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buena suerte :-)
BOB Bank of Brainchip
Morning Buena suerte
,The second link works but the first one is not right.
Thankyou for your efforts
Regards ,
Esq.
Fullmoonfever
Top 20
So, just having a deeper look at the recent CVEDIA partnership to try understand it a bit better.
From the release blurb, if I understand it correctly, the objective is to integrate and package CVEDIA RT & AKIDA into one deployable package on the users "chosen platform".
Happy to be corrected if I misunderstand?
Release snippets below and then something from CVEDIA website I find interesting.
I'm wondering, that if given the CVEDIA support for these various "platforms" they work with, if the package of CVEDIA & AKIDA combined will be a package that can be implemented quite easily without any additional integration or testing work?
If so, imo could open a bunch of different side doors to some specific names via the video analytics and easier training via their "synthetic data" solution if that's part of the mandate.
Thoughts?
Other source page links below.
The focus of the partnership will be on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida™ neuromorphic IP. The CVEDIA-RT platform enables rapid creation and development for video analytics for security and surveillance, transportation, ITS, and retail applications. By combining the two technologies, the companies can create and train AI models that are optimized for event-based processing and inference at the edge without relying on cloud connectivity or high-power consumption. This addresses some of the most challenging problems in edge AI, such as perception, cognition, security and privacy.
“We’re excited to partner with BrainChip to bring the benefits of CVEDIA-RT’s analytics to Akida enabled Edge AI devices enabling developers to scale much faster without needing the cloud,” said Arjan Wijnveen, CEO of CVEDIA. “Analyzing and tuning the complete solution at the edge, on the target platform that optimizes the applications and accelerates time to market, propels value added devices and services in AIoT.”
www.cvedia.com
rt.cvedia.com
CHOOSE YOUR PLATFORM
Download
Download
Download
Download
CHIPSETS
CLOUD
docs.cvedia.com
From the release blurb, if I understand it correctly, the objective is to integrate and package CVEDIA RT & AKIDA into one deployable package on the users "chosen platform".
Happy to be corrected if I misunderstand?
Release snippets below and then something from CVEDIA website I find interesting.
I'm wondering, that if given the CVEDIA support for these various "platforms" they work with, if the package of CVEDIA & AKIDA combined will be a package that can be implemented quite easily without any additional integration or testing work?
If so, imo could open a bunch of different side doors to some specific names via the video analytics and easier training via their "synthetic data" solution if that's part of the mandate.
Thoughts?
Other source page links below.
BrainChip and CVEDIA Team to Advance State-of-the-Art Edge AI and Neuromorphic Computing
BrainChip and CVEDIA Team to Advance State-of-the-Art Edge AI and Neuromorphic Computing
www.businesswire.com
The focus of the partnership will be on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida™ neuromorphic IP. The CVEDIA-RT platform enables rapid creation and development for video analytics for security and surveillance, transportation, ITS, and retail applications. By combining the two technologies, the companies can create and train AI models that are optimized for event-based processing and inference at the edge without relying on cloud connectivity or high-power consumption. This addresses some of the most challenging problems in edge AI, such as perception, cognition, security and privacy.
“We’re excited to partner with BrainChip to bring the benefits of CVEDIA-RT’s analytics to Akida enabled Edge AI devices enabling developers to scale much faster without needing the cloud,” said Arjan Wijnveen, CEO of CVEDIA. “Analyzing and tuning the complete solution at the edge, on the target platform that optimizes the applications and accelerates time to market, propels value added devices and services in AIoT.”
What is Synthetic Data | CVEDIA | AI Video Analytics for any hardware
Train computer vision models faster and more efficiently with Synthetic Data. This new AI technology uses 3D models instead of real data for training, making it a flexible and cost-effective solution. Learn about the benefits of synthetic data and how it solves the challenges of data collection...
www.cvedia.com
Synthetic data for Computer Vision.
