BRN Discussion Ongoing
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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.
Brian Malone on LinkedIn: BrainChip’s IP for Targeting AI Applications at the Edge - EE Times Podcast
I thought that this was an excellent episode with the team at BrainChip. They discuss recent advances like TENNs (Temporal Event-based Neural Networks). I…www.linkedin.com
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I considered applying there but quickly realized my folly.
The bottom 5% was already spoken for.
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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 .
Regards,
Esq.
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 .
Regards,
Esq.
Pom down under
Top 20
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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.
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.
www.tataelxsi.com
ication Name: Aviation-defence-universe.com
Date: February 17, 2025
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.
Tata Elxsi - Indigenous UAVs: Strengthening India’s Aerospace Capabilities and Defence Readiness
Tata Elxsi
www.tataelxsi.com
ication Name: Aviation-defence-universe.com
Date: February 17, 2025
Indigenous UAVs: Strengthening India’s Aerospace Capabilities and Defence Readiness
- Tata Elxsi’s partners with Garuda Aerospace for innovation in unmanned technology
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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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.
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
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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Smoothsailing
Regular
7für7
Top 20
Hey ESQ,HERE WE GO LADIES & GENTILMEN
BOOOOM
Not sure if you are watching the same company as we do… let’s make a quick check BRAINCHIP INC.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Apple debuts iPhone 16e: A powerful new member of the iPhone 16 family
Apple today announced iPhone 16e, a new addition to the iPhone 16 lineup that offers powerful capabilities at a more affordable price.
www.apple.com
EXTRACT
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.
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.
Smoothsailing
Regular
Apple debuts iPhone 16e: A powerful new member of the iPhone 16 family
Apple today announced iPhone 16e, a new addition to the iPhone 16 lineup that offers powerful capabilities at a more affordable price.www.apple.com
EXTRACT
View attachment 77875 Come on BRN
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
Was set up , but alas , foiled by degenerats .
What more can one say......
Regards,
Esq.
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
Evening Pom ,
Was set up , but alas , foiled by degenerats .
What more can one say......
Regards,
Esq.
Hi @Diogenese Thank you very much for educating much appreciated
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.
Frangipani
Regular
RISC-V in Space on LinkedIn: #riscv #spacecomputing
Visit our Gold Sponsor BrainChip in their booth where they will be ready to discuss their latest technologies! BrainChip is the worldwide leader in edge AI…
supersonic001
Regular
RISC-V in Space on LinkedIn: #riscv #spacecomputing
Visit our Gold Sponsor BrainChip in their booth where they will be ready to discuss their latest technologies! BrainChip is the worldwide leader in edge AI…
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