BRN Discussion Ongoing

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

Observer
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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Diogenese

Top 20
@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
Hi Baisyet,

It looks like the writer has not delved too deeply into the workings of Akida beyond the BrainCHip marketing material, and has limited understanding of its architecture or functionality. .

A couple of things:

A. Some people reserve the term "neuromorphic" for analog neurons, whereas Akida is digital.

Akida implements the functionality of real neurons in a digital embodiment which eliminates the manufacturing reproducability problems inherent in analog implementations.

Analog neurons more closely imitate the electric function of real neurons by accumulating current from a plurality ofconnected neurons in a capacitor.

1740136983466.png


Live neurons accumulate electric charges from other neurons until a firing threshold is reached.

Bias and weight are determined by the Model (the reference database of images, words, …)

Activations are the input spikes/events.

MemRistors/ReRAM are used in other forms of analog SNNs.

The Zener diode blocks current until the input voltage across the capacitor exceeds the Zener threshold voltage.

Due to manufacturing variability, the accuracy of analog neurons causes significant errors, and any analog neuron system needs some form of error correction.

Akida is digital, not analog, so it does not have this problem.

B. Akida's "event based" NN is an enhanced spiking NN.

Akida initially operated with 1-bit weights and activations, with the single bit corresponding to a "spike". However early access programme (EAP) feedback indicated a need for greater precision, so the production version of Akida 1 was adapted to handle 1, 2, or 4-bit activations and weights.

This is a patent which illustrates Akida's digital neuron:

WO2020092691A1 AN IMPROVED SPIKING NEURAL NETWORK

1740101592677.png


The term "event" thus encompasses both single bit and multi-bit weights/acivations. Adding multi-bit capability has increased the versatility of Akida 1. Choosing the 1-bit mode provides both minimal latency and minimal power consumption - ideal for watchhdog/wake applications and other applications whichdo not demand high precision. The 4-bit mode provides much greater precision, at the expense of increased power consumption.

Akida 2 has further enhanced the range of applications by inluding 8-bit input activations and weights, and a 16-bit implementation has been foreshadowed.
 
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His page ( discussion above ) has been advised to have a listen to BRN Technical podcast
 

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7für7

Top 20
HERE WE GO LADIES & GENTILMEN

BOOOOM
65,200+ Macaw Stock Photos, Pictures ...
Hey ESQ,

Not sure if you are watching the same company as we do… let’s make a quick check BRAINCHIP INC.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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Esq.111

Fascinatingly Intuitive.
Evening 7fur7 ,

Volumes & charts were looking promising, silly me , thought our manigement may of provided... followed through , with a little something extra whilst on their shareholder funded excursion in Taiwan .

Sean must have had the fugu again , reverses one's senses if prepared the wrong way , who knows what runs through this chaps head, obviously share price dose not.

Regards,
Esq.
 
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Esq.111

Fascinatingly Intuitive.
Evening 7fur7 ,

Volumes & charts were looking promising, silly me , thought our manigement may of provided... followed through , with a little something extra whilst on their shareholder funded excursion in Taiwan .

Sean must have had the fugu again , reverses one's senses if prepared the wrong way , who knows what runs through this chaps head, obviously share price dose not.

Regards,
Esq
Are you Arielstar in disguise

View attachment 77852
Evening Pom ,

Was set up , but alas , foiled by degenerats .

What more can one say......



Regards,
Esq.
 
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yogi

Regular
Hi Baisyet,

It looks like the writer has not delved too deeply into the workings of Akida beyond the BrainCHip marketing material, and has limited understanding of its architecture or functionality. .

A couple of things:

A. Some people reserve the term "neuromorphic" for analog neurons, whereas Akida is digital.

Akida implements the functionality of real neurons in a digital embodiment which eliminates the manufacturing reproducability problems inherent in analog implementations.

Analog neurons more closely imitate the electric function of real neurons by accumulating current from a plurality ofconnected neurons in a capacitor.

View attachment 77853

Live neurons accumulate electric charges from other neurons until a firing threshold is reached.

Bias and weight are determined by the Model (the reference database of images, words, …)

Activations are the input spikes/events.

MemRistors/ReRAM are used in other forms of analog SNNs.

The Zener diode blocks current until the input voltage across the capacitor exceeds the Zener threshold voltage.

Due to manufacturing variability, the accuracy of analog neurons causes significant errors, and any analog neuron system needs some form of error correction.

Akida is digital, not analog, so it does not have this problem.

B. Akida's "event based" NN is an enhanced spiking NN.

Akida initially operated with 1-bit weights and activations, with the single bit corresponding to a "spike". However early access programme (EAP) feedback indicated a need for greater precision, so the production version of Akida 1 was adapted to hendle 1, 2, or 4-bit activations and weights.

