BRN Discussion Ongoing

manny100

Regular
Hi Bravo,

Rob Whyte's reference to hybrid architecture could encompass Qualcomm's hybrid architecture where AI loads are shared between CPU, GPU, and NPU depnding on the type of load.

https://www.qualcomm.com/content/da...I-with-an-NPU-and-heterogeneous-computing.pdf

As previously mentioned, most generative AI use cases can be categorized into on-demand, sustained, or pervasive. For on-demand applications, latency is the KPI since users do not want to wait. When these applications use small models, the CPU is usually the right choice. When models get bigger (e.g., billions of parameters), the GPU and NPU tend to be more appropriate. For sustained and pervasive use cases, in which battery life is vital and power efficiency is the critical factor, the NPU is the best option.


What this suggests to me is that Qualcomm do not have the confidence that Hexagon can handle all use cases competently.

A rider on that is that TL mentioned that Akida is moving to 16 bit, which indicates higher precision is required for some use cases - so it's coming down to a real arm wrestle.

I wonder what applications could require such precision.

I doubt it's cybersecurity because of the limited vocabulary and syntax.

Could it be for AFRL micro-doppler radar? In MDR, you are looking for very small variations in the frequency of the reflected radar signal.

https://www.aumanufacturing.com.au/brainchips-human-like-ai-wins-it-us-air-force-radar-contract 20241210

The AFRL MDR article mentions TENNs, which can be implemented as an algorithm, but we have been told that Akida and TENNs are better together.

Late edition:
On the other hand, $1.8M is pretty mingy for developing a 16-bit version of Akida.
Sean in the podcast said the US AFRL was about TENNs. No mention of AKIDA.
Bascom as we know for the Navy is AKIDA1000 and now for other Bascom/Navy products the 1500 and no mention of TENNs.
Not sure why the US AFRL is not going with AKIDA as well????
 
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The Pope

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I reckon you would really enjoy this interview, ( if you haven't already seen it )
Palmer Luckey ( Anduril founder ) 32 years old.
Just took over $22 Billion IVAS contract from Microsoft 4 days ago.
Started Occulus when he was 19.
After watching this, I'm just praying that he's aware of BrainChip
Would be nice to have this bloke on side.


Thanks for sharing Taproot, I just got around to watching this over the last couple of days..

This guy is a visionary and really is a Real Life "Tony Stark" (although he still needs to work on the look a bit..)

Screenshot_20250220-214814_Gallery.jpg


Anduril, is going to be a defence contractor to watch and he is definitely open to working with "the little guy" knowing his views on his opportunities as a teenager.

He would have to be aware of us, but if he hasn't "played" with our tech specifically, I would want us to be sending him some chips etc..

AKIDA and TENNs, would definitely help him achieve and improve the things he is up to and I think his Company, will be a Big Player in the Future.

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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Diogenese

Top 20
Sounds promising!
  • Build and maintain strong relationships with key SOC customers, understanding their needs and providing tailored IP solution
Footware already?

I prefer the thong and sock look myself, but in the cold weather I go for budgie smugglers.
 
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yogi

Regular
@Diogenese @uiux you guys might be able to help us understand on below which was posted on LinkedIn as one of the guy coment on BrB and the answer below got me confused.


Peter Sillan you bring up good points, and highlight the key gap to realizing this groundswell : a lack of available, usable, interoperable hashtag#neuromorphic Silicon

But are you sure BrainChip is neuromorphic? To date only their marketing material says so. In disclosures at NICE, ICONS last year their CTO opened the kimono a little, and conceded that they’re really just an Event-based General Matrix Engine (ie more CNN than SNN) pipeline - although not sure if he still has CTO role, he was a new hire trying to be more transparent.

To be clear : event-based is a forward step, but maybe one of the smallest pieces of the key Neuromorphic advances, but the published brainchip patents only show changes that are more incremental, than revolutionary. And even for that, they’ve had to “roll their own” TENN. So it’s clearly an uphill battle to do just this, as a one-off chip maker, solo solution.

