Bravo
If ARM was an arm, BRN would be its biceps💪!
An older article but a worthwhile reminder. I gather the big step he's referring to is launching their MMA platform in 2025 which will feature the first official MB.OS version?
BRN Discussion Ongoing
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Fullmoonfever
Top 20
Just on Intel NPU, I was reading this (excerpt below) article from their community pages and if I understand correctly they don't involve Akida or neuromorphic as far as I can see.
Datapath and Register File Circuit Technologies in Neural Processing Unit
The Intel Core Ultra NPU incorporates floating-point dot product datapath circuits based on research from Intel Labs. Machine learning workloads use deep neural networks with matrix multiplication and convolution as the key power and performance limiting operations. Multiple techniques, including fused multiply-accumulate with global alignment and entering a fixed-point adder tree, provide up to 10% area reduction and 30% power reduction for the NPU when compared to previous designs. Further optimizations such as local product alignment and speculative OR-tree based maximum exponent further improve circuit delay. Using some of the techniques based on research described in Optimized Fused Floating-Point Many-Term Dot-Product Hardware for Machine Learning Accelerators, the Intel Labs team worked jointly with the NPU team to evaluate and implement these improvements in the Meteor Lake NPU.
Data flow optimization is key to improving the energy-efficiency of the NPU. Data movement energy can dominate overall chip power consumption but can be mitigated by temporal and spatial reuse with smaller, local memories versus larger, more expensive levels of static random-access memory (SRAM). Therefore, an efficient design of these local register files is extremely important to reduce the data movement power. Within a processing element (PE) of the NPU, there are three types of small local register files with a varying number of ports, sizes, and banks that store input activations, weights, and output features. Cumulatively, this local register file power can account for a significant amount of PE power. Motivated by low-power synthesizable register files research originating from Intel Labs and described in 2.4GHz, Double-Buffered, 4kb Standard-Cell-Based Register File with Low-Power Mixed-Frequency Clocking for Machine Learning Accelerators, the Intel Labs team worked jointly with the NPU team to incorporate key circuit techniques such as write data bit-line data gating, optimized sequential address patterns, and bit-packed multi-bit cells in the Meteor Lake NPU. This resulted in a 26% reduction in PE register file power when compared to previous designs.
Intel Labs Contributes Key Technologies to New Intel Core Ultra and Intel Xeon Scalable Processors
Scott Bair is a key voice at Intel Labs, sharing insights into innovative research for inventing tomorrow’s technology. Highlights Intel Labs contributed new technologies to Intel’s newly introduced Intel® Core™ Ultra mobile processor and the 5th Gen Intel® Xeon® Scalable processor. The...
community.intel.com
Datapath and Register File Circuit Technologies in Neural Processing Unit
The Intel Core Ultra NPU incorporates floating-point dot product datapath circuits based on research from Intel Labs. Machine learning workloads use deep neural networks with matrix multiplication and convolution as the key power and performance limiting operations. Multiple techniques, including fused multiply-accumulate with global alignment and entering a fixed-point adder tree, provide up to 10% area reduction and 30% power reduction for the NPU when compared to previous designs. Further optimizations such as local product alignment and speculative OR-tree based maximum exponent further improve circuit delay. Using some of the techniques based on research described in Optimized Fused Floating-Point Many-Term Dot-Product Hardware for Machine Learning Accelerators, the Intel Labs team worked jointly with the NPU team to evaluate and implement these improvements in the Meteor Lake NPU.
Data flow optimization is key to improving the energy-efficiency of the NPU. Data movement energy can dominate overall chip power consumption but can be mitigated by temporal and spatial reuse with smaller, local memories versus larger, more expensive levels of static random-access memory (SRAM). Therefore, an efficient design of these local register files is extremely important to reduce the data movement power. Within a processing element (PE) of the NPU, there are three types of small local register files with a varying number of ports, sizes, and banks that store input activations, weights, and output features. Cumulatively, this local register file power can account for a significant amount of PE power. Motivated by low-power synthesizable register files research originating from Intel Labs and described in 2.4GHz, Double-Buffered, 4kb Standard-Cell-Based Register File with Low-Power Mixed-Frequency Clocking for Machine Learning Accelerators, the Intel Labs team worked jointly with the NPU team to incorporate key circuit techniques such as write data bit-line data gating, optimized sequential address patterns, and bit-packed multi-bit cells in the Meteor Lake NPU. This resulted in a 26% reduction in PE register file power when compared to previous designs.
FabricatedLunacy
Regular
Hi FACT FINDER,Hi FL
The known FACTS:
Renesas licensed 2 nodes of Brainchip’s AKIDA technology.