This is a patent which illustrtes Akida'sdigital neuron:

WO2020092691A1 AN IMPROVED SPIKING NEURAL NETWORK

View attachment 77855

The term "event" thus encompasses both single bit and multi-bit weights/acivations. Adding multi-bit capability has increased the versatility of Akida 1. Choosing the 1-bit mode provides both minimal latency and minimal power consumption - ideal for watchhdog/wake applications and other applications whichdo not demand high precision. The 4-bit mode provides much greater precision, at the expense of increased power consumption.

Akida 2 has further enhanced the range of applications by inluding 8-bit input activations and weights, and a 16-bit implementation has been foreshadowed.
Hi @Diogenese Thank you very much for educating much appreciated
 
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yogi

Regular
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.
Hi @JoMo68 Yes that was my thinking not a good look if he does it over and over again. He should be called in for sure.
 
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Frangipani

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CHIPS

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Bravo

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

Intriguingly, Ball Aerospace have an established partnership with the AFRL collaborating on various research and development projects. In 2021, Ball Aerospace, in collaboration with Booz Allen Hamilton, secured a contract under AFRL's Trusted and Elastic Military Platforms and Electronic Warfare System Technologies (TEMPEST) program. This initiative focuses on developing cybersecurity tools to bolster the resilience of Air Force weapon systems against cyberattacks.

As per @manny100's post yesterday when he said regarding the recent podcast with Sean, "when talking about the about the US AFRL contract and the unnamed defence contractor BRN is working closely with, he made it clear that this creates other opportunities for BRN".

I wonder if other opportunities or application use cases that the AFRL are looking into might be cybersecurity related?

View attachment 77816



View attachment 77819




LinkedIn post 1 month ago...

View attachment 77817



And then, there's also this...

View attachment 77821

Screenshot 2025-02-22 at 10.15.15 am.png




EXTRACT ONLY

Mimicking the human brain: neuromorphic computing​


If quantum computing is still some way off production, neuromorphic computing is closer to deployment.

Neuromorphic computing sets out to copy the processes of the human brain in a “spiking neural network”. Existing neural networks, widely used in AI, operate with a constant flow of information. Spiking neural networks, or SNNs, send data in short bursts and add timing to their operations, in a manner closer to the human brain. This makes them more efficient and potentially, more powerful.

The British defense and engineering giant BAE Systems has flagged neuromorphic computing as one of the trends to watch over the coming year.

“Neuromorphic computing will become increasingly important in 2025 and beyond, particularly as AI demands more from computing than ever before,” Rob Wythe, the company’s chief technologist, wrote in BAE’s 2025 technology predictions.

Wythe suggests that SNNs could make AI decisions more defensible, because neuromorphic systems organise themselves into patterns which are easier to understand than the “black box” approach of current AI decisions. And neuromorphic systems could find a role in AI at the edge, where access to vast systems running LLMs is not an option.

“Neuromorphic chips can provide an answer here, by delivering a low power and highly constrained weight, size, power and cost environment,” notes Wythe.

It is easy to see why this would be useful for a defence and aerospace manufacturer such as BAE, given the growing interest in AI systems for military applications such as autonomous weapons systems. But there are wider applications too.

Edge AI is highlighted as a potential use for neuromorphic computing by researchers at IBM. They see its lower power consumption as a way to put AI into devices from smart phones to drones, and in IoT hardware. IBM also sees the technology being used in autonomous vehicles, robotics, and even cybersecurity.

As Wythe hinted, neuromorphic computing could also unlock far more energy efficient computation, similar to the incredible energy efficiency of the human brain. The US National Institute of Standards and Technology (NIST) states that our brains can perform the equivalent of an exaflop using just 20W.

But, as with quantum technology, neuromorphic systems are not yet available. IBM cautions that standards, programming languages and APIs for neuromorphic systems still need to evolve.

At BAE, Wythe anticipates neuromorphic technology shipping as a hybrid architecture. Systems will have dedicated neuromorphic (or quantum) chips or cards, each playing to their own strength, rather as current systems make use of both CPUs and GPUs. Even so, it is not too soon for CIOs and CTOs to start assessing their potential.

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
1faf2342a8280349df880009e986ab61.gif




Errr...Wow! Some interesting news here on Veritone that their AI solutions are now available on the DoD’s premiere AI procurement marketplace.

Could it be possible that we are involved in this in some way?

On 25 April 2018 BrainChip announced that it had signed an agreement with Veritone to integrate its AI-powered BrainChip Studio with the Veritone aiWARE™ platform.

In BrainChip's December 2018 Quarterly Update Report it states" the arrangement with Veritone provides BrainChip with potential revenue resulting from the frequency and duration with which Vertone's customers use the BrainChip studio tool".