Synthetic data is a new technology in AI that solves the problem of collecting and labeling training data for computer vision models. Synthetic data is generated or rendered using 3D models instead of collecting real data, making it a faster and more flexible solution. This data is similar to how Hollywood creates animations, and the 3D models describe the size, shape, and appearance of objects for a computer to visualize. Despite the benefits of synthetic data, there is still some debate on whether it is always better than real data and how it affects AI bias and privacy. However, synthetic data can be used to validate AI models and is a good solution to manage the cost and scale of data collection.Dashboard - CVEDIA RT Portal
| Version | 2023.3.0 |
| Date | June 02 2023 |
| Release notes | link |
Download
Download
Download
Download
CHIPSETS
CLOUD
2023.03.0 - CVEDIA-RT
Last edited:
buena suerte :-)
BOB Bank of Brainchip
No worries I'll have a look!!Morning Buena suerte
The second link works but the first one is not right.
Thankyou for your efforts
Regards ,
Esq.
buena suerte :-)
BOB Bank of Brainchip
Is this the one Esq?Morning Buena suerte
The second link works but the first one is not right.
Thankyou for your efforts
Regards ,
Esq.
Eye in the Sky
Ross McNutt and his superpower: he can zoom in on everyday life, then rewind and fast-forward to solve crimes in a shutter-flash. But should he?
Afternoon Buena suerteIs this the one Esq?
Eye in the Sky
Ross McNutt and his superpower: he can zoom in on everyday life, then rewind and fast-forward to solve crimes in a shutter-flash. But should he?radiolab.org
,No unfortunately.
RADIOLAB | Bit flip,
Series 6, Episode 8 of 8.
Was all about space particles entering our atmosphere and penitrating computer chips, and in turn flipping the tiny switches in them to give false results.
There was a section on automobils where the chips were inflicted / hit by such particles forcing the accelerator on.
Toyota had a huge liability / compensation payout as a result.
But the thing which caught my attention was , to compensate this event happening most systems required two to three chips at each critical point doing the same function .
I belive this is another application for our RAD Hardend chips , not just space & millitary applications.
I shall try and locate this article at a later date as it was very interesting and relevant to us.
Thankyou once again.
Regards,
Esq.
One day ttm, you could perhaps, take them ' Tothemoon ' in 24, now that's next year. Not long to wait.
Of course, they'd have to withstand the excessive ' G ' forces. A "G string" could possibly help in that regard, or maybe the female co-pilot ......
might assist. If you arksed her nicely.I suffer that same complaint too on occasions. It pays, not to be complaisant, when you can.
Akida ( G-FORCE ) Ballista ( to the moon ) and back hopefully.
gltah
hotty...
Hi Fmf,So, just having a deeper look at the recent CVEDIA partnership to try understand it a bit better.
From the release blurb, if I understand it correctly, the objective is to integrate and package CVEDIA RT & AKIDA into one deployable package on the users "chosen platform".
Happy to be corrected if I misunderstand?
Release snippets below and then something from CVEDIA website I find interesting.
I'm wondering, that if given the CVEDIA support for these various "platforms" they work with, if the package of CVEDIA & AKIDA combined will be a package that can be implemented quite easily without any additional integration or testing work?
If so, imo could ooen a bunch of different side doors to some specific names via the video analytics and easier training via their "synthetic data" solution if that's part of the mandate.
Thoughts?
Other source page links below.
BrainChip and CVEDIA Team to Advance State-of-the-Art Edge AI and Neuromorphic Computing
BrainChip and CVEDIA Team to Advance State-of-the-Art Edge AI and Neuromorphic Computingwww.businesswire.com
The focus of the partnership will be on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida™ neuromorphic IP. The CVEDIA-RT platform enables rapid creation and development for video analytics for security and surveillance, transportation, ITS, and retail applications. By combining the two technologies, the companies can create and train AI models that are optimized for event-based processing and inference at the edge without relying on cloud connectivity or high-power consumption. This addresses some of the most challenging problems in edge AI, such as perception, cognition, security and privacy.
“We’re excited to partner with BrainChip to bring the benefits of CVEDIA-RT’s analytics to Akida enabled Edge AI devices enabling developers to scale much faster without needing the cloud,” said Arjan Wijnveen, CEO of CVEDIA. “Analyzing and tuning the complete solution at the edge, on the target platform that optimizes the applications and accelerates time to market, propels value added devices and services in AIoT.”
