BRN Discussion Ongoing

manny100

Top 20
Great find, @Bennysmadness!

I checked out Devansh Lingamaneni’s LinkedIn profile and noticed he had reposted the following post about his Infosys ARC (Applied Research Centre) team having recently presented a live neuromorphic computing demo at Celebrating Tech 2025 (Infosys Bangalore DC’s flagship technology event in November), which in turn led me to a couple of other Infosys employees’ LinkedIn profiles.

Among them that of Senior Consultant Manish Kolachalam, who states that their research with regard to neuromorphic computing does not only relate to drones but also to “improved methods for Traffic Signal Control”:

- Currently pursuing solutions in applications of Neuromorphic Computing and Swarm Intelligence to Autonomous Machines
- Projects include Object Detection using Spiking Neural Networks in event data, heuristics for drone task allocation and improved methods for Traffic Signal Control”





View attachment 93819

a82832dd-2947-46ee-b3f3-e5201bb2bf77-jpeg.93826

View attachment 93820



View attachment 93821
View attachment 93822





View attachment 93823


View attachment 93824




View attachment 93825
Wow, great research Frangipani.
Hope you do not mind but i copied it over on the crapper. They need a lift over there. Said it was from you.
 
Last edited:
  • Like
  • Love
Reactions: 12 users

manny100

Top 20
IMO BrainChip does have the beginnings of a moat in the neuromorphic edge‑AI market — not a full on moat yet, but a real, advantage built on technology, patents, and timing.
The deeper you dig the more obvious it is that’s genuinely hard for others to copy.
1. Patents = The IP wall is real
2. Low power.
3. On chip learning which is a great advantage for Drones, Robotics, Cybersecurity, IOT.
Most competitors cannot come close.
4. Full ecosystem including all the tools, eg Akida Cloud (no hardware needed to test), Akida Development Hub, Model Zoo.
5. Partnerships some starting to bear fruit now, eg, Onsor, Frontgrade, Bascom Hunter, RTX/US/AFRL and Parsons.
No doubt we still have a long way to go but we are getting there.
 
  • Like
  • Love
Reactions: 29 users

Frangipani

Top 20
It was just a question of time…

“Intel Labs is seeking a distinguished researcher to advance state-of-the-art neuromorphic processor technology to commercial deployment.”



Principal Engineer, Neuromorphic Processor Research​

Apply

locations Virtual US

time type Full time

posted on Posted Yesterday

time left to apply End Date: January 23, 2026 (30+ days left to apply)

job requisition idJR0279310

Job Details:



Job Description:​

For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach.

Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems-beyond the reach of GPUs and mainstream AI accelerators.


If you're passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that unites the proven strengths of neuromorphic computing with the versatility demanded by modern AI workloads.

Intel Labs is seeking a distinguished researcher to advance state-of-the-art neuromorphic processor technology to commercial deployment. Responsibilities will include modeling, prototyping, and defining architecture and algorithms that enable orders of magnitude gains for real-world customer applications.
The role requires strategic collaboration with a broad range of architects, PIs, and researchers leads spanning Intel, industry, government and academic groups.


Qualifications:​

Minimum qualifications:
• PhD in Computational Neuroscience, Computer Science, Electrical/Computer Engineering, or a related field. • 20+ years of combined industry and academic experience. • 5+ years of experience in computer science, architecture, or algorithms research with 10+ peer-reviewed publications. • 5+ years of software development for high-performance numerical/parallel/AI applications • 3+ years of experience developing for specialized architectures, e.g. neuromorphic, FPGA, HPC.

Preferred qualifications:
• Publications in the fields of AI/ML algorithms and architecture • Product development experience from technology research to customer deployment • 3+ years of hardware architecture and design experience • 3+ years of management experience

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.



Job Type:​

Experienced Hire


Shift:​

Shift 1 (United States of America)


Primary Location:​

Virtual US


Additional Locations:​





Business group:​

As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks.


Posting Statement:​

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust​

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.


Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003


Annual Salary Range for jobs which could be performed in the US: $214,730.00-303,140.00 USD


The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.



Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 01/23/2026
 
  • Like
  • Thinking
  • Wow
Reactions: 10 users

7für7

Top 20
New job

 
  • Like
Reactions: 8 users

manny100

Top 20
Based on our known partnerships, ecosystem, Oncor, Parsons, Frontgrade Gaisler, RTX/USAFRL, Bascom-Hunter, Steve Brightfields recent comments and expected GEN ai and GEN 3 I asked chat to put together a table showing briefly what it all signals to investors.
Its common sense but puts it all together in the one spot.