Veritone Achieves “Awardable” Status on DoD’s Tradewinds Solutions Marketplace with Three AI Solutions

Veritone’s AI solutions available on the DoD’s premiere AI procurement marketplace, accelerating access to investigative tools and supporting compliance with freedom of information requirements
February 20, 2025 07:00 AM Eastern Standard Time
DENVER--(BUSINESS WIRE)--Veritone, Inc. (NASDAQ: VERI), a leader in building human-centered enterprise AI solutions, today announced that it has achieved “Awardable” status through the Chief Digital and Artificial Intelligence Office’s (CDAO) Tradewinds Solutions Marketplace. Veritone’s Illuminate, Redact and Track applications have been added to the Tradewinds Marketplace.
“Achieving ‘Awardable’ status on the Tradewinds Solutions Marketplace is a testament to Veritone’s commitment to delivering AI solutions that enhance national security, investigative workflows and intelligence operations”
Post this
The Tradewinds Solutions Marketplace is the premiere offering of Tradewinds, the Department of Defense’s suite of tools and services designed to accelerate the procurement and adoption of Artificial Intelligence (AI)/Machine Learning (ML), data and analytics capabilities from organizations including Veritone.
Veritone’s solutions now available on Tradewinds include:
Illuminate: an AI-powered investigative and analytics tool that helps organizations search, analyze and manage vast amounts of video, audio and text-based data. It aids legal, compliance and investigative teams that need to quickly process structured and unstructured data for litigation, regulatory reviews and internal investigations.
Redact: an AI-powered redaction solution that automates the redaction of sensitive information within audio, video and image-based evidence. It is widely used by law enforcement, legal teams, media organizations and government agencies to comply with privacy laws and public records requests (FOIA).
Track: an AI-powered digital video analytics tool that enables tracking of individuals and vehicles across multiple video sources at scale, offering speed and accuracy in investigative efforts without relying on personally identifiable information (PII).
"Achieving ‘Awardable’ status on the Tradewinds Solutions Marketplace is a testament to Veritone’s commitment to delivering AI solutions that enhance national security, investigative workflows and intelligence operations," said Ryan Steelberg, chairman, president and chief executive officer, Veritone. "By streamlining access to our technology, we are empowering defense and law enforcement agencies with the tools they need to rapidly analyze, manage and act on critical data with speed, accuracy and security."
Veritone Illuminate, Redact and Track are part of Veritone’s Intelligent Digital Evidence Management System (iDEMS), a comprehensive purpose-built applications suite for the public sector that leverages AI to streamline the management and analysis of digital evidence, providing customers with powerful investigatory tools to handle vast amounts of data quickly and accurately. iDEMS is built on Veritone’s aiWARE™ platform, which is deployed in FedRAMP on AWS and Microsoft Azure and can be leveraged by DoD customers within their public cloud tenant or in their secure data center. aiWARE is an AI operating system that intelligently and securely orchestrates hundreds of best-of-breed cognitive and generative models in a single solution to transform extensive volumes of unstructured data, including video and audio, into actionable insights.
The agreement marks another milestone in Veritone’s expanding role within U.S. federal civilian and defense agencies, building upon the Company’s previously announced Test and Evaluation Services Blanket Purchase Agreement with the DoD, Sole-Contractor Blanket Purchase Agreement with the Department of Justice and Carahsoft’s GSA IT Schedule 70 contract.
To learn more about Veritone’s Public Sector solutions, visit: https://www.veritone.com/solutions/public-sector/
About Veritone
Veritone (NASDAQ: VERI) builds human-centered enterprise AI solutions. Serving customers in the media, entertainment, public sector and talent acquisition industries, Veritone’s software and services empower individuals at the world’s largest and most recognizable brands to run more efficiently, accelerate decision making and increase profitability. Veritone’s leading enterprise AI platform, aiWARE™, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human expertise with AI technology, Veritone advances human potential to help organizations solve problems and achieve more than ever before, enhancing lives everywhere. To learn more, visit Veritone.com.






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Esq.111

Fascinatingly Intuitive.
Good Morning Bravo,

Love your work. 👌

Regards,
Esq.
 
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HopalongPetrovski

I'm Spartacus!
View attachment 77846
Increase in Shorts. Possibly due to knowing the 20 million share deal with LDA..
The prickadillo's are also setting themselves up to take advantage of what is likely to be another poor result card in the soon to be released Annual report 2024, due sometime next week.
Again will be the mock shock horror at our lack of revenue followed up by a call for Sean's and the rest of the boards heads on pikes.
Then the comparisons to local coffee shops profitability and in a final indignant harrumphing will come the trenchant pleading to, at the very least, for the love of god, toss the board and sell out before the sky actually falls.
After all, the shorter's will make more money that way. 🤣

After a quick telepathic conference, Sean has authorised the unveiling of our latest space partnership, with the little known, but enthusiastic,
Thai Space Force. I wouldn't be surprised to find we have a hand in their latest triumph.....................


 
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rgupta

Regular

If someone can try to find this patent application of Mercedes. My sixth sense says we must be involved here or aleast it cannot be possible without neurophonics.
Dyor
 
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