EE Times published the following statement:
“Renesas is taping out a chip using the spiking neural network (SNN) technology developed by Brainchip.
This is part of a move to boost the leading edge performance of its chips for the Internet of Things, Sailesh Chittipeddi became Executive Vice President and General Manager of IoT and Infrastructure Business Unit at Renesas Electronics and the former CEO of IDT tells eeNews Europe”
Renesas tapes out spiking neural network chip
Renesas is taping out a chip using Brainchip's spiking neural network (SNN) technology and expanding internal and foundry capacitywww.eenewseurope.com
Brainchip published this article on the website thereby adopting it as a true statement for which they can be held liable.
ARM confirmed AKIDA technology is compatible with all ARM process including Cortex M85.
Brainchip has confirmed that AKIDA technology is compatible with all ARM process including M85.
Renesas and ARM announced that Renesas is using M85.
Neither Renesas , ARM or Brainchip have said that Renesas is combining M85 with AKIDA technology.
The only place where I have read that Renesas is combining M85 with AKIDA is on TSEx and HC. The authors have never provided any proof that this is occurring.
I see no reason to believe Renesas is combining M85 with AKIDA.
My opinion only DYOR
FACT FINDER
Thank you very much for your time.
Those are the facts indeed (or should it be FACTS
). However, to me, this does not address my question as to why they are not using us. I did not mention that they all collectively stated that AKIDA would be used. I simply asked why are they using something else, which requires 30 million plus images to train, when we supposedly can do this as a one-shot. I am just trying to understand that if we are so superior then how come, known partners are not even using us...
Just thinking IF we get plenty of mentions at CES 2024 from companies like Valeo, Mercedes, etc... the SP could/will boom and Sean Hehir will be a Hero... comments on here will all have positive vibes... the silly second S words will never be mentioned again... I invested because I thought it was a great idea... invested time and time again as we validated the Akida 1000 works on Silicon and still investing because the price is just too good to resist... we have come a long way and I personally feel excited by the amount of Partners with Huge names in the industry... we are only going forwards and my confidence in Management and the BOD's is as strong as ever...reading stuff on here makes me wonder why some even invested in the first place. FOMO instead of Research maybe. Each to their own.. im a long term invester and believe in the company after plenty of reseach over the years...lets be a little more forgiving . Our time will come... my opinion only...
Shadow59
Regular
What he said!
This is even older, but it confirms MB.OS will use Nvidia software, AI expertise, and Orin SoC, as well as Lumimar radar.
Mercedes-Benz previews new MB.OS operating system
Mercedes-Benz's new chip-to-cloud architecture is due to launch in 2024, first appearing in the third-generation CLA. 20230223 Greg Kablehttps://www.drive.com.au/news/mercedes-benz-mb-os-operating-system/
Among the partners for the new autonomous driving functions is NVIDIA, which Mercedes-Benz says provides its software, data and artificial intelligence expertise as well as its Orin system-on-chip hardware.
It collaborates with Luminar for new light detection and LiDAR sensors.
A partnership with YouTube will allow drivers to view video content on the infotainment while using the Level 3 Drive Pilot autonomous driving system in countries where it is permitted.
The Nvidia Orin drive chip is being used
Mercedes Benz Automotive Partner | NVIDIA
https://www.nvidia.com/en-us/self-driving-cars/partners/mercedes/
Mercedes-Benz and NVIDIA
Mercedes-Benz has partnered with NVIDIA to bring artificial intelligence (AI) and metaverse technologies into its design and development process. This collaboration will use NVIDIA DRIVE Orin™ to create software-defined vehicles and NVIDIA Omniverse™ for more intelligent and efficient manufacturing, bringing unprecedented advancements to the automotive industry.
This appears to have some rudimentary AI capabilities:
Jetson_Orin_NX_DS-10712-001_v0.5.pdf (nvidia.com)
The Orin PVA is the second generation of NVIDIA’s vision DSP architecture. This is an application-specific instruction vector processor that targets computer-vision along with virtual and mixed reality applications. These are some key areas where PVA capabilities are a good match for algorithmic domains that need to have a predictable processing capability, at low power and low latency.
Given a previous reference to Nvidia as not so much a competitor as a partner, there is some hope that Akida will be used in conjunction with the Nvidia AI implementations.
I don't recall seeing anything linking BRN and Luminar, although the Luminar patents show potential for the use of Akida.
FabricatedLunacy
Regular
Yeah, he said "IF" which is all we ever get to be honest
IF we'd go to the moon with BRN Bus we'd all be rich... Instead, we are 78% down this year alone...
Last edited:
Fullmoonfever
Top 20
Pretty sure probs posted before but if not....from the Valeo site mid last month.
