Baneino
Regular
War es in der Vergangenheit möglich, dass ein Aktienkurs innerhalb eines Jahres von 20 Cent auf 8,00 Dollar stieg?
BRN Discussion Ongoing
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Fullmoonfever
Top 20
Nice results....bit better that Loihi head to head in the same experiments.
Paper being presented at:
2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS)
August 10-13, 2025, Lansing, MI, USA
Paper being presented at:
2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS)
August 10-13, 2025, Lansing, MI, USA
| 13:30-13:45, Paper TueLecB04.1 | |
| Ultra-Efficient Network Intrusion Detection Implemented on Spiking Neural Network Hardware (I) | |
| Islam, Rashedul | University of Dayton |
| Yakopcic, Chris | University of Dayton |
| Rahman, Nayim | University of Dayton |
| Alam, Shahanur | University of Dayton |
| Taha, Tarek | University of Dayton |
| Keywords: Neuromorphic System Algorithms and Applications, Machine Learning at the Edge, Other Neural and Neuromorphic Circuits and Systems Topics Abstract: Network intrusion detection is crucial for securing data transmission against cyber threats. Traditional anomaly detection systems use computationally intensive models, with CPUs and GPUs consuming excessive power during training and testing. Such systems are impractical for battery-operated devices and IoT sensors, which require low-power solutions. As energy efficiency becomes a key concern, analyzing network intrusion datasets on low-power hardware is vital. This paper implements a low-power anomaly detection system on Intel’s Loihi and Brainchip’s Akida neuromorphic processors. The model was trained on a CPU, with weights deployed on the processors. Three experiments—binary classification, attack class classification, and attack type classification—are conducted. We achieved approximately 98.1% accuracy on Akida and 94% on Loihi in all experiments while consuming just 3 to 6 microjoules per inference. Also, a comparative analysis with the Raspberry Pi 3 and Asus Tinker Board is performed. To the best of our knowledge, this is the first performance analysis of low power anomaly detection based on spiking neural network hardware. |
AI insights: Mechanistic interpretability, Figma's app builder, SecurityPal, BrainChip's models, Google's Gemini 2.5 | Ed Freeman posted on the topic | LinkedIn
This is a bit of an experiment. I am using AI to collect and summarize recent articles on AI, and pull out the five most important insights. 1. Mechanistic interpretability provides a deeper understanding of neural networks by tracing feature evolution within layers, contrasting with...
State Space Models Can Enable AI in Low-Power Edge Computing
At the the 2025 Embedded Vision Summit, Tony Lewis, chief technology officer at BrainChip, presented research done by his company into state space models (SSMs) and how they can provide LLM capabilities with very low power consumption in limited computing environments, such as those found on...
TheDrooben
Pretty Pretty Pretty Pretty Good
BRE. A black signal company got bought out by a larger company last year. They obviously liked what they saw!
Parsons CEO lays out rationale for $200M BlackSignal buy
Investors always ask about revenue synergies and pathways for growth whenever a company makes an acquisition. They asked CEO Carey Smith what Parsons sees in this purchase and she gave her view.www.washingtontechnology.com
I’m as happy as Larry to have an even bigger company with more resources potentially including Akida in their projects.
Frangipani
Top 20
When googling for “Brainchip Akida” the other day, I stumbled across an Interesting Engineering article titled “Can an AI chip that mimics the brain beat the data deluge?”, but couldn’t access it at the time, because it was behind a paywall. (IMO it makes far more sense to spend the equivalent of that 1 US$ on half a dozen BRN shares right now…)
Today I discovered a link on the BrainChip website under Investor Relations that will take you to a PDF document created by Sarah Marker from Bospar (our new PR & Marketing Agency), which contains screenshots of that same article:
investor.brainchip.com
“Brain-inspired chips slash AI power to micro-joules, but 8-bit limits and tooling gaps keep neuromorphic tech niche, for now.”
Learn more
…which links to…
She (or whoever else took those screenshots) unfortunately cut off some lines of text on each page, so in case we have any IE subscribers here on TSE, they may want to double-check whether we missed out on anything important.
This article - based on an interview with our CMO Steve Brightfield - should serve as a reality check to those shareholders who see virtually everything about BRN through rose-coloured glasses.
