BRN Discussion Ongoing

Hi Fmf,

I didn't find any NN related patents for icatch.

The V57 is an Image Signal processor which includes an NN core:

View attachment 24378



A group of CV engines which comprise of an optical flow processing (OPF) accelerator, matrix arithmetic engine (MAE) with DSP functions and high-performance NPU engine, can manipulate the image and video data in real-time to support edge computing and intelligent processing, such as pedestrian detection, vechicle detection, distance extraction, behavior recognition, gesture recognition, or even action recognition, and much more. The embedded USB3.2 Gen1 device interface and support ultra high-speed and high-resolution video data transfer.



2.3. Image process acceleration engine

 Matrix operation engines

 Scaling up/down engine

 De-warping engine for lens distortion correction (LDC) and multi[1]view affine transformation

 Motion detection engine

 HW accelerated optical flow engine for DVS sensor applications

 Pre/Post processing for NPU acceleration



2.5. Neural network accelerator

 High performance 1.2 TOPS NPU engine

Supports weight/bias quantization using UINT8, INT8, INT16,

Float16, BFloat16 and Post-training quantization

 MAE engine – pre/post DSP accelerator



It does not include SNN.

It would be a case of either/or as far as the iCatch NN is concerned.

They would have been working with Prophesee for some time


https://www.prophesee.ai/2022/04/19/icatch-prophesee-collaboration-ai-vision-processor/

iCatch and Prophesee collaborated on development of AI vision processor natively compatible with Prophesee Event-based Metavision® sensing technologies.​


iCatch Technology (iCatch) has focused on image signal processing (ISP) technology and Camera SOC for over two decades and aggressively invested in research and development in more machine learning (ML) related technology and application.

Now iCatch has collaborated with Prophesee on Event-based Metavision sensing projects that integrated iCatch’s V57 AI vision processor with the new Sony Semiconductor Solutions (“SSS”) stacked Event-based Vision Sensor IMX636, realized in collaboration between SSS and Prophesee.
iCatch built the OpenMVCam development platform for all algorithm partners and ODM customers to design a variety of AI products, systems and applications on many market segments like surveillance, smart healthcare, in-cabin monitor system, smart home, industrial automation, smart city and so on.

iCatch also provides a high customized service and an excellent image quality system to become the eyes of all of machine vision equipment and smart devices in the future.

SSS’s Event-based Vision Sensor can be the input source for iCatch AI vision processor, based on iCatch built-in NPU acceleration engine and proprietary CV processing hardware engine. It can integrate Prophesee Metavision Intelligence SDK and other 3rd party’s machine vision algorithms to support end customers’ AI vision applications such as DMS and OMS in automotive in-cabin, patient/elder fall detection in home healthcare and hospitals, intruder detection in home surveillance, anomaly detection in industrial automation, gesture control in smart home appliance, eye tracking in AR/VR and so on
.

So it looks like you have found the missing link in the Sony/Prophesee/? triangle.

But it was after this that Prophesee confessed its undying love for Akida. So, as I speculated when the Sony/Prophesee collaboration was announced, unfortunately they are probably contractually bound to iCatch for the first born.

So, as someone speculated above, was the Apple CEO inspecting iCatch's offspring, or was there a newer and better love child in the cradle?

You've got to ask yourself one question - would Sony or Prophesee be happy showing off an inferior solution?
Just found these earlier references and distribution partner. No mention of iCatch?

From


Linked to here



IMX636 and IMX637 event-based vision
29 November 2021

Macnica ATD Europe today announced to offer the Event-based vision sensor (“EVS”) from its long-term distribution partner, Sony Semiconductor Solutions Corporation (“Sony”). The two sensors IMX636 and IMX637 were made possible through collaboration between Sony and Prophesee, another distribution partner of Macnica ATD Europe.

EVS realizes high-speed data output with low latency by limiting the output data to luminance changes from each pixel, combined with information on pixel position coordinates and time. Only the pixels that have detected a change in luminance for the object can output data, allowing the sensor to immediately detect the luminance changes with high-speed, low-latency, high-temporal-resolution while operating with low power consumption. It represents a whole new approach compared to the commonly used frame-based method, where the entire image is output at certain intervals determined by the frame rate.