If I'm not mistaken, Akida does 3D point cloud from memory and definitely AI perception, so who knows...maybe just maybe at CES 24 I hope
www.valeo.com
VALEO GROUP | 16 NOV, 2023 | 7 MIN
Valeo is proud to announce that our SCALA 3 LiDAR is a CES 2024 Innovation Award honoree in the category "Vehicle Tech & Advanced Mobility".
As the industry recognises the key role of LiDAR technology in the development of autonomous mobility, this award acknowledges once again Valeo’s leading role as a pioneer in bringing this technology to the automotive industry and in producing it at scale.
SCALA 3, Valeo’s 3rd generation LiDAR perception system, offers an automotive-grade high resolution LiDAR (Light Detection & Ranging) sensor, allowing advanced perception in all conditions meeting the highest automotive industry quality and safety standards. SCALA 3 high-density point cloud and associated AI-based perception software enables high-speed autonomous driving on highways in a wider range of conditions, dramatically increasing the end-user value of Level 3 systems through a large extension of their domain of operation and the scalability of Level 4 robotaxi fleet.
Valeo’s capability to deliver on its promises is recognised by clients around the world. Valeo LiDAR equips the only Level 3 passenger cars authorized in Europe, and we have announced in March 2023 orders over the past 18 months worth more than 1 billion euros for Valeo SCALA 3. Valeo, the global leader in Advanced Driver Assistance Systems (ADAS), was the first, and remains the leading company, in the production of automotive LiDAR sensors and perception software on an industrial scale for Level 3 autonomous driving.
At CES 2024 from Jan. 8 to 12, Valeo will present at its booth its awards winning SCALA 3 LiDAR and, for the first time, will give visitors the opportunity to experience and learn more about our AI-based perception software and how it helps classify objects identified by the LiDAR in the Point Cloud.
Marc Vrecko, President of Valeo Comfort and Driving Assistance explains “Valeo has been among the first actors of the automotive industry to believe in LiDAR’s role as the keystone of autonomous mobility. We are honored to receive a CES 2024 Innovation Award that recognises our vision and technological leadership. Today, as most automakers work on bringing Level 3 autonomy to the market, we are ready to support them with our best-in-class technology. After more than 10 years of development and more than five years of production, our LiDAR is already in use on vehicles around the world, contributing significantly to the enhanced safety of road users as well as to offering a great step forward in the development of automated mobility. Valeo is a partner in the innovation being deployed worldwide and is today the only company able to offer both a LiDAR technology with outstanding performance and a unique capability to produce automotive grade LiDAR systems at scale.“
If I'm not mistaken, Akida does 3D point cloud from memory and definitely AI perception, so who knows...maybe just maybe at CES 24 I hope
Valeo SCALA™ 3 LiDAR (Light Detection & Ranging) receives prestigious CES 2024 Innovation Award
Valeo is proud to announce that our SCALA™ 3 LiDAR is a CES 2024 Innovation Award honoree in the category "Vehicle Tech & Advanced Mobility"
www.valeo.com
VALEO GROUP | 16 NOV, 2023 | 7 MIN
Valeo SCALA 3 LiDAR (Light Detection & Ranging) receives prestigious CES 2024 Innovation Award
Valeo is proud to announce that our SCALA 3 LiDAR is a CES 2024 Innovation Award honoree in the category "Vehicle Tech & Advanced Mobility".
As the industry recognises the key role of LiDAR technology in the development of autonomous mobility, this award acknowledges once again Valeo’s leading role as a pioneer in bringing this technology to the automotive industry and in producing it at scale.
SCALA 3, Valeo’s 3rd generation LiDAR perception system, offers an automotive-grade high resolution LiDAR (Light Detection & Ranging) sensor, allowing advanced perception in all conditions meeting the highest automotive industry quality and safety standards. SCALA 3 high-density point cloud and associated AI-based perception software enables high-speed autonomous driving on highways in a wider range of conditions, dramatically increasing the end-user value of Level 3 systems through a large extension of their domain of operation and the scalability of Level 4 robotaxi fleet.
Valeo’s capability to deliver on its promises is recognised by clients around the world. Valeo LiDAR equips the only Level 3 passenger cars authorized in Europe, and we have announced in March 2023 orders over the past 18 months worth more than 1 billion euros for Valeo SCALA 3. Valeo, the global leader in Advanced Driver Assistance Systems (ADAS), was the first, and remains the leading company, in the production of automotive LiDAR sensors and perception software on an industrial scale for Level 3 autonomous driving.
At CES 2024 from Jan. 8 to 12, Valeo will present at its booth its awards winning SCALA 3 LiDAR and, for the first time, will give visitors the opportunity to experience and learn more about our AI-based perception software and how it helps classify objects identified by the LiDAR in the Point Cloud.