One challenge relating to the adoption of neuromorphic technology is that certain applications benefit more than others:
“It is important to note that the power savings are dramatic only in high sparsity scenarios such as static security cameras, sparse sensor data, and anomaly detection. ‘If the scene is a very active video feed with significant motion, resulting in low sparsity, you can expect considerably less savings,’ Brightfield cautioned.”
The last paragraph, where Steve Brightfield is quoted as saying “We’re still in the early stages of understanding how to best leverage neuromorphic architectures”,
might also be rather sobering for quite a few (especially long-term) shareholders. Our CMO then added: “The real test will be whether these efficiency gains can translate into broader applications as the technology matures.”
Now does that sound like our Chief Marketing Officer were talking about our company as being entirely de-risked and about imminent “generational wealth” for shareholders? Or is it rather an honest and realistic assessment of BrainChip’s current market position?
Today I discovered a link on the BrainChip website under Investor Relations that will take you to a PDF document created by Sarah Marker from Bospar (our new PR & Marketing Agency), which contains screenshots of that same article:
BrainChip’s Neuromorphic Energy-Efficient Computing
Explore BrainChip’s neuromorphic Akida™ processor, delivering ultra-low power, event-based AI for efficient edge computing applications.
investor.brainchip.com
“Brain-inspired chips slash AI power to micro-joules, but 8-bit limits and tooling gaps keep neuromorphic tech niche, for now.”
Learn more
…which links to…
She (or whoever else took those screenshots) unfortunately cut off some lines of text on each page, so in case we have any IE subscribers here on TSE, they may want to double-check whether we missed out on anything important.
This article - based on an interview with our CMO Steve Brightfield - should serve as a reality check to those shareholders who see virtually everything about BRN through rose-coloured glasses.
One challenge relating to the adoption of neuromorphic technology is that certain applications benefit more than others:
“It is important to note that the power savings are dramatic only in high sparsity scenarios such as static security cameras, sparse sensor data, and anomaly detection. ‘If the scene is a very active video feed with significant motion, resulting in low sparsity, you can expect considerably less savings,’ Brightfield cautioned.”
The last paragraph, where Steve Brightfield is quoted as saying “We’re still in the early stages of understanding how to best leverage neuromorphic architectures”,
might also be rather sobering for quite a few (especially long-term) shareholders. Our CMO then added: “The real test will be whether these efficiency gains can translate into broader applications as the technology matures.”
Now does that sound like our Chief Marketing Officer were talking about our company as being entirely de-risked and about imminent “generational wealth” for shareholders? Or is it rather an honest and realistic assessment of BrainChip’s current market position?
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smoothsailing18
Regular
Imminent success IMO even with all the delays and negative spin brainchips models will be integrated into devices in mass scale thanks to the hard work of the team. Clearly neuromorphic compute has had huge hurdles being successful due to the one trick pony analogy which is now behind us. The recent Edge conference it was clear the competition is all around us however brn has come along way and we will see the rewards over the next 12 months IMO.
Go brainchip
Go brainchip
Frangipani
Top 20
And yet, less than a week earlier, one of the co-authors, Tarek Taha, will be presenting a differently titled paper by the same group of University of Dayton researchers (plus Simon Khan from AFRL), in which they state that a comparative analysis of their “low-power anomaly detection system for Controller Area Network (CAN)” on Akida and Loihi showed that “Loihi consumes about 91 times less power than Akida”.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-457988
By the way, those University of Dayton researchers are long-time collaborators and co-authors of Steven Harbour from Parallax Advanced Research (headquartered in the same city, namely Dayton, OH), dating back to the time when he was still working at Southwest Research Institute.
In this 29 April article about the Future of Neuromorphic AI in Electronic Warfare, Steven Harbour not only confirms a partnership between Parallax Advanced Research and Intel (no surprise here, as he already used to collaborate with them closely for years while at SwRI), but also one between Parallax Advanced Research and BrainChip:
Parallax Advanced Research and the Future of Neuromorphic Artificial Intelligence in Electronic Warfare
Published on
Apr 29, 2025
The convergence of artificial intelligence and defense technologies is poised to redefine the future of electronic warfare (EW). This shift, driven by third-generation AI techniques like spiking neural networks (SNN) and neuromorphic research, represents a critical step forward in equipping the U.S. military with innovative and adaptable solutions. We spoke with Dr. Steven Harbour, Parallax Advanced Research director of AI Hardware Research and a leading expert in neuromorphic research, to explore how his team is advancing AI capabilities and addressing emerging challenges in defense.
