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Guess no one had look at any of these videos yet from edge ai foundation in Austin we attended.
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BRN Discussion Ongoing
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Google DeepMind hires Rain AI engineer for growing "AI hardware design" team
Neuromorphic computing expert leaves Altman-backed startup for Google's AI lab
February 28, 2025 By Sebastian Moss Have your say
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Google DeepMind has hired a former Rain AI engineer with a background in neuromorphic computing for an AI hardware team.
Maxence Ernoult spent just over two years at Rain AI, a Sam Altman-backed neuromorphic chip startup that has a letter of intent from OpenAI. The hire has not been previously reported.
17 Jan 2019
The creation of the electronic brain
DCD reports on the epic decades-long quest to make computers more like the human brain
Prior to his time working on in-memory computing at Rain, Ernoult worked at IBM and studied neuromorphic computing at Sorbonne Université.
Neuromorphic computing aims to mimic how the brain works, by using hardware and software that simulate the neural and synaptic structures and functions of the brain.
"Absolutely thrilled to announce that I'm starting next week as a senior research engineer at Google DeepMind in Albert Cohen's team dedicated to AI hardware design," Ernoult said in a LinkedIn post.
Cohen is a research scientist at Google DeepMind who in 2020 published research on Computing-In-Memory (CIM) architectures. "Memristor-based, non-von-Neumann architectures performing tensor operations directly in memory are a promising approach to address the ever-increasing demand for energy-efficient, high-throughput hardware accelerators for Machine Learning (ML) inference," the abstract states.
Across Google DeepMind, a number of researchers appear to be working on AI chips, under director Olivier Temam, who says that he is building the "hardware infrastructure for AGI." Temam previously co-led Google's Cloud Tensor Processing Unit (TPU) project for a year and created a TPU project for embedded and low-power applications.
TPUs are Google's broader AI chip family, used to train Gemini and available on its cloud service.
Temam is also part of DeepMind's AlphaChip effort, which aims to use AI to help design chip layouts. The company claims that it has used AlphaChip in the design of TPUs since 2020, as well as for its Axion Arm chips and other processors.
"We believe AlphaChip has the potential to optimize every stage of the chip design cycle, from computer architecture to manufacturing — and to transform chip design for custom hardware found in everyday devices such as smartphones, medical equipment, agricultural sensors, and more," Google said last year.
A job listing for a DeepMind chip design research engineer says that the company aims to "solve some of the most complex tasks in Chip Design (RTL generation, RTL verification, Logic Synthesis, Physical Design, PPA prediction." It adds: "As part of our team at Google DeepMind, you'll have opportunities to advance AI for Chip Design to enable breakthrough capabilities and pioneer next-generation products."
Whether the company is looking at neuromorphic hardware is unclear. This January, Google DeepMind researcher Cliff Young was a co-author on a Nature paper that laid out a roadmap to neuromorphic computing competing at scale with conventional approaches. Young was critical to the development of the TPU, and also designed much of D. E. Shaw Research's seminal Anton supercomputer.
Also pointing to DeepMind's interest in neuromorphic research is Yale Professor Priyadarshini Panda, a highly respected neuromorphic computing figure who leads the university's Intelligent Computing Lab. Prof. Panda became a visiting scholar to Google DeepMind last April.
Google DeepMind declined to comment on whether this hardware project is related to AlphaChip, TPUs, neuromorphic computing, or is a new initiative.
Google DeepMind hires Rain AI engineer for growing "AI hardware design" team
Neuromorphic computing expert leaves Altman-backed startup for Google's AI labwww.datacenterdynamics.com
Professor Priyadarshini Panda, Yale University Intelligent Computing Lab.
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Here are some extracts from Priya's research developed with funding from DARPA which mention the use of SNN's.
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Priya was also on a panel organised in 2022 by Tata Consultancy "Neuromorphic Computing for Transformation of the Industrial Future".
Arpan Paul was on the same panel.
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As well as the reference to Google's compute-in-memory (cim) research, Ernoult's work at Rain has been in hybrid analog/digital NNs and edge devices.
US2024202594A1 PRIVATE TRAINING OF ARTIFICIAL INTELLIGENCE 20221214
US2024249190A1 GRADIENT COMPUTATION IN HYBRID DIGITALLY TIED ANALOG BLOCKS WITH ARBITRARY CONNECTIVITY BY EQUILIBRIUM PROPAGATION 20230119
If you Google "Temu shooter", Temu will have a few on sale.
Much as I would like to be wrong, I don't agree that Ethos U85 contains Akida.
https://armkeil.blob.core.windows.n...rm-ethos-u-processor-series-product-brief.pdf
Hi Doz,
Ogres at 10 paces!