But if intellectually honest, just event-based but still systolic array fmac engine, is not a big differentiation from today’s GPU/TPU/AI chip arch.

An independent view of the landscape I would refer you to Catherine Schuman’s excellent paper
 
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Frangipani

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JoMo68

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@Diogenese @uiux you guys might be able to help us understand on below which was posted on LinkedIn as one of the guy coment on BrB and the answer below got me confused.


Peter Sillan you bring up good points, and highlight the key gap to realizing this groundswell : a lack of available, usable, interoperable hashtag#neuromorphic Silicon

But are you sure BrainChip is neuromorphic? To date only their marketing material says so. In disclosures at NICE, ICONS last year their CTO opened the kimono a little, and conceded that they’re really just an Event-based General Matrix Engine (ie more CNN than SNN) pipeline - although not sure if he still has CTO role, he was a new hire trying to be more transparent.

To be clear : event-based is a forward step, but maybe one of the smallest pieces of the key Neuromorphic advances, but the published brainchip patents only show changes that are more incremental, than revolutionary. And even for that, they’ve had to “roll their own” TENN. So it’s clearly an uphill battle to do just this, as a one-off chip maker, solo solution.

But if intellectually honest, just event-based but still systolic array fmac engine, is not a big differentiation from today’s GPU/TPU/AI chip arch.

An independent view of the landscape I would refer you to Catherine Schuman’s excellent paper
That guy again… He had a crack at BrainChip a few months on LinkedIn. Same thing - querying whether we were neuromorphic and implying we were shysters. Tony Lewis replied from memory. Tony needs to contact him and put him straight. This guy could be doing a lot of damage if he his circulating doubt and mistruths.
 
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I have Cut and pasted the above and … sent to Tony today
 
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charles2

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View attachment 77841
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Perhaps a weakness as I can be overly impressed by academic accolades but graduating in the top 5% at Williams College is no humdrum accomplishment as Williams is the highest ranked small college in the US....although those from Amherst might disagree.

I considered applying there but quickly realized my folly.

The bottom 5% was already spoken for.
 
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Mccabe84

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Screenshot_20250221_102536_Samsung Internet.jpg

Increase in Shorts. Possibly due to knowing the 20 million share deal with LDA..
 
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Esq.111

Fascinatingly Intuitive.
Good Morning Chippers ,

Going to go out on a limb here , going with a SOLID GREEN close today.

A , volume building on Buy side again,

B , As of last Friday 14th , BRN short position is rising , stood at 71,859,259 shares shorted or 3.65%. , according to ShortMan.com

& C , Very much looking forward to extracting this from our ass. Believe this is an apt depiction of a shorter plying its trade on our stock , deeply lodged with no idea .

The Epic History of the Wall Street Bull — Piccola New Yorker Special Trips


Regards,
Esq.
 
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Mccabe84

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After some quick calculations Vanguard owns over 44 millions shares in BRN
 

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Esq.111

Fascinatingly Intuitive.
HERE WE GO LADIES & GENTILMEN

BOOOOM
65,200+ Macaw Stock Photos, Pictures ...
 
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Iseki

Regular
I'm loving these TENNS + Akida2, as there is so many things you can do with it. Things like
  • Predict whether a patient, hospitalized due to a heart attack, will have a second heart attack. The prediction is to be based on demographic, diet and clinical measurements for that patient.
  • Predict the price of a stock in 6 months from now, on the basis of company performance measures and economic data.
  • Estimate the amount of glucose in the blood of a diabetic person, from the infrared absorption spectrum of that person’s blood.
  • Identify the risk factors for prostate cancer, based on clinical and demographic variables.
  • Predict whether a CEO will announce an IP license this year, if they haven't done so in the previous year, where the IP is based on new research.
  • Predict whether a remuneration report will be voted down this year, if it has been voted down in a previous year.
  • Predict what lack of stock price performance will result in the CEO leaving.
 