What is Synthetic Data | CVEDIA | AI Video Analytics for any hardware
Train computer vision models faster and more efficiently with Synthetic Data. This new AI technology uses 3D models instead of real data for training, making it a flexible and cost-effective solution. Learn about the benefits of synthetic data and how it solves the challenges of data collection...
Synthetic data for Computer Vision.
Synthetic data is a new technology in AI that solves the problem of collecting and labeling training data for computer vision models. Synthetic data is generated or rendered using 3D models instead of collecting real data, making it a faster and more flexible solution. This data is similar to how Hollywood creates animations, and the 3D models describe the size, shape, and appearance of objects for a computer to visualize. Despite the benefits of synthetic data, there is still some debate on whether it is always better than real data and how it affects AI bias and privacy. However, synthetic data can be used to validate AI models and is a good solution to manage the cost and scale of data collection.
Dashboard - CVEDIA RT Portal
CHOOSE YOUR PLATFORM
Version 2023.3.0 Date June 02 2023 Release notes link
Download
Download
Download
Download
CHIPSETS
CLOUD
2023.03.0 - CVEDIA-RT
Cvedia have algorithms and models, which are basically software/data.
Their models could be deployed on Akida. This would require conversion to Akida-friendly format.
Remembering that Akida is processor agnostic, the algorithms could be deployed on whatever processor Akida is integrated with.
Akida needs a co-processor for configuration, the original version used an ARN cortex processor, but Akida can be used with any processor (SiFive, Intel, Nvidia, ...)
I note Cvedia list Hailo and Qualcomm as suitable processors for deploying their products. I recall seeing a figure of 2.5 W for Hailo.
buena suerte :-)
BOB Bank of Brainchip
Afternoon Buena suerte
No unfortunately.
RADIOLAB | Bit flip,
Series 6, Episode 8 of 8.
Was all about space particles entering our atmosphere and penitrating computer chips, and in turn flipping the tiny switches in them to give false results.
There was a section on automobils where the chips were inflicted / hit by such particles forcing the accelerator on.
Toyota had a huge liability / compensation payout as a result.
But the thing which caught my attention was , to compensate this event happening most systems required two to three chips at each critical point doing the same function .
I belive this is another application for our RAD Hardend chips , not just space & millitary applications.
I shall try and locate this article at a later date as it was very interesting and relevant to us.
Thankyou once again.
Regards,
Esq.
Bit Flip
What do a hacked Belgian election, a falling airplane and a fleet of runaway cars all have in common? The answer just might lie in the stars.
5 times in 48hrs.......?, good point, unless the German version is inferior initially?
Perhaps the "like" isn't in reference to drive pilot? Hard to say.
What i do know is, this is the 4th "like" by anil on this topic in the last 24hrs
Perhaps he's going for the record?.........or a complimentary car
Buena suerteBit Flip
What do a hacked Belgian election, a falling airplane and a fleet of runaway cars all have in common? The answer just might lie in the stars.radiolab.org
,BINGO.
Bloody Ledgend.
It's all a interesting listen if one has the time.
Regards,
Esq.
buena suerte :-)
BOB Bank of Brainchip
I have listened to a snippet and will listen to it in full later today.... Thanks for posting EsqBuena suerte
BINGO.
Bloody Ledgend.
It's all a interesting listen if one has the time.
Regards,
Esq.
TasTroy77
Founding Member
Imo we are at least 2 years away from being in the commercial Mercedes Benz line up integration and regulatory compliance for the automotive industry for new technology is a very long time line.
I have seen many jumping at Mercedes shadows believing it's in the current line up
We will be one day but more patience required.
Fullmoonfever
Top 20
Was just finally having a look at the new white paper from today and doing some searches on it for any reactions, reviews etc.
Interestingly, a similar topic cropped up and from none other than some friends at Carnegie Mellon, from mid 2022.
Wonder if we have been doing some background work with them in advancing this?