Application fields where the two new models of EVS specifically exploit their advantages over frame-based sensors are for example sensing changes in sparks produced during welding and metal cutting; and sensing slight changes in vibration and detecting abnormalities for use in predictive maintenance.

Macnica ATD Europe as a prime distribution partner of both Sony and Prophesee covers the full cooperation on the EVS technology and offers technical support as well as the free loan of evaluation kits in different versions from first “hands on” evaluation to full performance evaluation (available in Q4). The cooperation also covers the Metavision® Intelligence Suite from Prophesee, an event signal processing software optimized for the sensors performance, which is available through Macnica ATD Europe. Combining Sony’s event-based vision sensors with this software will enable efficient application development and provide solutions for various use cases.

To here


Partners

 
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@Diogenese

Maybe the answer.

In 2020 started using VeriSilicon NPU for their latest V37 at the time.

Would presume has just been iterations of same since.

Haven't looked into the VeriSilicon capabilities yet. Time for 💤



VeriSilicon VIP9000 and ZSP are Adopted by iCatch Next Generation AI-powered Automotive Image Processing SoC

Shanghai, China, May 12, 2020 – VeriSilicon today announced that iCatch Technology, Inc. (TPEX: 6695), a global leader in low-power and intelligent image processing SoC solutions, has selected VeriSilicon VIP9000 NPU and ZSPNano DSP IP. Both will be utilized in the iCatch’s next generation AI-powered image processing SoC with embedded neural network accelerators powered by VeriSilicon’s NPU for applications such as automotive electronics, industrial, appliance, consumer electronics, AIoT, smart home, commercial and more.

VIP9000 is a highly scalable and programmable processor IP for computer vision and artificial intelligence applications and with support for all popular deep learning frameworks (TensorFlow, Pytorch, TensorFlow Lite, Caffe, Caffe2, DarkNet, ONNX, NNEF, Keras…), as well as OpenCLTM and OpenVXTM APIs. Neural network optimization techniques such as quantization, pruning, and model compression are also supported natively by VIP9000 architecture. AI applications can be easily ported to VIP9000 platforms through offline conversion by the Vivante AcuityTM SDK, or through run-time interpretation with Android NN, NN API, or ARM NN. The ZSPNano DSP provides complete programmability, industry leading power efficiency with a robust and mature SDK, enabling iCatch to extend audio and voice software applications smoothly including Acoustic Echo Cancelation (AEC), Noise Suppression and Beam Forming.

“By incorporating VeriSilicon key IP capabilities, our V37, the latest generation AI-powered image processing SoC for 4K video, can empower the edge computing capability right on the camera. Together with the embedded iCatch’s high quality image signal processing (ISP) engine and proprietary CV accelerator engine, we can drive the VeriSilicon NPU engine to the best TOPS/W performance. As a result, our AI-powered image processing SoCs not only can record high-quality video, but also perform advanced image analytics to bring intelligence to the camera devices. We successfully applied our AI-powered image processing SoCs into various applications.” said Weber Hsu, President of iCatch Technology, Inc.

“Edge AI computing has been applied in a wide range of market segments including consumer, industrial and automotive devices, especially in computer vision related applications. Image processors with built-in AI NPU have great growth momentum,” said Weijin Dai, Executive Vice President and GM of Intellectual Property Division at VeriSilicon.

“Smart eye and smart ear are essential for all the intelligent edge devices. The challenge is how to deliver the intelligence efficiently within the target product power envelope and silicon budget,” added Weijin Dai. “As a leading company in image processing, iCatch will greatly leverage our NPU and DSP in advanced solutions to perfectly address the enormous market needs. With VIP9000 and ZSPNano, iCatch’s image processing SoCs deliver advanced AI-Vision and AI-Voice capabilities at the lowest power consumptions.”
 
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Sirod69

bavarian girl ;-)
BrainChip
BrainChip7.968 Follower:innen
7 Min. • vor 7 Minuten

Meet with BrainChip at CES- Click the link here to set up a time to talk to the team - https://brainchip.com/
1671045729298.png
 
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alwaysgreen

Top 20
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CDFC8EE4-9CBF-42C0-B4B1-467730B8533D.jpeg
 
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alwaysgreen

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Deadpool

hyper-efficient Ai

The fool is at it again Mickleboro just can't be humble in his defeat.