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Lolci

Emerged
I'm loving these TENNS + Akida2, as there is so many things you can do with it. Things like
  • Predict whether a patient, hospitalized due to a heart attack, will have a second heart attack. The prediction is to be based on demographic, diet and clinical measurements for that patient.
  • Predict the price of a stock in 6 months from now, on the basis of company performance measures and economic data.
  • Estimate the amount of glucose in the blood of a diabetic person, from the infrared absorption spectrum of that person’s blood.
  • Identify the risk factors for prostate cancer, based on clinical and demographic variables.
  • Predict whether a CEO will announce an IP license this year, if they haven't done so in the previous year, where the IP is based on new research.
  • Predict whether a remuneration report will be voted down this year, if it has been voted down in a previous year.
  • Predict what lack of stock price performance will result in the CEO leaving.
Will you be back in June to buy the dip?
1740101527885.jpeg
 

Bravo

If ARM was an arm, BRN would be its biceps💪!
Our partner, Tata Elxsi, has partnered with Garuda Aerospace for innovation in unmanned technology.




ication Name: Aviation-defence-universe.com
Date: February 17, 2025

Indigenous UAVs: Strengthening India’s Aerospace Capabilities and Defence Readiness​

Indigenous UAVs: Strengthening India’s Aerospace Capabilities and Defence Readiness

  • Tata Elxsi’s partners with Garuda Aerospace for innovation in unmanned technology
Bangalore: 17 February 2025: “By focusing on indigenization, certification, and regulatory compliance, we can ensure that India’s drone technology is aligned with global standards while reducing dependency on foreign suppliers. These advancements will not only bolster India’s defense sector but also enable commercial applications in surveillance, disaster response, and precision agriculture. This partnership therefore reflects a broader push toward making India a leader in aerospace innovation, leveraging AI-driven solutions for both military and civilian applications,” stated Jayaraj Rajapandian, Head of Aerospace, Rail & Off-highway, Tata Elxsi, in an exclusive interview with Aviation & Defence Universe (ADU).
ADU: How can the drone industry leverage AI and machine learning to achieve greater efficiency and cost-effectiveness?
Jayaraj Rajapandian:
AI and ML are transforming the aviation industry by enhancing automation, operational efficiency, and cost-effectiveness. AI-powered autonomous solutions enables drones to autonomously adapt to environmental conditions, improving safety and precision in applications such as surveillance, agriculture, and logistics. Machine learning models help optimize flight paths, reducing energy consumption and extending battery life, which is crucial for commercial and defense applications.
Additionally, AI-driven predictive maintenance allows for early detection of component failures, reducing downtime and repair costs. Advanced computer vision techniques enable drones to identify objects, track movements, and process real-time data for enhanced situational awareness.