So to address your straw man argument - I have posted a few times about TENNs using MACs, just little ones, and mentioned that we could no longer rely on MACs as a guaranteed discriminator.
For example:
- #94,041
- Jan 5, 2025
- #83,783
- May 16, 2024
Of course, if your oger wishes to engage in combat blindfolded, so be it.
PS: Ditch the "respect and admiration" - we're here for a
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Dodgy , thanks for your reply , if I look at the above
256 GOPs is the same lowest as Akida
Mac’s …… in debate
SRAM / available
Interfaces 6 …. Our edge box has 5 I believe
External memory / available ( flash think Mercedes )
Cortex M & A compatibility with Akida
i’m not sure the above is concrete evidence that the Arm Ethos U85 is not Akida , unless I am not understanding your reasons correctly .
Hi Doz,
Well the onus is on you to demonstrate that U85 uses Akida. There is nothing to suggest U85 uses Akida, whereas the comparison table indicates that U85 does not use Akida because that would be a major point of differentiation from the earlier versions of U85. There is no mention of SNNs.
I think (read "guess") the main point of differentiation is that Ethos uses the MACs as the central processing capability of its NPE, where as in TENNs the MACs are an "incidental" component, and TENNs uses one seventh the number/size of MACs.
- so don't go too close to the edge of the earth - it's a long way to fall.
Blindfolds off ….
Bravo , take a seat at the bar behind Dodgy and let me know what else he is holding …
Anil from Tech Field Day interview - November 2020 , long before TENN’s , talking Mac’s as I watch the sweat run down your brow .
Pom down under
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DingoBorat
Slim
The LDA Capital call pricing period, is from 7th of March until 30th of April (or until shares have been fully subscribed by LDA)..
So "We" are basically excluding any "surprise" of stellar March quarter results, from influencing the share price.
So for BrainChip to be doing it now, there must be a strategic reason, in anticipated news flow, from significant deals or partnerships (as per Bravo's intuition).
I believe, the release of the desire to move to the US, without anything else supporting it, on the same day as the LDA Capital call, may have been (or is in effect) a "Queen sacrifice" to the shorters and manipulators.
They would have gone hard on Thursday and then more so on Friday.
"A queen sacrifice happens when a player voluntarily lets the opponent capture their queen. The player offering the queen sacrifice does so to try to gain an advantage like more material, a better position, or checkmate"
Positive news now, will be potentially "troublesome" for them, but very beneficial, in the amplified effect, for BrainChip getting the best out of the LDA deal.
Maybe the King, won't get himself assassinated?..
"Come on God, do I seem bulletproof?.."
So "We" are basically excluding any "surprise" of stellar March quarter results, from influencing the share price.
So for BrainChip to be doing it now, there must be a strategic reason, in anticipated news flow, from significant deals or partnerships (as per Bravo's intuition).
I believe, the release of the desire to move to the US, without anything else supporting it, on the same day as the LDA Capital call, may have been (or is in effect) a "Queen sacrifice" to the shorters and manipulators.
They would have gone hard on Thursday and then more so on Friday.
"A queen sacrifice happens when a player voluntarily lets the opponent capture their queen. The player offering the queen sacrifice does so to try to gain an advantage like more material, a better position, or checkmate"
Positive news now, will be potentially "troublesome" for them, but very beneficial, in the amplified effect, for BrainChip getting the best out of the LDA deal.
Maybe the King, won't get himself assassinated?..
"Come on God, do I seem bulletproof?.."
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Pom down under
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Investig8ed
Regular
DingoBorat
Slim
As far as I'm aware, back in 2020, Akida did not run MACs. At the time, there was a lot of discussion about appropriate benchmarking yardsticks. It's all tied up in the word "Equivalent', ie, not actual MACs as far as Akida was concerned.
US11468299B2 Spiking neural netwok 20181101
Not a MAC to be seen.
Once you get past the giant elephant, keep counting the turltes - I believe they go all the way down ...
The Pope
Regular
Hi 7fur7
I don’t agree so where do we go from here. Lol
Like a flow chart yes / no it can now go on a continuous repeat loop as we can’t all agree.
Surely you need my agreement to confirm your $5 guess. Lmfao
Just because Akida was in the same room as U85 doesn't mean anything happened, even if the lights were out.
If you order a BLT, you don't get avacodo. You've got to order BLAT.
If you order the U85 IP, you get Ethos thrown in, but you don't get Akida IP - you've got to order U85 IP plus Akida IP.
PS: if a tiny llama runs on Akida, it will get stuck in its hooves, and then you'll need that multipurpose knife with the thing from removing stones from horses hooves.
PPS: I'll see your Sally and raise an Anastasi.
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