"The jury is still out on whether Brainchip will ever successfully commercialise its technology". What a 🐓head


Onwards and upwards Brainchip
 
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May be of interest:





“Our final webinar of the year in the AI Hardware Summit series takes place next Tuesday (Dec 20) from 10am PT, and will be hosted by the Senior Manager, Applications Engineering and Senior ASIC Digital Design Engineer at Synopsys.



Register for free here


This webinar will introduce the Synopsys ARC® NPX Neural Processing Unit (NPU) IP family of embedded AI processors and use of Synopsys VC Formal DPV to verify its datapath functions.


Full webinar abstract and free registration here!
 
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May be of interest:





“Our final webinar of the year in the AI Hardware Summit series takes place next Tuesday (Dec 20) from 10am PT, and will be hosted by the Senior Manager, Applications Engineering and Senior ASIC Digital Design Engineer at Synopsys.



Register for free here


This webinar will introduce the Synopsys ARC® NPX Neural Processing Unit (NPU) IP family of embedded AI processors and use of Synopsys VC Formal DPV to verify its datapath functions.


Full webinar abstract and free registration here!
A bit more information:

Summary
For over a decade, CPU and GPU design companies have been using Synopsys VC Formal Datapath Validation (DPV) app with its HECTOR™ technology to verify their data processing elements because traditional verification methods cannot exhaustively verify the correctness of mathematical computations in these designs. Like CPUs and GPUs, AI processors are also datapath heavy with mathematical functions like addition, subtraction, matrix multiplication, and square root in its compute engines, making these designs a good fit for formal datapath validation.
This webinar will introduce the Synopsys ARC® NPX Neural Processing Unit (NPU) IP family of embedded AI processors and use of Synopsys VC Formal DPV to verify its datapath functions. The Synopsys ARC NPX6 processor supports the latest and most complex neural networks, such as CNN, RNN, and transformers, targeted for AI SoCs that are widely used in automotive, data center, high end gaming, next generation augmented reality, and surveillance. At the heart of the NPX6 neural network processor are convolution and tensor accelerators that are optimized to perform light speed computations. Correctness of these functional units are key to correct facial, audio, image processing and recognition which could have safety implications for automotive applications. We will explore Synopsys VC Formal DPV, the gold standard for datapath validation and signoff for the last 20 years, and how it is used to ensure correctness of the core algorithms of the ARC NPX6 processor’s compute engines.

Speakers
Neelabja Dutta

Neelabja Dutta
Sr. Manager, Applications Engineering
Synopsys

Shuaiyu Jiang

Shuaiyu Jiang
Sr. ASIC Digital Design Engineer
Synopsys

Long term holders of Brainchip shares will know that Vorago in the Phase 1 NASA application to harden AKD1000 described it as a CNNRNN processor.

My interest only so DYOR
FF

AKIDA BALLISTA
 
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charles2

Regular

The fool is at it again Mickleboro just can't be humble in his defeat.

"The jury is still out on whether Brainchip will ever successfully commercialise its technology". What a 🐓head


Onwards and upwards Brainchip
MF

Difficult to argue with this paragraph

"But given this alliance, other recent agreements, management’s bullish rhetoric, and its lofty market capitalisation, the market will no doubt be expecting Brainchip to start delivering some very big sales in 2023."

And it provides BRN.AX some exposure to generate investor interest.
OK admittedly trying to put some lipstick on the pig.
 
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FJ-215

Regular
Hmmmm… I think it’s a given that revenue is the kind of performance we are all expecting. Three years into commercialisation, and a year into his role of CEO - Sean and the board know what shareholders expect very well, and a few partnerships wouldn’t cut the mustard in my opinion.

That being said, I remain optimistic and excited to see what he is to be judged by. I think 2023 could be a fantastic year for this company.
Spot on.

