CHIPS
Regular
Did we have this already?
The complete article can be downloaded as PDF.
The complete article can be downloaded as PDF.
BRN Discussion Ongoing
- Thread starter TechGirl
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CHIPS
Regular
Again, please look at the PDF, which can be downloaded. It is too large to post here, but it mentions Akida 42 times!
Just an abstract:
Just an abstract:
CHIPS
Regular
And there are many more at https://www.researchgate.net/search/publication?q=BrainChip
if somebody wants to check.
if somebody wants to check.
V. CONCLUSION
In this paper, we proposed QANA, a quantization-aware neuromorphic framework for skin lesion classification on edge devices. Extensive experiments on the large-scale HAM10000
benchmark and a real-world clinical dataset show that QANA achieves state-of-the-art accuracy (91.6% Top-1, 82.4% macro F1 on HAM10000; 90.8%/81.7% on the clinical set) while enabling real-time and energy-efficient inference on the BrainChip Akida platform (1.5 ms latency, 1.7 mJ per image).
These results demonstrate that QANA is highly effective for portable medical analysis and AI deployment in dermatology under limited computing resources.
VI. ACKNOWLEDGEMENT
This research was supported by the National Natural Science Foundation of China (Nos. 62172336 and 62032018).
The authors gratefully acknowledge BrainChip Holdings Ltd. for providing technical support and the Akida AKD1000 hardware platform, whose powerful neuromorphic computing capabilities enabled strong performance of the SNN model.
The authors also extend their appreciation to Dr. Atif Mansoor, Dr. Bo Miao and their teams for their preliminary contributions to this research.
Cuccumin has done well with Lynas. Hats off to Ms Lacaze. I held them until it looked like the Malays were going to kick them out, and I had run out of readies down the back of the sofa to buy more BRN, so I sold Lynas. Spilt milk (didn't have a lot).
Tothemoon24
Top 20
FPGA Roundtable: Golden Dome Architecture – Accelerating Multi-Domain Defense
August 28 | 2 PM ET | Virtual Event
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Why Attend?
It’s not just about technology — it’s about aligning speed, adaptability, and secure decision-making to meet the demands of the modern battlespace. Our experts will show you how FPGA innovation is making it possible.
FPGA Roundtable: Golden Dome Architecture – Accelerating Multi-Domain Defense
August 28 | 2 PM ET | Virtual Event
Hosted with Military Embedded Systems
Speed. Adaptability. Secure, real-time decisions.
Join four leaders driving the next wave of defense innovation as they explore how FPGA architectures are transforming multi-domain operations.
Why Attend?
It’s not just about technology — it’s about aligning speed, adaptability, and secure decision-making to meet the demands of the modern battlespace. Our experts will show you how FPGA innovation is making it possible.
Frangipani
Top 20
This is what our CTO Tony Lewis thinks about OpenAI’s claim that “GPT-5 is significantly less likely to hallucinate than our previous models” (https://openai.com/index/introducing-gpt-5-for-developers/):
www.linkedin.com
OpenAI claims they have solved the hallucination problem with GPT5 | Charles H. Martin, PhD
OpenAI claims they have solved the hallucination problem with GPT5
smoothsailing18
Regular
Over 14,000 hits since released in 6 hours, something BRN should do in its next breakthrough.
Great marketing example IMO.
Last edited:
A big announcement...
...and then all you hear about are the many problems that still need to be solved.
Problems that BrainChip has long since solved.
I'm glad she's talking about a competitor!
14,000 clicks – interest in neuromorphic computing is increasing significantly!
Tothemoon24
Top 20
Sean did mention hearing aids sometime ago , hopefully another step or perhaps a leap has been made towards another of Sean’s comments
“
the financials “smoothsailing18
Regular
I agree, altho my point is referring to having this type of tool meaning , video used as a social media marketing for BRN.
Frangipani
Top 20
Less than two months ago, our then Regional Sales Manager in Taiwan, Edward Lien (who just announced that he had left our company) posted on LinkedIn that he were looking forward to attending 2025 Andes RISC-V CON Beijing:
I assume he was originally also scheduled to be the speaker representing BrainChip at that conference, which will take place on 27 August:
spot.eventx.io
If you had checked out the conference website over the past few days, you would have been greeted with this (screenshot taken on 6 August):
Earlier today, I noticed that the BrainChip logo has now been replaced with a photo of what appears to be a new Taipei-based hire called Jerry Kuo, who is described as a Solutions Architect at BrainChip.
This new position is, however, not yet reflected in what I believe to be his LinkedIn profile (despite not listing MediaTek as a former employer):
I assume he was originally also scheduled to be the speaker representing BrainChip at that conference, which will take place on 27 August:
ANDES RISC-V CON Beijing | EventX
AI 与车用科技快速演进，推动业界对高效运算与资安技术的高度需求。 RISC-V 凭借其开放、弹性与可扩充架构，正成为高性能运算领域的关键解决方案。
If you had checked out the conference website over the past few days, you would have been greeted with this (screenshot taken on 6 August):
Earlier today, I noticed that the BrainChip logo has now been replaced with a photo of what appears to be a new Taipei-based hire called Jerry Kuo, who is described as a Solutions Architect at BrainChip.
