Interesting stuff !!
Brainchip Akida and Akida2.0 seems to be the best!
Why doesn't anyone use Akida??
Why are there so few or no IP license agreements?
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Brainchip Akida and Akida2.0 seems to be the best!
Why doesn't anyone use Akida??
Why are there so few or no IP license agreements?
Well, talking about peer reviews:
7.2.2
"... While SNNs operate on binary spikes, they still rely on floating point weights and potentials, and as we’ve seen in Chapter 6, the number of bits on which they are encoded has a direct influence on the energy consumption of the network, but also on the latency and on the size of the network considered. While several post-quantization schemes for SNNs are already available in the literature, we think that developing new Quantization-Aware Training (QAT) methods for SNNs will bring better performance when considering the encoding of floating point values on a low number of bits. This will ensure that the performance achieved during training will be met in real-life conditions."
The paper is loaded with useful background information and analysis, but is deficient in that it only mentions Akida superficially and does not mention N-of-M coding, feedforward ML, asynchronous digital, and assumes Floating Point weights ... and now there's TeNNs.
Interesting to see Masqualier (ex Spikenet) and Benosman (ex Prophesee) as supervisors.
Kachoo
Regular
An old lead resurfaced again 8 tops but the Ai accelerator is top secret.
https://www.tomshardware.com/raspbe...uawei-again-hides-chip-specs-from-prying-eyes
https://www.tomshardware.com/raspbe...uawei-again-hides-chip-specs-from-prying-eyes
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UAE to roll out 6G by 2030 with AI, human senses integration
UAE TDRA on Wednesday, April 24, unveiled a roadmap to roll out the sixth generation of mobile networks (6G) before 2030.
www-siasat-com.cdn.ampproject.org
Tothemoon24
Top 20
Last week, I had the incredible opportunity to visit the Netherlands (with my colleague Sounak Dey) on a business trip that turned out to be much more than I expected.
Primary purpose of the visit was to present our research work (as invited speakers) at Morpheus Edge AI & Neuromorphic Computing workshop (https://lnkd.in/g-z-dAxJ) organised by Laurent Hili at ESA/ESTEC (European Space Research & Technology Centre). It was well rounded workshop where we got to meet SpaceTech stakeholders that a innnovating towards embedding intelligence onboard satellites (startups, soc manufacturers, european university researchers, ESA project leaders, etc). Excellent work by workshop organiser and the presenting participants.
Unexpectedly, I also met Sir Ananth Krishnan (Tata Consultancy Services Ex-CTO) on his post retirement holiday. And the first thing that came to my mind was his retirement speech address at our IIT-KGP Research Park office: He motivated us to make products & services that are 1] Usable (should pass Grandma test) 2] Trustworthy/Reliable 3] Frugal (Space & Time resource efficient, think of bits & bytes). His advice still guides us in our research work.
The research work we presented was done in colllboration with our friends at BrainChip (Gilles Bézard and Alf Kuchenbuch). Brief introduction to our work that got deployed on Brainchip AKIDA neuromorphic processor:
Currently, there is a delay of many hours or even days to draw actionable insights from satellite imagery (due to mismatch between data volume acquisition & limited comms bandwidth). We observed that end-users either need RAW images or Analytics-ready meta-data as soon as possible. Therefore, embedding intelligence (Edge AI) onboard satellites can result in quicker business decision making across business verticals that rely on geo-spatial data.
To address this, guided by the foresight of Dr. Arpan Pal we built a bundle of tech capabilities that helps send RAW data & Analytics-ready meta-data as soon as possible to ground station. These tech capabilites include:
1) Cloud Cover Detection Model (high-accuracy, low-latency, low-power).
2) DL based Lossless Compression (around 45% compression ratio).
3) RL based Neural Architecture Search Algorithm (quickly search data+task+hardware specific optimal DL models).
We also had a chance to visit TCS Paceport in Amsterdam, hoping to showcase our research prototype there soon. Looking forward to more future collaborations with Edge AI/Neuromorphic hardware accelelator designers & space-grade SoC manufacturers.