Sean said as much himself when he said "Watch the financials"
 
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MF

Difficult to argue with this paragraph

"But given this alliance, other recent agreements, management’s bullish rhetoric, and its lofty market capitalisation, the market will no doubt be expecting Brainchip to start delivering some very big sales in 2023."
Unfortunately for Micklepickle both the Prosecutor and the Counsel for the Defence objected when his name was called and so the Judge excluded him from jury duty stating thank you gentlemen had you not excluded him I would have as it is clear from his previously published statements he is entirely biased and his ability to independently weigh the evidence is on its face non existent.

As a result anything Mr. Micklepickle thinks is irrelevant and to be ignored.

The Judge further remarked that any true investigative financial journalist would have contacted Intel directly rather than rely upon plagiarising a Press Release from Brainchip and on its face doing absolutely no actual research.

The Judge further stated there is clearly no forensic value in this article as it is simply an unverifiable personal opinion piece riddled with pre-existing negative bias.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Foxdog

Regular
Yep, so if we have big sales in 2023 will Kockleboro back off and concede that he was wrong about BRN and that he and his MF mates missed out on a massive investment opportunity?
 
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A bit more information:

Summary
For over a decade, CPU and GPU design companies have been using Synopsys VC Formal Datapath Validation (DPV) app with its HECTOR™ technology to verify their data processing elements because traditional verification methods cannot exhaustively verify the correctness of mathematical computations in these designs. Like CPUs and GPUs, AI processors are also datapath heavy with mathematical functions like addition, subtraction, matrix multiplication, and square root in its compute engines, making these designs a good fit for formal datapath validation.
This webinar will introduce the Synopsys ARC® NPX Neural Processing Unit (NPU) IP family of embedded AI processors and use of Synopsys VC Formal DPV to verify its datapath functions. The Synopsys ARC NPX6 processor supports the latest and most complex neural networks, such as CNN, RNN, and transformers, targeted for AI SoCs that are widely used in automotive, data center, high end gaming, next generation augmented reality, and surveillance. At the heart of the NPX6 neural network processor are convolution and tensor accelerators that are optimized to perform light speed computations. Correctness of these functional units are key to correct facial, audio, image processing and recognition which could have safety implications for automotive applications. We will explore Synopsys VC Formal DPV, the gold standard for datapath validation and signoff for the last 20 years, and how it is used to ensure correctness of the core algorithms of the ARC NPX6 processor’s compute engines.

Speakers
Neelabja Dutta

Neelabja Dutta
Sr. Manager, Applications Engineering
Synopsys

Shuaiyu Jiang

Shuaiyu Jiang
Sr. ASIC Digital Design Engineer
Synopsys

Long term holders of Brainchip shares will know that Vorago in the Phase 1 NASA application to harden AKD1000 described it as a CNNRNN processor.

My interest only so DYOR
FF

AKIDA BALLISTA
FF, and the "science fiction" continues ' to perform light speed computations.'
Onward and upward.
Buzz Akida:geek:
 
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alwaysgreen

Top 20
Unfortunately for Micklepickle both the Prosecutor and the Counsel for the Defence objected when his name was called and so the Judge excluded him from jury duty stating thank you gentlemen had you not excluded him I would have as it is clear from his previously published statements he is entirely biased and his ability to independently weigh the evidence is on its face non existent.

As a result anything Mr. Micklepickle thinks is irrelevant and to be ignored.

The Judge further remarked that any true investigative financial journalist would have contacted Intel directly rather than rely upon plagiarising a Press Release from Brainchip and on its face doing absolutely no actual research.

The Judge further stated there is clearly no forensic value in this article as it is simply an unverifiable personal opinion piece riddled with pre-existing negative bias.

My opinion only DYOR
FF

AKIDA BALLISTA
You're too kind. My name for him is Dickleboro.
 
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wilzy123

Founding Member
Looks like another day of BS trading is on the cards
1671053997428.png
 
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You're too kind. My name for him is Dickleboro.
What I left out was that his colleague Icklepickle was also excluded as “there is no place on this jury panel for fools”.😂🤡🤣😂🤣
 
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Lastly before I turn the meeting back over to Antonio, let me briefly recap.
It’s been nearly a half year of building a commercial engine that is just now starting to reveal its possibility.