Marc Vrecko, President of Valeo Comfort and Driving Assistance explains “Valeo has been among the first actors of the automotive industry to believe in LiDAR’s role as the keystone of autonomous mobility. We are honored to receive a CES 2024 Innovation Award that recognises our vision and technological leadership. Today, as most automakers work on bringing Level 3 autonomy to the market, we are ready to support them with our best-in-class technology. After more than 10 years of development and more than five years of production, our LiDAR is already in use on vehicles around the world, contributing significantly to the enhanced safety of road users as well as to offering a great step forward in the development of automated mobility. Valeo is a partner in the innovation being deployed worldwide and is today the only company able to offer both a LiDAR technology with outstanding performance and a unique capability to produce automotive grade LiDAR systems at scale.“
Now that you've corrected it, everyone thinks I've been drinking again - well they're wrong - it's not "again", it's "still".
Fullmoonfever
Top 20
Though, to temper expectations I've found this project via Adante.ai which involved Valeo, GML and CEA on neuromorphic.Pretty sure probs posted before but if not....from the Valeo site mid last month.
If I'm not mistaken, Akida does 3D point cloud from memory and definitely AI perception, so who knows...maybe just maybe at CES 24 I hope
Valeo SCALA™ 3 LiDAR (Light Detection & Ranging) receives prestigious CES 2024 Innovation Award
Valeo is proud to announce that our SCALA™ 3 LiDAR is a CES 2024 Innovation Award honoree in the category "Vehicle Tech & Advanced Mobility"
VALEO GROUP | 16 NOV, 2023 | 7 MIN
Valeo SCALA 3 LiDAR (Light Detection & Ranging) receives prestigious CES 2024 Innovation Award
Valeo is proud to announce that our SCALA 3 LiDAR is a CES 2024 Innovation Award honoree in the category "Vehicle Tech & Advanced Mobility".
As the industry recognises the key role of LiDAR technology in the development of autonomous mobility, this award acknowledges once again Valeo’s leading role as a pioneer in bringing this technology to the automotive industry and in producing it at scale.
SCALA 3, Valeo’s 3rd generation LiDAR perception system, offers an automotive-grade high resolution LiDAR (Light Detection & Ranging) sensor, allowing advanced perception in all conditions meeting the highest automotive industry quality and safety standards. SCALA 3 high-density point cloud and associated AI-based perception software enables high-speed autonomous driving on highways in a wider range of conditions, dramatically increasing the end-user value of Level 3 systems through a large extension of their domain of operation and the scalability of Level 4 robotaxi fleet.
Valeo’s capability to deliver on its promises is recognised by clients around the world. Valeo LiDAR equips the only Level 3 passenger cars authorized in Europe, and we have announced in March 2023 orders over the past 18 months worth more than 1 billion euros for Valeo SCALA 3. Valeo, the global leader in Advanced Driver Assistance Systems (ADAS), was the first, and remains the leading company, in the production of automotive LiDAR sensors and perception software on an industrial scale for Level 3 autonomous driving.
At CES 2024 from Jan. 8 to 12, Valeo will present at its booth its awards winning SCALA 3 LiDAR and, for the first time, will give visitors the opportunity to experience and learn more about our AI-based perception software and how it helps classify objects identified by the LiDAR in the Point Cloud.
Marc Vrecko, President of Valeo Comfort and Driving Assistance explains “Valeo has been among the first actors of the automotive industry to believe in LiDAR’s role as the keystone of autonomous mobility. We are honored to receive a CES 2024 Innovation Award that recognises our vision and technological leadership. Today, as most automakers work on bringing Level 3 autonomy to the market, we are ready to support them with our best-in-class technology. After more than 10 years of development and more than five years of production, our LiDAR is already in use on vehicles around the world, contributing significantly to the enhanced safety of road users as well as to offering a great step forward in the development of automated mobility. Valeo is a partner in the innovation being deployed worldwide and is today the only company able to offer both a LiDAR technology with outstanding performance and a unique capability to produce automotive grade LiDAR systems at scale.“
Not sure of date, can't find one yet, but we know we were at least loosely connected to CEA (Leti?) via some other neuromorphic projects from mem.
Use Case 3.3: 3D Object Detection and Classification of Road Users based on LiDAR and camera
Transport and Smart Mobility
The process of perception in self-driving cars uses a combination of different sensors to perceive and model the environment around the vehicle, in real-time. Perception in self-driving cars is crucial to the following operation modules. For example, actions like breaking are derived from it. Sensors like cameras, radars and LiDARS are used for the environmental modelling around the car. Using and processing this data, software systems based on neural networks act as the ‘brain’ of the vehicle. The related hardware, in the current AI solutions, is based on powerful and highly power-hungry GPUs, which is not suitable for smart sensors or central domain controllers that need to fuse several input streams (need for multiple chips). Therefore, this use case also will permit to investigates how much it is possible to reduce the overall power consumption with neuromorphic chip computing and in parallel keeping the same detection performance and an improved latency as compared to other conventional chips with higher power consumption as mentioned before.
