtime engine that autonomously manages model accelerations completely transparent to the developer
- MetaTF™ software that developers can use with their preferred framework, like TensorFlow/Keras, or development platform, like Edge Impulse, to easily develop, tune, and deploy AI solutions.
- Supports all types of Convolutional Neural Networks (CNN), Deep Learning Networks (DNN), Vision Transformer Networks (ViT) as well as Spiking Neural Networks (SNNs), future-proofing designs as the models get more advanced.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company's first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today's workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like TensorFlow/Keras. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers' products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
TechGirl
Founding Member
Good to see this article getting around
finance.yahoo.com
BrainChip integrates Akida with Arm Cortex-M85 Processor, Unlocking AI Capabilities for Edge Devices
BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced it has validated that its Akida™ processor family integrates with the Arm® Cortex®-M85 processor, unlocking new...
finance.yahoo.com
Fact Finder
Top 20
Thanks to Whitehorse for the light bulb moment guess which semiconductor giant would not need AKD1000 to contain an M4 processor and want the AKD1500 ???
Give you a clue it’s name has three letters.
My opinion only DYOR
FF
AKIDA BALLISTA
Give you a clue it’s name has three letters.
My opinion only DYOR
FF
AKIDA BALLISTA
GDJR69
Regular
We are pouring great announcements at the moment. The revenue will surely follow, it's just the waiting game now, and then watch out, wow! The SP will take care of itself (and us) at that point.
TechGirl
Founding Member
Steve10
Regular
Teksun as well. And the market reports only factor in known applications. There will be many new applications in future.
I read an article that mentioned going from von neumann to neuromorphic will be similar to going from morse code to telephone.
It should!! But I do feel stressed when I see red ;(We are pouring great announcements at the moment. The revenue will surely follow, it's just the waiting game now, and then watch out, wow! The SP will take care of itself (and us) at that point.
Has hit new 52 week low of 50cent ;(
Shadow59
Regular
I think a lot of people here think that this is saying that the Arm Cortex M85 comes with Akida installed.
That is not how I read it. As far as I can see the Cortex M85 is its own thing, it's just saying that Akida will work with it.
So just because Arm sell a Cortex M85, doesn't mean they will have Akida on board. - Unless I have interpreted this wrong( I am happy to be shown otherwise.)
Fact Finder
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Which people?
I understood the word compatible. Hands up those that did not.
By the way did you read the ARM article regarding Cortex M85 and the customer demand for accelerator compatibility?
My opinion only DYOR
FF
AKIDA BALLISTA
ndefries
Regular
The use cases include smart home devices, robotics and drone control, secured system controllers and sensor hubs. Partners will be able to achieve reduced cost and system complexity for high-performance systems with a single Cortex-M processor.
The question will be when a company gets the M85 would they be tempted to add in a proven enhancement for the price of a small tomato sauce sachet. I know with the above use cases if i can get more sensors and sensor fusion at low power it will be a no brainer. I will want the secret sauce all over the chip.
Fact Finder
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This is what ARM said:
"In order to serve the diverse and growing IoT market, developers require a new standard of secure, high-performance microcontrollers, combined with endpoint ML capabilities," said Paul Williamson, SVP and GM, IoT Line of Business at Arm. "The integration of Arm's highest performance microcontroller with the Akida portfolio enables our partners to deliver on this potential and efficiently handle advanced machine learning workloads.”
ARM’s opinion not mine so DYOR
FF
AKIDA BALLISTA
"In order to serve the diverse and growing IoT market, developers require a new standard of secure, high-performance microcontrollers, combined with endpoint ML capabilities," said Paul Williamson, SVP and GM, IoT Line of Business at Arm. "The integration of Arm's highest performance microcontroller with the Akida portfolio enables our partners to deliver on this potential and efficiently handle advanced machine learning workloads.”
ARM’s opinion not mine so DYOR
FF
AKIDA BALLISTA
Steve10
Regular
It will not come with Akida installed in all Cortex M85 processors. Only the applications that require AI. Akida tech has been validated to work with ARM Cortex M85 processors.
Cortex M85 processors are used for sophisticated SoC's for IoT that require M/L. It's a high performance chip for AI applications & ARM has 90% market share in IoT market. More rather than less of the Cortex M85 processors will have Akida IP given the applications will be predominantly for IoT & AI. Will be required to reduce load on CPU, speed up the process & consume less power.
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