What BrainChip’s Partnerships & Roadmap Signal to Investors

CategoryMessage to Investors
Onsor partnershipValidates Akida in medical‑grade, real‑time, ultra‑low‑power applications (seizure‑detecting glasses). Shows the tech works where latency and power matter most.
Frontgrade Gaisler integrationConfirms Akida is suitable for radiation‑hardened, space‑grade SoCs. Space customers only adopt tech that is extremely reliable and efficient.
Parsons / Blue Ridge EnvisioneeringDemonstrates traction in defense edge‑AI systems, where ruggedness, low power, and real‑time inference are mandatory.
Bascom Hunter / Navy SBIRShows adoption in DoD‑aligned programs and rugged neuromorphic hardware (SNAP card). Their purchase of Akida‑1500 chips signals real demand.
RTX / USAFRL expansionA major aerospace/defense contractor expanding trials after “surprising results” is a strong technical endorsement. Suggests Akida outperformed expectations.
Akida‑1500 tape‑outIndicates BrainChip is executing, not just promising. Tape‑out means the design is real, stable, and ready for manufacturing.
GenAI roadmapShows BrainChip is aligning with the biggest trend in tech: on‑device generative AI. Signals long‑term relevance.
Gen3 architecture directionConfirms BrainChip is not a one‑chip company. A maturing roadmap increases investor confidence in future revenue streams.
Multiple partnerships across sectorsDemonstrates broad applicability: medical, defense, aerospace, industrial, space, consumer. Reduces single‑market risk.
Customers requesting chips before licensingStrongest sign of commercial readiness. Customers want hardware validation before committing to IP licensing — a normal path toward high‑margin revenue.
Hearing‑aid adoption acceleratingHearing aids are a high‑volume consumer vertical. Early adoption signals potential for recurring, scalable revenue.
 
  • Like
  • Love
Reactions: 17 users

manny100

Top 20
At the 25 minute mark of Steve Brightfields interview he said Ear buds will become medically certified hearing aids off the shelf. That is potentially huge.
Disaster for hearing aid producers and sellers?
At 28 min on he says we have a customer with smart glasses and they can detect from brainwave activity whether it be migraine, in this case detecting Epileptic seizures before it happens.
That looks a giveaway that Migraine prediction is being worked on at least - another Onsor project?
Migraine detecton would be huge.
 
  • Like
  • Love
Reactions: 10 users

7für7

Top 20
At the 25 minute mark of Steve Brightfields interview he said Ear buds will become medically certified hearing aids off the shelf. That is potentially huge.
Disaster for hearing aid producers and sellers?
At 28 min on he says we have a customer with smart glasses and they can detect from brainwave activity whether it be migraine, in this case detecting Epileptic seizures before it happens.
That looks a giveaway that Migraine prediction is being worked on at least - another Onsor project?
Migraine detecton would be huge.


Interesting… but what could someone do against migraine? Take the pill earlier?

confused jeff bridges GIF
 
  • Haha
  • Thinking
Reactions: 3 users

manny100

Top 20
It's interesting that Arquimea and Brainchip made an agreement concerning water safety and rescue.
" ARQUIMEA has demonstrated BrainChip’s Akida with a Prophesee event-based Metavision® camera on a low-power drone to detect distressed swimmers and surfers, helping lifeguards scale their services for large beach areas."
Edge AI Empowers Search & Rescue Operations
The date of the Brainchip news release was 16th April 2025.
By coincidence Arquimea on 22nd April 2025 announced that on "14th April 2025 that they and Lockheed Martin Skunk Works have successfully completed development of an enhanced anomaly detection for Intelligence, Surveillance and Reconnaissance (ISR) platforms such as Drones and other systems piloted by artificial intelligence agents....."
"neural networks", " using machine learning algorithms, allowing the mission to be readapted".
Neural networks, adaptive on chip learning? Sounds like something AKIDA can do.
Arquimea and Lockheed Martin develop advanced AI surveillance and reconnaissance (ISR) systems
I note that Brainchip has ties with both Lockheed Martin and Arquimea.
I also note that both Lockheed Martin and Arquimea are defense suppliers.
 
  • Like
  • Love
  • Fire
Reactions: 9 users
Top Bottom