Parallax Advanced Research and Southwest Research Institute (SwRI) EW Team; left to right: Mr. Justin S. Tieman, Principal Engineer, SwRI; Mr. Keith G. Dufford, Senior Program Manager, SwRI; Mr. David A. Brown, Institute Engineer; and Director AI Hardware Research and Neuromorphic Center of Excellence, Parallax; Dr. Steven D. Harbour
Exploring AI’s Next Frontier
Traditional AI excels in tasks it has been trained on, demonstrating precision in recognizing familiar patterns and processing expected queries. However, Harbour highlights a significant limitation: AI's brittleness when confronted with the unexpected.
Humans, on the other hand, adapt to the unknown through cognitive problem-solving, a capability that AI systems must emulate to address future challenges effectively.
SNNs, inspired by the human brain’s functionality, offer a promising solution. Unlike traditional feedforward neural networks rooted in inferential statistics, SNNs excel in rapid decision-making under uncertainty, making them particularly suited for dynamic environments like electronic warfare.
Scaling Neuromorphic Systems
Parallax is at the forefront of advancing third-generation AI algorithms, partnering with Intel and Brainchip to develop scalable neuromorphic hardware.
In terms of deployment, neuromorphic processors can be integrated into existing electronic countermeasure (ECM) pods, widely used in both Air Force and Navy operations. These pods, which are part of strike packages including crewed and uncrewed aircraft, offer a clear pathway for fielding these advanced systems across the Department of Defense (DoD).
@Baneino
DWave had Advantage2 and a revenue fireworks show…. that pulls the stock up. BrainChip so far is more like TENNS here, pico there… partners testing this and that… but still no big bang. We’d need that first before it takes off DWave style. And even then… who knows if it would explode like that… I wouldn’t bet on it. But would wish
DWave had Advantage2 and a revenue fireworks show…. that pulls the stock up. BrainChip so far is more like TENNS here, pico there… partners testing this and that… but still no big bang. We’d need that first before it takes off DWave style. And even then… who knows if it would explode like that… I wouldn’t bet on it. But would wish
My guess is that Akida can be the front end of agentic.
If Akida also had motor neurons, it would be agentic.
uiux
Regular
Generative AI is agentic
If I went short on this stock right now, the damn price would shoot straight to the moon….I’d bet my Lamborghini, still gathering dust at the dealer, on it. That’s not Murphy’s Law… that’s the classic “7for7 on your nerves phenomenon”… a timeless tradition when it comes to penny stocks.
HopalongPetrovski
I'm Spartacus!
Do it!If I went short on this stock right now, the damn price would shoot straight to the moon….I’d bet my Lamborghini, still gathering dust at the dealer, on it. That’s not Murphy’s Law… that’s the classic “7for7 on your nerves phenomenon”… a timeless tradition when it comes to penny stocks.
Noooo…. No nononooooooDo it!
It’s waiting …. I can see it.. it’s just waiting to see if Im stupid enough…. Nono Nonooooo
Look at the bull after I make the wrong decision…
HopalongPetrovski
I'm Spartacus!
That bull turned on a dime and Butman got just what he deserved.Noooo…. No nononoooooo
It’s waiting …. I can see it.. it’s just waiting to see if Im stupid enough…. Nono Nonooooo
Look at the bull after I make the wrong decision…
Do it!
FU…. IT…… I did it!!! Come on!!! Skyrocket NOOOOOOW COME OOOONNNN
(Attention it’s just a fake AI generated version)
You're gonna need a bigger pole.Noooo…. No nononoooooo
It’s waiting …. I can see it.. it’s just waiting to see if Im stupid enough…. Nono Nonooooo
Look at the bull after I make the wrong decision…
Artificial intelligence behind 12,000 TCS job cuts? CEO K Krithivasan breaks silence
Tata Consultancy Services' decision to lay off about 2%, or 12,261 employees will primarily impact senior and middle-level employees.| India News
www.hindustantimes.com
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