Valeo, in collaboration with CEA and GML, works to demonstrate how neuromorphic chip computing can be applied in the perception stack for autonomous driving using LiDAR and camera neural network tasks on 3D object detection and classification of road users.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Yes, please!!!
www.afr.com
Ban short-selling in the ‘national interest’, Chalice boss pleads
Peter Ker
Resources reporter
Updated Dec 20, 2023 – 1.12pm,
EXTRACT ONLY
Chalice Mining chief executive Alex Dorsch claimed short-selling of critical minerals stocks should be banned “in the national interest” to ensure “geopolitical opponents” cannot hold back the development of Australian mines.
His plea to replicate a similar ban adopted by South Korea’s regulator in November, which was met with consternation from market participants, follows Chalice shares falling 72.9 per cent this year after the company disappointed the market with the results of a scoping study into its Gonneville project north of Perth.
Chalice Mining major backer Tim Goyder (left) and chief executive Alex Dorsch. Trevor Collens
Chalice has found a critical minerals cluster that contains palladium, platinum, nickel, copper, cobalt and gold. It will need to raise close to $2 billion to build the mine at Gonneville, making it a prime target for hedge funds given its reliance on the capital markets for funding.
Chalice has 5.9 per cent of its register in the hands of short-sellers, according to the latest data from the market regulator. Five of the top-10 biggest ASX hedge fund targets are critical minerals producers and hopefuls.
Mr Dorsch said South Korea had taken “exactly the right approach”.
He said short-selling could help create an efficient market for mature, revenue generating companies, but pre-revenue companies needed more protection from market forces.
“There really is no place for it in the critical minerals space or any sort of growth businesses where you are trying to do something very much in the national interest,” he said. “By allowing short selling you are just allowing your geopolitical opponents to restrict and basically put barriers to entry up to those newer growth players.
“If you allow short selling of those types of pre-revenue companies you are disincentivising entrepreneurialism, you are stymying people who are trying to grow real businesses, people who are trying to create economic wealth and strategically important projects and sources of revenue for the country.”
Ban short-selling in the ‘national interest’, Chalice boss pleads
Hedge funds targeting pre-revenue companies holds back Australia’s objectives in critical minerals, according to aspirant Chalice.
Ban short-selling in the ‘national interest’, Chalice boss pleads
Peter Ker
Resources reporter
Updated Dec 20, 2023 – 1.12pm,
EXTRACT ONLY
Chalice Mining chief executive Alex Dorsch claimed short-selling of critical minerals stocks should be banned “in the national interest” to ensure “geopolitical opponents” cannot hold back the development of Australian mines.
His plea to replicate a similar ban adopted by South Korea’s regulator in November, which was met with consternation from market participants, follows Chalice shares falling 72.9 per cent this year after the company disappointed the market with the results of a scoping study into its Gonneville project north of Perth.
Chalice Mining major backer Tim Goyder (left) and chief executive Alex Dorsch. Trevor Collens
Chalice has found a critical minerals cluster that contains palladium, platinum, nickel, copper, cobalt and gold. It will need to raise close to $2 billion to build the mine at Gonneville, making it a prime target for hedge funds given its reliance on the capital markets for funding.
Chalice has 5.9 per cent of its register in the hands of short-sellers, according to the latest data from the market regulator. Five of the top-10 biggest ASX hedge fund targets are critical minerals producers and hopefuls.
Mr Dorsch said South Korea had taken “exactly the right approach”.
He said short-selling could help create an efficient market for mature, revenue generating companies, but pre-revenue companies needed more protection from market forces.
“There really is no place for it in the critical minerals space or any sort of growth businesses where you are trying to do something very much in the national interest,” he said. “By allowing short selling you are just allowing your geopolitical opponents to restrict and basically put barriers to entry up to those newer growth players.
“If you allow short selling of those types of pre-revenue companies you are disincentivising entrepreneurialism, you are stymying people who are trying to grow real businesses, people who are trying to create economic wealth and strategically important projects and sources of revenue for the country.”
rgupta
Regular
Renasas need not share with the market even if they used our IP in a product. They can say in home developments and brainchip is happy with the royalties only.
Fact Finder
Top 20
Hi FLHi FACT FINDER,
Thank you very much for your time.