Temporal Event-Based Neural Networks:
A new approach to Temporal Processing
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units
Prabhu Vellaisamy1
and John Paul Shen2
Electrical and Computer Engineering
Neuromorphic Computer Architecture Lab
Carnegie Mellon University
pvellais@andrew.cmu.edu1
jpshen@cmu.edu2
Abstract—Temporal Neural Networks (TNNs) are spiking neural networks that exhibit brain-like sensory processing with high energy efficiency. This work presents
the ongoing research towards developing a custom design framework for designing efficient application-specific TNN based Neuromorphic Sensory Processing Units (NSPUs).
This paper examines previous works on NSPU designs for UCR time-series clustering and MNIST image classification applications. Current ideas for a custom design framework and tools that enable efficient software-to-hardware design flow for rapid design space exploration of application specific NSPUs while leveraging EDA tools to obtain post layout netlist and power performance area (PPA) metrics are described. Future research directions are also outlined
Original paper HERE
Interestingly, a similar topic cropped up and from none other than some friends at Carnegie Mellon, from mid 2022.
Wonder if we have been doing some background work with them in advancing this?
Temporal Event-Based Neural Networks:
A new approach to Temporal Processing
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units
Prabhu Vellaisamy1
and John Paul Shen2
Electrical and Computer Engineering
Neuromorphic Computer Architecture Lab
Carnegie Mellon University
pvellais@andrew.cmu.edu1
jpshen@cmu.edu2
Abstract—Temporal Neural Networks (TNNs) are spiking neural networks that exhibit brain-like sensory processing with high energy efficiency. This work presents
the ongoing research towards developing a custom design framework for designing efficient application-specific TNN based Neuromorphic Sensory Processing Units (NSPUs).
This paper examines previous works on NSPU designs for UCR time-series clustering and MNIST image classification applications. Current ideas for a custom design framework and tools that enable efficient software-to-hardware design flow for rapid design space exploration of application specific NSPUs while leveraging EDA tools to obtain post layout netlist and power performance area (PPA) metrics are described. Future research directions are also outlined
Original paper HERE
alwaysgreen
Top 20
Ms Pia Turcinov appointed Member of the Order for significant service to technology and innovation, and to women in STEM. She has been Women in Technology Western Australia (WITWA) Ambassador since 2020 and is a Council member of Edith Cowan University in Western Australia. She is Non-Executive Director of semiconductor technology company BrainChip Holdings Limited and Chair, Industry Advisory Board, Western Australia Cyber Security Innovation Hub.
Hi Tas,
So you don't think Akida is incorporated in Scala 3?
https://www.valeo.com/en/valeo-scala-lidar/
Valeo’s third-generation laser LiDAR technology, which is scheduled to hit the market in 2024, will take autonomous driving even further, making it possible to delegate driving to the vehicle in many situations, including at speeds of up to 130 km/h on the highway.
We announced a joint development with Valeo in June 2020:
https://smallcaps.com.au/brainchip-joint-development-agreement-akida-neuromorphic-chip-valeo/
Artificial intelligence device company BrainChip Holdings (ASX: BRN) has taken an affirmative step towards integrating its Akida neuromorphic chip into autonomous vehicles after signing a binding joint development agreement with European automotive supplier Valeo Corporation.
The agreement means both companies will collaborate to develop a new wave of tech solutions based on artificial intelligence (AI) and reduced power consumption within the overarching theme of miniaturisation that’s taking the tech industry by storm.
Akida has a sweet spot for lidar.
The 2024 Mercedes is due out later this year. I'm hopeful that it will include Scala 3 with Akida.
Scala 2, which has achieved level 3 autonomous driving qualification, is limited to 60 kph, while Scala 3 can handle 130 kph.
INNOVATION / PRODUCTS & TECHNOLOGY | 22 MAR, 2022
https://www.valeo.com/en/valeos-lid...mercedes-benz-drive-pilot-sae-level-3-system/
Valeo SCALA® 2, Valeo's second generation LiDAR, plays an important role in Mercedes-Benz DRIVE PILOT system for conditionally automated driving (SAE-Level 3), allowing the driver to delegate under certain conditions the driving task to the car in complete safety.
The new Mercedes-Benz S-Class is the first car in the world to be equipped with this Valeo technology.