This new position is, however, not yet reflected in what I believe to be his LinkedIn profile (despite not listing MediaTek as a former employer):
Attachments
Frangipani
Top 20
Another fairly new employee - but based in the US - is Thang Pham, a Digital Design Engineer, who is concurrently working (now part-time) as a postdoc at BrainChip’s partner university ASU (Arizona State University). He holds a PhD in Electrical and Computer Engineering “with specialized expertise in digital IC design, spanning the ASIC flow from specification and architecture, RTL design, verification, to tape-out, and FPGA prototyping.”
Frangipani
Top 20
Akida gets a fleeting mention in the context of neuromorphic chips in a newly published paper by researchers from the University of Pisa and ESA’s ESTEC (European Space Research and Technology Centre) titled “Hardware Platforms Enabling Edge AI for Space Applications: A Critical Review”:
www.linkedin.com
(…)
(…)
(…)
Disappointingly, Akida is only mentioned once in context with the Mercedes-Benz Vision EQXX concept car (p.10) but neither as an example of neuromorphic hardware supporting on-chip learning (p.10) nor in context with Frontgrade Gaisler’s NEUROSPACE project (which is part of OSIP, ESA’s Open Space Innovation Platform, p.11) nor in connection with ANT61 (p.11, here the co-authors also failed to follow up on the launched satellite’s fate).
By the way: If you thought “Edge AI for Space Applications” were more or less synonymous with “Neuromorphic Edge AI” - think again and have a closer look at the paper…
It does, however, end on a positive future outlook for neuromorphic computing in space applications:
“The emerging neuromorphic computing represents a promising approach for on-chip learning, which may help to increase the accuracy and shorten model development. Using SNNs might be essential in autonomous deep space missions which have very constrained telecommunication capabilities.
Hardware is not the only crucial part of AI success in space: the reliability of AI algorithms, model training, and other obstacles, which have not been mentioned in this article, have a great impact on the successful deployment of AI algorithms in space applications.”
Hardware Platforms Enabling Edge AI for Space Applications: A Critical Review | Gabriela Mystkowska
🚀 Excited to share that my latest peer-reviewed article — "Hardware Platforms Enabling Edge AI for Space Applications: A Critical Review" — has just been published! 📝 In this work, we present a comprehensive state-of-the-art review of hardware architectures for AI on-the-edge in space missions...
(…)
(…)
(…)
Disappointingly, Akida is only mentioned once in context with the Mercedes-Benz Vision EQXX concept car (p.10) but neither as an example of neuromorphic hardware supporting on-chip learning (p.10) nor in context with Frontgrade Gaisler’s NEUROSPACE project (which is part of OSIP, ESA’s Open Space Innovation Platform, p.11) nor in connection with ANT61 (p.11, here the co-authors also failed to follow up on the launched satellite’s fate).
By the way: If you thought “Edge AI for Space Applications” were more or less synonymous with “Neuromorphic Edge AI” - think again and have a closer look at the paper…
It does, however, end on a positive future outlook for neuromorphic computing in space applications:
“The emerging neuromorphic computing represents a promising approach for on-chip learning, which may help to increase the accuracy and shorten model development. Using SNNs might be essential in autonomous deep space missions which have very constrained telecommunication capabilities.
Hardware is not the only crucial part of AI success in space: the reliability of AI algorithms, model training, and other obstacles, which have not been mentioned in this article, have a great impact on the successful deployment of AI algorithms in space applications.”
FPGAs are used for demonstrations and short run production which does not raise to the level of ASIC wafer production.
View attachment 89687
FPGA Roundtable: Golden Dome Architecture – Accelerating Multi-Domain Defense
August 28 | 2 PM ET | Virtual Event
Hosted with Military Embedded Systems
Speed. Adaptability. Secure, real-time decisions.
Join four leaders driving the next wave of defense innovation as they explore how FPGA architectures are transforming multi-domain operations.
Why Attend?
It’s not just about technology — it’s about aligning speed, adaptability, and secure decision-making to meet the demands of the modern battlespace. Our experts will show you how FPGA innovation is making it possible.
FPGA Roundtable: Golden Dome Architecture – Accelerating Multi-Domain Defense
August 28 | 2 PM ET | Virtual Event
Hosted with Military Embedded Systems
Speed. Adaptability. Secure, real-time decisions.
Join four leaders driving the next wave of defense innovation as they explore how FPGA architectures are transforming multi-domain operations.
Why Attend?
It’s not just about technology — it’s about aligning speed, adaptability, and secure decision-making to meet the demands of the modern battlespace. Our experts will show you how FPGA innovation is making it possible.
View attachment 89688
An individual FPGA chip would be more expensive than an individual ASIC chip.
"A beautiful set of numbers"
1000 analog neurons!!!
... plus a digital spiking fabric
... plus a CNN accelerator????
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