Those are the facts indeed (or should it be FACTS
I am just trying to understand that if we are so superior then how come, known partners are not even using us...
There are probably a host of reasons based on FACTS and logic that could be applied to address this question before leaping to the conclusion you are suggesting.
For example firstly we know the following:
1. Edge Impulse and BrainChip Partner to Further AI Development with Support for the Akida platform
NEWS PROVIDED BY
Edge Impulse
03 Jan, 2023, 08:00 ET
SHARE THIS ARTICLE
SAN JOSE, Calif., Jan. 3, 2023 /PRNewswire/ -- Edge Impulse announced today official support for BrainChip's neural processor AI IP, making BrainChip the first strategic IP partner on the Edge Impulse platform. This integration will enable users to leverage the power of Edge Impulse's machine learning platform, combined with the high-performance neural processing capabilities of BrainChip's Akida™ to develop and deploy powerful edge-based solutions.
Among the products supported by Edge Impulse is BrainChip's AKD1000 SoC, the first available device with Akida IP for developers. This comes with a BrainChip Akida PCIe reference board, which can be plugged into a developer's existing system to unlock capabilities for a wide array of edge AI use cases, including Automotive, Consumer, Home, and Industrial applications.
The Akida IP platform provides low-power, high-performance edge AI acceleration, designed to enable real-time machine learning inferencing on-device. Based on neuromorphic principles that mimic the brain, Akida supports today's models and workloads while future-proofing for emerging trends in efficient AI. Now devices with the Akida IP supported by Edge Impulse can enable users to sample raw data, build models, and deploy trained embedded machine learning models directly from Edge Impulse Studio to create the next generation of low-power, high-performance ML applications.
"This integration will provide users with a powerful and easy-to-use solution for building and deploying machine learning models on the edge," said Zach Shelby, co-founder and CEO of Edge Impulse. "We look forward to seeing what our users will create with BrainChip's AI offering."
"BrainChip's goal is to push the limits of on-chip AI compute to extremely energy-constrained sensor devices, the kind of performance that is only available in much higher power systems." said Sean Hehir, BrainChip's CEO. "Having our Akida IP supported and implemented into the Edge Impulse platform helps ensure that developers are able to deploy ML solutions quickly and easily to create a much more capable, innovative, and truly intelligent edge."
Edge Impulse and BrainChip have an established relationship, previously announcing cross-platform support, including support for deploying Edge Impulse projects on the BrainChip MetaTF platform. Some of the features in which the user community can leverage include:
- BrainChip's transfer learning block on Edge Impulse design studio
- Quantization Aware Training (QAT)
- The introduction of FOMO for BrainChip's Akida
- Generation of BrainChip's compatible Edge Learning Models
- No-code binary generation for quick AKD1000 deployment
- Performance metrics for model profiling
Secondly we know that Nvidia think so highly of the Edge Impulse platform and how easy it makes it for developers to implement they have become a partner and allow full access to their software platform for this purpose.
Thirdly we know unlike Governments companies like Renesas have corporate plans stretching 5, 10, 15 years into the future which they implement and it is not logical to expect that their corporate plan to implement AKIDA in a low end MCU is going to be changed overnight when we have evidence that they have been following that plan since at least 2000 through to November, 2022 into 2023.
Finally we all know that multiple analysts, companies, research engineers and scientists have test AKIDA technology and come to the same conclusion that Edge Impulse has in particular Tata Consulting Group and Tata Elxsi.
I know that we have a range of people on this site and accordingly a range of views but to ignore all the above primary evidence and leap straight to your conclusion that because you are not being told by Renesas what its corporate plans are that it could actually mean that AKIDA technology is a dog just 'does not compute' as a famous robot from Lost in Space used to say.
Your statement that 'known partners are not using us' is of course incorrect as you would well know so I assume this is one of those emotional statements that we dismiss when our partners are making a point.
You are however not my partner and I am an investor in Brainchip as apparently you are so why are you prepared to make this statement which if accepted by casual readers of this site may influence their opinion of Brainchip and its technology?
As I have taken the time to address your questions I would like you to address my question now even if your answer is I did not really mean that I was just being emotional and exaggerating.
My opinion only DYOR
Fact Finder
wilzy123
Founding Member
Hi FL
There are probably a host of reasons based on FACTS and logic that could be applied to address this question before leaping to the conclusion you are suggesting.
For example firstly we know the following:
1. Edge Impulse and BrainChip Partner to Further AI Development with Support for the Akida platform
NEWS PROVIDED BY
Edge Impulse
03 Jan, 2023, 08:00 ET
SHARE THIS ARTICLE
SAN JOSE, Calif., Jan. 3, 2023 /PRNewswire/ -- Edge Impulse announced today official support for BrainChip's neural processor AI IP, making BrainChip the first strategic IP partner on the Edge Impulse platform. This integration will enable users to leverage the power of Edge Impulse's machine learning platform, combined with the high-performance neural processing capabilities of BrainChip's Akida™ to develop and deploy powerful edge-based solutions.