In December 2021, Mercedes-Benz received the world’s first internationally valid system approval for conditionally automated driving (SAE-Level 3), meeting the demanding legal requirements of UN-R157 for such a system. If the particular national legislation allows it, DRIVE PILOT is able to operate in conditionally automated driving mode at speeds of up to 60 km/h, in heavy traffic or congested situations and on suitable stretches of motorway. DRIVE PILOT will be available in Germany in the first half of 2022. The next step is clear: the car manufacturer plans to apply for regulatory approval in California and Nevada in 2022.
Tothemoon24
Top 20
Lockheed Martin and GlobalFoundries Collaborate to Advance Innovation and Resiliency of Chips for National Security
June 12, 2023Collaboration will boost U.S. semiconductor supply chain
for mission-critical security systems, in support of the CHIPS and Science Act
MALTA, N.Y., June 12, 2023 — Lockheed Martin (NYSE: LMT) and GlobalFoundries (Nasdaq: GFS) (GF) today announced a strategic collaboration to advance U.S. semiconductor manufacturing and innovation and to increase the security, reliability and resiliency of domestic supply chains for national security systems. This collaboration will enable Lockheed Martin to more quickly and affordably produce secure solutions that increase the competitiveness and national security of the United States. The announcement was made today at GF’s advanced manufacturing facility in upstate New York with U.S. Senate Majority Leader Charles Schumer, Lockheed Martin Chairman, President and CEO Jim Taiclet and GF President and CEO Dr. Thomas Caulfield.
The companies will leverage GF’s differentiated technology and trusted manufacturing practices to increase anti-fragility in microelectronics systems and supply chains. The collaboration will explore critical needs in semiconductor innovation and secure manufacturing across a range of advanced and next-generation chip technologies, including 3D heterogeneous integration for optimized chip packaging that improves performance; silicon photonics for low-power and high-speed data transport; and gallium nitride on silicon to help chips work at higher temperatures. The companies will also work to develop a chiplet ecosystem to produce chips more rapidly and affordably.
The collaboration between Lockheed Martin and GF directly supports the CHIPS and Science Act’s objectives of increasing traceability, provenance, and onshore production of critical semiconductor technologies to strengthen national and economic security and domestic supply chains.
“This major new partnership between GlobalFoundries and Lockheed Martin brings together two giants of Upstate NY industry to ensure that the chips used in the technology that keep our country and our troops safe are made right here in the Capital Region. That means that more of the most complex, critical components we need to protect our national security going forward are going to be stamped ‘Made in New York’,” said Senator Schumer. “I wrote my CHIPS & Science Act to spark partnerships like this that will secure our domestic supply chains and lead to job growth and investment in places like Upstate New York. Now more than ever, we need to secure our supply chains, and make sure the chips that our military relies on are built in places like the Capital Region, not overseas, and GlobalFoundries and Lockheed Martin are leading the charge to ensure that we build America’s tech future here in Upstate NY.”
“Lockheed Martin is focused on delivering cutting-edge 21st Century Security capabilities that advance deterrence and keep our customers ahead of emerging threats,” said Jim Taiclet, chairman, president and CEO of Lockheed Martin. “This begins with securely manufactured semiconductors. We look forward to working with GlobalFoundries to help increase access to domestically produced microelectronics – a true national security imperative.”
“The GF team has been a trusted partner of the U.S. government and the aerospace and defense industry for decades,” said Dr. Thomas Caulfield, president and CEO of GF. “We are proud to collaborate with Lockheed Martin to address the growing need for a reliable supply of trusted, feature-rich semiconductors for mission-critical security systems. Today’s announcement is another example of GF’s commitment to innovation, our global manufacturing footprint, and enabling a more resilient semiconductor supply chain in the U.S. and abroad.”
GF’s manufacturing facilities in New York and Vermont have Trusted accreditation from the U.S. government and are authorized to produce secure chips for use in the nation’s most sensitive systems on land, air, sea, and in space.
Both companies are committed to helping strengthen the supply chain for semiconductors used in critical defense systems. To further advance this shared goal, Lockheed Martin and GF will jointly pursue external funding opportunities, technology development, and collaboration with the U.S. government.
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