Would like to thank Tata Consultancy Services - Research for such great opportunity to build future tech for future demand. Would also like to thank our Edge & Neuromorphic team: Arijit Mukherjee, Sounak Dey, Swarnava Dey, Abhishek Roy Choudhury, Shalini M., Syed Mujibul Islam, Sayan Kahali and our academic research advisor Dr. Manan Suri.
Pom down under
Top 20
Rskiff
Regular
See how far ahead Tesla is compared to Mercedes despite just using vision. Very interesting.Gizmodo | The Future Is Here
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Tothemoon24
Top 20
Partnership with BrainChip Allows Cornell Tech Students Exposure to Neuromorphic Computing
Cornell Tech has partnered with BrainChip, the world’s first commercial producer of neuromorphic artificial intelligence, to introduce a new course in neuromorphic computing to its graduate students by joining the company’s University AI Accelerator Program.
The Cornell Tech course on neuromorphic technology – computing that mimics the neural behavior of the human brain – was introduced to students in the electrical and computer engineering program in the spring 2024 semester.
BrainChip’s University AI Accelerator Program provides platforms, and guidance to students at higher education institutions with AI engineering programs training.
Students participating in the program will have access to real-world, event-based technologies offering unparalleled performance and efficiency to advance their learning through graduation and beyond.
The course at Cornell Tech is currently being taught by Jae-sun Seo, associate professor of electrical and computer engineering.
Seo joined Cornell Tech in 2023 and his research centers on hardware design of machine learning and neuromorphic algorithms as well as hardware-efficient AI algorithm design.
“Our goal at Cornell Tech is to develop leaders for the AI era who are capable of applying technical advancements emerging in industry to make a positive impact on society,” said Seo.
“One of the best ways to do this is to partner with those in both the private and public sectors to advance practical technology solutions that solve real-world challenges.
Working with BrainChip has allowed students to obtain the resources and learning experiences they need to succeed in neuromorphic computing.”
Neuromorphic solutions allow for faster systems that consume less power.
BrainChip focuses on machines that consume less power by drawing on a system of “neurons” in order to do more with less.
BrainChip’s neural processor, Akida™ IP, is an event-based technology that is inherently lower power when compared to conventional neural network accelerators.
Lower power affords greater scalability and lower operational costs.
Among the markets that BrainChip’s technology will impact are the next generation of smart cars, smart homes of today and tomorrow, and industrial IoT.
BrainChip University has implemented similar AI Accelerator Programs at a number of universities including Arizona State University, Carnegie Mellon University, Rochester Institute of Technology, the University of Oklahoma, and the University of Virginia.
Tothemoon24
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Terroni2105
Founding Member
“As performance is an important criterion in the selection of hardware for space missions, the European Space Agency has published an open source benchmark suite called OBPMark [2]. It is a set of benchmarks based on typical space applications and designed to measure system-level performance. However, there is currently no standard tool for evaluating the performance of distributed on-board computers.”
https://indico.esa.int/event/445/contributions/8447/attachments/5819/9710/Poster_hoch_A0_EN_EDHPC_Towards%20a%20Parallel%20Benchmark%20for%20Space%20Applications%20Distributing%20OBPMark's%20Image%20Processing.pdf
7für7
Top 20
Hmmm did you know that?
www.linkedin.com
BrainChip's Akida: a new space tech | BrainChip posted on the topic | LinkedIn
BrainChip's Akida is at the forefront of revolutionizing #SpaceTech! With the capability to enable onboard processing of satellite data, Akida drives real-time…
Nader EL-Masri on LinkedIn: This infographic breaks down most of the key logic board chip suppliers… | 13 comments
This infographic breaks down most of the key logic board chip suppliers for $AAPL's Vision Pro: Although this topic is not my typical, it's intriguing because… | 13 comments on LinkedIn
Getupthere
Regular
Arm plans to launch AI chips in 2025, Nikkei reports — Reuters
SoftBank Group's (9984.T) Arm Holdings (O9Ty.F), plans to develop artificial-intelligence (AI) chips, seeking to launch the first products in 2025, Nikkei Asia reported on Sunday.