Among the products supported by Edge Impulse is BrainChip's AKD1000 SoC, the first available device with Akida IP for developers. This comes with a BrainChip Akida PCIe reference board, which can be plugged into a developer's existing system to unlock capabilities for a wide array of edge AI use cases, including Automotive, Consumer, Home, and Industrial applications.
The Akida IP platform provides low-power, high-performance edge AI acceleration, designed to enable real-time machine learning inferencing on-device. Based on neuromorphic principles that mimic the brain, Akida supports today's models and workloads while future-proofing for emerging trends in efficient AI. Now devices with the Akida IP supported by Edge Impulse can enable users to sample raw data, build models, and deploy trained embedded machine learning models directly from Edge Impulse Studio to create the next generation of low-power, high-performance ML applications.
"This integration will provide users with a powerful and easy-to-use solution for building and deploying machine learning models on the edge," said Zach Shelby, co-founder and CEO of Edge Impulse. "We look forward to seeing what our users will create with BrainChip's AI offering."
"BrainChip's goal is to push the limits of on-chip AI compute to extremely energy-constrained sensor devices, the kind of performance that is only available in much higher power systems." said Sean Hehir, BrainChip's CEO. "Having our Akida IP supported and implemented into the Edge Impulse platform helps ensure that developers are able to deploy ML solutions quickly and easily to create a much more capable, innovative, and truly intelligent edge."
Edge Impulse and BrainChip have an established relationship, previously announcing cross-platform support, including support for deploying Edge Impulse projects on the BrainChip MetaTF platform. Some of the features in which the user community can leverage include:
The ongoing combination of BrainChip's Akida technology and Edge Impulse's platform, tools, and services will allow customers to achieve their ML objectives with fast and efficient development cycles to get to market quicker and achieve a competitive advantage."
- BrainChip's transfer learning block on Edge Impulse design studio
- Quantization Aware Training (QAT)
- The introduction of FOMO for BrainChip's Akida
- Generation of BrainChip's compatible Edge Learning Models
- No-code binary generation for quick AKD1000 deployment
- Performance metrics for model profiling
Secondly we know that Nvidia think so highly of the Edge Impulse platform and how easy it makes it for developers to implement they have become a partner and allow full access to their software platform for this purpose.
Thirdly we know unlike Governments companies like Renesas have corporate plans stretching 5, 10, 15 years into the future which they implement and it is not logical to expect that their corporate plan to implement AKIDA in a low end MCU is going to be changed overnight when we have evidence that they have been following that plan since at least 2000 through to November, 2022 into 2023.
Finally we all know that multiple analysts, companies, research engineers and scientists have test AKIDA technology and come to the same conclusion that Edge Impulse has in particular Tata Consulting Group and Tata Elxsi.
I know that we have a range of people on this site and accordingly a range of views but to ignore all the above primary evidence and leap straight to your conclusion that because you are not being told by Renesas what its corporate plans are that it could actually mean that AKIDA technology is a dog just 'does not compute' as a famous robot from Lost in Space used to say.
Your statement that 'known partners are not using us' is of course incorrect as you would well know so I assume this is one of those emotional statements that we dismiss when our partners are making a point.
You are however not my partner and I am an investor in Brainchip as apparently you are so why are you prepared to make this statement which if accepted by casual readers of this site may influence their opinion of Brainchip and its technology?
As I have taken the time to address your questions I would like you to address my question now even if your answer is I did not really mean that I was just being emotional and exaggerating.
My opinion only DYOR
Fact Finder
It's painful to see that this needs to be pointed out...
FabricatedLunacy
Regular
I am sorry... my voice nor my intellect would reach the heights of the equine upon which you are seated...Hi FL
There are probably a host of reasons based on FACTS and logic that could be applied to address this question before leaping to the conclusion you are suggesting.
For example firstly we know the following:
1. Edge Impulse and BrainChip Partner to Further AI Development with Support for the Akida platform
NEWS PROVIDED BY
Edge Impulse
03 Jan, 2023, 08:00 ET
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SAN JOSE, Calif., Jan. 3, 2023 /PRNewswire/ -- Edge Impulse announced today official support for BrainChip's neural processor AI IP, making BrainChip the first strategic IP partner on the Edge Impulse platform. This integration will enable users to leverage the power of Edge Impulse's machine learning platform, combined with the high-performance neural processing capabilities of BrainChip's Akida™ to develop and deploy powerful edge-based solutions.