Key priorities and initiatives include:
• Structuring Commercialization.
• Understanding our Market Ecosystem.
• Clarifying our Business Model.
• Ensuring Product-Market Fit.
• Focusing on Marketing.
• Expanding Sales.

Our work on the commercialization leg of the stool has made substantial progress but it is a journey of continuing improvement.

But when you couple this commercial engine with our differentiated IP product, delivering proven and an exponential improvement on anything else available, plus a market which is moving to the edge, I am highly confident that the commercial results will come in a steady and sustainable fashion.

Even with all this hard work on commercialization in the last 5 months, the company and myself should be judged not on effort, but results.

With that said, I look forward to standing before you next year to share all the progress and results from this next critical chapter of BrainChip’s commercialization.
Thank you.”
- END -

The above is exactly what the CEO Sean Hehir said and it most definitely is not saying that income in the 4C’s is the benchmark by which to judge the company and the CEO. It is far more than this it is about building a company that will be ubiquitous and at the forefront of technological advancement across the entire semiconductor industry.

It is about partnerships, ecosystems, employing super star employees and a technology North Star over in Perth creating science fiction as it advances towards Artificial General Intelligence.

The fact that Brainchip is an IP company means that it’s true financial wealth will be generated off the back of the Magic Pudding known as ROYALTIES being paid in perpetuity.

Royalties are paid on the product containing Brainchip IP being produced and sold in the retail market.

I have exampled how Prophesee and Sony have been engaged for three years and have only just announced that they are going into mass production.

If anyone is going to judge a company like Brainchip solely by income in a 4C then they would never have invested in companies like Tesla, Apple, Intel, Facebook or Google.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Quatrojos

Regular
Lastly before I turn the meeting back over to Antonio, let me briefly recap.
It’s been nearly a half year of building a commercial engine that is just now starting to reveal its possibility.

Key priorities and initiatives include:
• Structuring Commercialization.
• Understanding our Market Ecosystem.
• Clarifying our Business Model.
• Ensuring Product-Market Fit.
• Focusing on Marketing.
• Expanding Sales.

Our work on the commercialization leg of the stool has made substantial progress but it is a journey of continuing improvement.

But when you couple this commercial engine with our differentiated IP product, delivering proven and an exponential improvement on anything else available, plus a market which is moving to the edge, I am highly confident that the commercial results will come in a steady and sustainable fashion.

Even with all this hard work on commercialization in the last 5 months, the company and myself should be judged not on effort, but results.

With that said, I look forward to standing before you next year to share all the progress and results from this next critical chapter of BrainChip’s commercialization.
Thank you.”
- END -

The above is exactly what the CEO Sean Hehir said and it most definitely is not saying that income in the 4C’s is the benchmark by which to judge the company and the CEO. It is far more than this it is about building a company that will be ubiquitous and at the forefront of technological advancement across the entire semiconductor industry.

It is about partnerships, ecosystems, employing super star employees and a technology North Star over in Perth creating science fiction as it advances towards Artificial General Intelligence.

The fact that Brainchip is an IP company means that it’s true financial wealth will be generated off the back of the Magic Pudding known as ROYALTIES being paid in perpetuity.

Royalties are paid on the product containing Brainchip IP being produced and sold in the retail market.

I have examples how Prophesee and Sony have been engaged for three years and have only just announced that they are going into mass production.

If anyone is going to judge a company like Brainchip solely by income in a 4C then they would never have invested in companies like Tesla, Apple, Intel, Facebook or Google.

My opinion only DYOR
FF

AKIDA BALLISTA
'Royalties are paid on the product containing Brainchip IP being produced and sold in the retail market.'

Are royalties generally paid at point of production or point of sale?