SoftBank Group's (9984.T) Arm Holdings (O9Ty.F), plans to develop artificial-intelligence chips, seeking to launch the first products in 2025, Nikkei Asia reported on Sunday.
UK-based Arm will set up an AI chip division and aim to build a prototype by spring 2025, the report added. Mass production will be handled by contract manufacturers and is expected to start in the autumn of 2025, Nikkei Asia said.
Arm will pay for initial development costs, which may go up hundreds of billions of yen, with SoftBank also contributing, the report said.
Once a mass-production system is established, the AI chip business could be spun off and placed under SoftBank, the newspaper said, adding that SoftBank is already negotiating with Taiwan Semiconductor Manufacturing Corp (2330.TW) and others over manufacturing, looking to secure production capacity.
Arm declined to comment, while SoftBank and TSMC did not immediately respond to requests for comment.
The UK chip designer, which licenses its chip designs and earns funds through royalties, has been expanding into the data center market where operators are looking to build their own chips to power new AI models and reduce their reliance on dominant supplier Nvidia (NVDA.O).
BRN did a co-presentation with onsemi at CES 2024 on time of flight (ToF).View attachment 62668
Nader EL-Masri on LinkedIn: This infographic breaks down most of the key logic board chip suppliers… | 13 comments
This infographic breaks down most of the key logic board chip suppliers for $AAPL's Vision Pro: Although this topic is not my typical, it's intriguing because… | 13 comments on LinkedIn
onsemi use ToF in ultrasonic applications for automotive assisted parking:
Ultrasonic Sensor
The sensor measures the time of flight to an object and converts to the distance for park assist application.View Parametric Table
https://www.onsemi.com/products/sensors
onsemi is a big deal. They were spun out of Motorola's semiconductor business 25 years ago and recently purchased Fairchild along with many other IC companies along the way.
https://www.onsemi.com/company/about-onsemi/our-history
Smoothsailing
Regular
I note the Analog there does that exclude BRN or ?View attachment 62668Nader EL-Masri on LinkedIn: This infographic breaks down most of the key logic board chip suppliers… | 13 comments
This infographic breaks down most of the key logic board chip suppliers for $AAPL's Vision Pro: Although this topic is not my typical, it's intriguing because… | 13 comments on LinkedIn
wilzy123
Founding Member
Intel Network & Edge on LinkedIn: Build the future together with Intel Foundry Services
Open System Foundry: Bringing processing power to life. Learn how #Intel Foundry Services accelerates time to market, creating new solutions and products for…
Semiconductor Manufacturing Company for the AI Era
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View attachment 62645 View attachment 62653 View attachment 62654
wilzy123
Founding Member
With Akida potentially meeting the ESA OBPMark standard for space tasks, it not only opens up direct opportunities in space technology markets but also bolsters the company's position and potential across various high-tech industries.
- Enhanced Brand Credibility: Achieving certification for space applications is a testament to the reliability and robustness of the technology. This high level of endorsement could enhance the brand's credibility and open up more high-stakes markets, such as military and aerospace, where durability and performance under extreme conditions are critical.
- Expansion into New Markets: With proven capability in extreme conditions, the Akida product might attract interest from industries that require high levels of data processing reliability and efficiency. These could include automotive (particularly for autonomous vehicles), industrial IoT, and healthcare, where real-time data processing with low power consumption is crucial.
- Innovation Leadership: Participation in space missions and related technologies sets a company apart as an innovation leader. This positioning can attract investment, partnerships, and talented employees, all of which are beneficial for a technology company's growth and expansion.
- Increased Investment and Funding Opportunities: The visibility and prestige associated with space and defense industries can lead to increased interest from investors and possibly more favorable terms in funding rounds. This financial influx can be crucial for further research and development as well as scaling production capabilities.
- Competitive Advantage: By meeting the stringent requirements of space applications, BrainChip can differentiate its products from competitors. This could lead to an increased market share in the neuromorphic computing sector and potentially set a new standard for what customers expect in terms of processing capabilities and power efficiency.
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