In Tata Elxsi’s collaboration with Garuda Aerospace, AI plays a critical role in structural design optimization and battery management. AI-driven analytics ensure optimal power distribution, enhancing drone endurance and efficiency. By integrating intelligent automation and data-driven insights, the industry can achieve scalable, cost-efficient drone operations. This shift is particularly significant for large-scale applications defense, eCommerce, transportation and utility services where AI-powered drones can operate autonomously with minimal human intervention.
ADU: What are the major indigenous development initiatives that can help advance India’s AI capabilities for defense and economic purposes?
Jayaraj Rajapandian:
India is taking significant steps to strengthen its AI capabilities through various indigenous initiatives. The Defense AI Council (DAIC), under the Ministry of Defense, is spearheading AI-driven military applications, including autonomous surveillance, predictive analytics, and AI-powered cybersecurity measures. The Defense Research and Development Organization (DRDO) is actively investing in AI-based unmanned systems, focusing on smart weaponry, autonomous reconnaissance, and AI-enhanced battlefield decision-making.
On the economic front, the National AI Strategy (NITI Aayog) and the IndiaAI Mission are fostering AI research and startup ecosystems, promoting AI-driven solutions in healthcare, agriculture, and infrastructure. The Make in India and Startup India initiatives further encourage the development of AI-powered indigenous technologies, reducing dependence on foreign solutions. These initiatives are strongly backed up by the annual budget allocated and the priority set by the government of India.
Tata Elxsi’s collaboration with Garuda Aerospace aligns with these national priorities, emphasizing self-reliance in drone technology. Our work on AI-powered UAVs supports both defense and commercial applications, boosting India’s aerospace sector with homegrown innovation. By focusing on indigenization, certification, and AI-driven automation, these partnerships are integral to enhance India’s long-term technological and strategic objectives.
ADU: What are the implications of autonomous systems in the future of eVTOL?
Jayaraj Rajapandian:
Autonomous systems are set to redefine urban mobility, introducing safer, more efficient, and sustainable transportation solutions. AI-powered drones and autonomous vehicles will play a pivotal role in logistics, emergency response, and infrastructure monitoring. In smart cities, autonomous drones can streamline last-mile delivery, optimize traffic flow through aerial monitoring, and enhance law enforcement capabilities with real-time surveillance.
A key challenge in integrating autonomous systems is regulatory compliance and public safety. AI-driven traffic management systems will need to coordinate with ground and air transport networks to prevent congestion through resolving conflicts and ensure operational efficiency. Battery technology and energy optimization will be critical in ensuring the long-term feasibility of autonomous mobility.
Our collaboration with Garuda Aerospace incorporates our expertise in AI-driven navigation and battery management to the development of drones that can integrate seamlessly into urban airspace. Future advancements in eVTOL (Electric Vertical Takeoff and Landing) drones and AI-driven fleet management could pave the way for aerial ridesharing, significantly altering the urban mobility landscape.
ADU: In light of their collaboration with Garuda Aerospace, how will Tata Elxsi’s focus on structural design and battery management help enhance India’s aerospace sector?
Jayaraj Rajapandian:
Tata Elxsi’s partnership with Garuda Aerospace is a step toward strengthening India’s aerospace capabilities through innovation in UAV technology. Structural design improvements are crucial in making drones lighter, more aerodynamic, and capable of carrying higher payloads. Our expertise in materials engineering ensures that drones are optimized for durability, efficiency, and high-performance operations across sectors such as defense, security, agriculture, and logistics.
Battery management is another critical area where AI-driven solutions enhance efficiency. Tata Elxsi’s advanced power optimization strategies help extend battery life, reduce charging time, and improve overall drone performance. AI-powered battery monitoring systems enable predictive analytics, ensuring minimal downtime and longer operational cycles.
ADU: How can India balance the potential benefits of AI and ML in defense with the need to address concerns related to data privacy, cybersecurity, and autonomous weapons systems?
Jayaraj Rajapandian:
The increasing reliance on AI and ML in defense presents both opportunities and challenges. While AI-driven autonomous systems enhance surveillance, threat detection, and combat efficiency, they also raise concerns about data privacy, cybersecurity, and ethical considerations surrounding autonomous weapons.
India can address these challenges by adopting a multi-layered AI governance approach that includes regulatory oversight, ethical AI frameworks, and strict cybersecurity protocols. The government is already working on the National AI Policy to establish guidelines on responsible AI usage. Additionally, human-in-the-loop systems, where human operators oversee AI-driven decisions, can ensure ethical deployment in defense applications.
Cybersecurity remains a top priority, as AI-powered defense systems are vulnerable to cyber threats. Implementing end-to-end encryption, secure AI training datasets, and robust firewall mechanisms can mitigate risks. AI explainability and accountability frameworks should also be integrated to ensure that AI-driven decisions are transparent and traceable.
Tata Elxsi’s focus on AI-powered aerospace solutions aligns with this balanced approach. Our emphasis on secure AI implementation, compliance with defense regulations, and human-assisted automation ensures that AI-driven defense solutions are both effective and ethically responsible. By maintaining a strong regulatory and technological framework, India can harness AI’s full potential while safeguarding national security.
 
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