High School GIF
 
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buena suerte :-)

BOB Bank of Brainchip
A little reminder of our news letter back in September 2020

"Long term holders of Brainchip shares will know that Vorago in the Phase 1 NASA application to harden AKD1000 described it as a CNNRNN processor." (FF)


BrainChip and VORAGO Technologies Agree to Collaborate through the Akida™ Early Access Program​

Agreement to Support Phase I of NASA Program for Radiation-Hardened Neuromorphic Processor

Aliso Viejo, California – September 2, 2020BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance AI technology, today announced that VORAGO Technologies has signed the Akida™ Early Access Program Agreement. The collaboration is intended to support a Phase I NASA program for a neuromorphic processor that meets spaceflight requirements. The BrainChip Early Access Program is available to a select group of customers that require early access to the Akida device, evaluation boards and dedicated support. The EAP agreement includes payments that are intended to offset the Company’s expenses to support partner needs.

The Akida neuromorphic processor is uniquely suited for spaceflight and aerospace applications. The device is a complete neural processor and does not require an external CPU, memory or Deep Learning Accelerator (DLA). Reducing component count, size and power consumption are paramount concerns in spaceflight and aerospace applications. The level of integration and ultra-low power performance of Akida supports these critical criteria. Additionally, Akida provides incremental learning. With incremental learning, new classifiers can be added to the network without retraining the entire network. The benefit in spaceflight and aerospace applications is significant as real-time local incremental learning allows continuous operation when new discoveries or circumstances occur.

VORAGO Technologies is a privately held, high technology company based in Austin, Texas with over 15 years of experience in providing radiation-hardened and extreme-temperature solutions for the Hi-reliability marketplace, and recognized as one of Inc 5000’s Fastest Growing Private Companies in America. VORAGO’s patented HARDSIL® technology uses cost-effective high-volume manufacturing to harden any commercially designed semiconductor component for extreme environment operation, and has created a number of solutions throughout Aerospace, Defense and Industrial applications. VORAGO Technologies opens up a new world of possibilities for customer designs, no matter how hostile the environment. www.voragotech.com

Louis DiNardo, BrainChip CEO commented, “We are both excited and proud to participate in this Phase I program with VORAGO Technologies and support NASA’s desire to leverage neuromorphic computing in spaceflight applications. The combination of benefits from the Akida neuromorphic processor and a radiation-hardened process brings significant new capabilities to spaceflight and aerospace applications”.

Bernd Lienhard, VORAGO CEO added, “We are thrilled and honored to partner with BrainChip to harness the radiation hardening capabilities of our patented HARDSIL® technology for the Phase I program with NASA. Our ongoing mission of creating components with increased availability and unmatched solutions in aerospace and defense applications paired with the Akida neuromorphic processor will create unprecedented standards moving forward in the industry.”







A bit more information:

Summary
For over a decade, CPU and GPU design companies have been using Synopsys VC Formal Datapath Validation (DPV) app with its HECTOR™ technology to verify their data processing elements because traditional verification methods cannot exhaustively verify the correctness of mathematical computations in these designs. Like CPUs and GPUs, AI processors are also datapath heavy with mathematical functions like addition, subtraction, matrix multiplication, and square root in its compute engines, making these designs a good fit for formal datapath validation.
This webinar will introduce the Synopsys ARC® NPX Neural Processing Unit (NPU) IP family of embedded AI processors and use of Synopsys VC Formal DPV to verify its datapath functions. The Synopsys ARC NPX6 processor supports the latest and most complex neural networks, such as CNN, RNN, and transformers, targeted for AI SoCs that are widely used in automotive, data center, high end gaming, next generation augmented reality, and surveillance. At the heart of the NPX6 neural network processor are convolution and tensor accelerators that are optimized to perform light speed computations. Correctness of these functional units are key to correct facial, audio, image processing and recognition which could have safety implications for automotive applications. We will explore Synopsys VC Formal DPV, the gold standard for datapath validation and signoff for the last 20 years, and how it is used to ensure correctness of the core algorithms of the ARC NPX6 processor’s compute engines.

Speakers
Neelabja Dutta

Neelabja Dutta
Sr. Manager, Applications Engineering
Synopsys

Shuaiyu Jiang

Shuaiyu Jiang
Sr. ASIC Digital Design Engineer
Synopsys

Long term holders of Brainchip shares will know that Vorago in the Phase 1 NASA application to harden AKD1000 described it as a CNNRNN processor.

My interest only so DYOR
FF

AKIDA BALLISTA
 
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