Among the products supported by Edge Impulse is BrainChip's AKD1000 SoC, the first available device with Akida IP for developers. This comes with a BrainChip Akida PCIe reference board, which can be plugged into a developer's existing system to unlock capabilities for a wide array of edge AI use cases, including Automotive, Consumer, Home, and Industrial applications.
The Akida IP platform provides low-power, high-performance edge AI acceleration, designed to enable real-time machine learning inferencing on-device. Based on neuromorphic principles that mimic the brain, Akida supports today's models and workloads while future-proofing for emerging trends in efficient AI. Now devices with the Akida IP supported by Edge Impulse can enable users to sample raw data, build models, and deploy trained embedded machine learning models directly from Edge Impulse Studio to create the next generation of low-power, high-performance ML applications.
"This integration will provide users with a powerful and easy-to-use solution for building and deploying machine learning models on the edge," said Zach Shelby, co-founder and CEO of Edge Impulse. "We look forward to seeing what our users will create with BrainChip's AI offering."
"BrainChip's goal is to push the limits of on-chip AI compute to extremely energy-constrained sensor devices, the kind of performance that is only available in much higher power systems." said Sean Hehir, BrainChip's CEO. "Having our Akida IP supported and implemented into the Edge Impulse platform helps ensure that developers are able to deploy ML solutions quickly and easily to create a much more capable, innovative, and truly intelligent edge."
Edge Impulse and BrainChip have an established relationship, previously announcing cross-platform support, including support for deploying Edge Impulse projects on the BrainChip MetaTF platform. Some of the features in which the user community can leverage include:
The ongoing combination of BrainChip's Akida technology and Edge Impulse's platform, tools, and services will allow customers to achieve their ML objectives with fast and efficient development cycles to get to market quicker and achieve a competitive advantage."
- BrainChip's transfer learning block on Edge Impulse design studio
- Quantization Aware Training (QAT)
- The introduction of FOMO for BrainChip's Akida
- Generation of BrainChip's compatible Edge Learning Models
- No-code binary generation for quick AKD1000 deployment
- Performance metrics for model profiling
Secondly we know that Nvidia think so highly of the Edge Impulse platform and how easy it makes it for developers to implement they have become a partner and allow full access to their software platform for this purpose.
Thirdly we know unlike Governments companies like Renesas have corporate plans stretching 5, 10, 15 years into the future which they implement and it is not logical to expect that their corporate plan to implement AKIDA in a low end MCU is going to be changed overnight when we have evidence that they have been following that plan since at least 2000 through to November, 2022 into 2023.
Finally we all know that multiple analysts, companies, research engineers and scientists have test AKIDA technology and come to the same conclusion that Edge Impulse has in particular Tata Consulting Group and Tata Elxsi.
I know that we have a range of people on this site and accordingly a range of views but to ignore all the above primary evidence and leap straight to your conclusion that because you are not being told by Renesas what its corporate plans are that it could actually mean that AKIDA technology is a dog just 'does not compute' as a famous robot from Lost in Space used to say.
Your statement that 'known partners are not using us' is of course incorrect as you would well know so I assume this is one of those emotional statements that we dismiss when our partners are making a point.
You are however not my partner and I am an investor in Brainchip as apparently you are so why are you prepared to make this statement which if accepted by casual readers of this site may influence their opinion of Brainchip and its technology?
As I have taken the time to address your questions I would like you to address my question now even if your answer is I did not really mean that I was just being emotional and exaggerating.
My opinion only DYOR
Fact Finder
Enjoy and good luck to all of us... I for one, uninformed and all, think we need it!
/FL.
FabricatedLunacy
Regular
oh yes... all the royalties all the many many many royalties
Fact Finder
Top 20
Thank you for not answering my question as my long lingering doubts regarding your motivations are no longer doubts.
Perhaps you would be best served by working with T&J on HC as he needs a break.
My opinion only DYOR
FACT FINDER
FabricatedLunacy
Regular
Long lingering doubts.... hilarious, given we have had no real interactions. But sure sure... Enjoy the view
Apologies if posted already, posted by wevolver 22hrs ago
www.linkedin.com
Neuromorphic E-Noses in Medical and Industrial Applications
Exploring the Fusion of Neuromorphic Computing and Electronic Noses for Advanced Sensory Solutions
www.wevolver.com
Technology has made significant strides in replicating human senses and mimicking the sense of smell. | Wevolver
Technology has made significant strides in replicating human senses and mimicking the sense of smell. Electronic noses (e-noses), devices designed to detect and analyze odors, have become integral in medical diagnostics and food quality control. However, current e-nose technologies face...
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