BRN Discussion Ongoing

[davidfitz]

Congratulations again to winners in the Product categories in the 15th annual Best in Biz Awards: Addigy Adobe ADP Aha! Applied Systems Asensus Surgical Atombeam Technologies Aviatrix BrainChip… | Best in Biz Awards

Congratulations again to winners in the Product categories in the 15th annual Best in Biz Awards: Addigy Adobe ADP Aha! Applied Systems Asensus Surgical Atombeam Technologies Aviatrix BrainChip DataDocks Deako Dynamo Software Fidelity Investments First Internet Bank GreenShield iHealth Labs...

www.linkedin.com

View attachment 93749

No wonder we won, the NEXA glasses are just the beginning (I hope). With the clinical trials almost completed we should start to see the true benefit in 2026. Like many I am hopeful this will lead to a commercial agreement.

AI Anomaly Detection for Seizure Prediction: How BrainChip enables Onsor Technologies NEXA

BrainChip's Akida processor is enabling real-time seizure prediction in wearable devices, marking a breakthrough in low-power, personalized medical AI at the edge.

www.wevolver.com

What’s Next: Scaling Neuromorphic AI in Healthcare​

The capabilities demonstrated in seizure prediction are only a starting point. The same underlying technology—low-power, event-based neuromorphic AI—can be applied to a range of neurological and muscular conditions where early detection and real-time response are critical.

• Gesture-Controlled Prosthetics: In prosthetics and assistive mobility solutions, neuromorphic processors can interpret EMG or neural signals to provide precise, real-time control of limbs. SNNs improve responsiveness while keeping power consumption low, enabling all-day operation. With on-device learning, such systems can continuously adapt to each user’s signal patterns and control behavior, improving over time without retraining [4].
• Continuous Rehabilitation Monitoring: AI-powered wearables can track muscle movements, gait patterns, or facial expressions for 24/7 monitoring. These devices can flag early signs of falls, pain, or emotional distress in patients who may struggle to communicate. Always-on operation makes long-term monitoring possible without constant recharging [9].
• A New Model for Edge AI in Medicine: Medical AI at the edge is becoming more feasible, secure, and personal. BrainChip’s Akida processor enables smart wearables, implants, and monitoring systems that run AI locally without compromising speed or data privacy. Future devices could track brain or heart signals in real time, adapting to individual health profiles without cloud dependency [10].
• Beyond Seizure Prediction: AI-powered systems have the potential to predict tremors in Parkinson’s patients before they occur, monitor stroke rehabilitation with greater precision, and detect early signs of cognitive or motor decline. These applications demand constant, adaptive analysis [7,8], something neuromorphic processors can deliver without compromising battery life or data privacy. BrainChip and Onsor are already exploring broader use cases, demonstrating how this platform can scale across multiple domains of personalized, real-time healthcare.
  
  
  

 

[manny100]

Thanks @itsol4605 Let's hope we keep Steve as I feel he is integral to our success.
At about the 24 min mark the host is talking about wearables and in particular his "aura ring" running out of battery.
Steve says "I can't really disclose" and then goes on to talk about how we are targeting the wearable industry.
Also at the 56 min mark Steve talks about a sponsored University race using drones fitted with Akida but that has not gone public yet.
Exciting times ahead.

Around 29 min mark he says we have a customer who pulled out their Jetson NVIDIA chips and put AKIDA in. He said Immediate 10 fold improvement. He then followed with anything that is moving is a collision risk for humans eg cars, robots.....etc.
Then follows on after a question that our chips out for taping can be radiation hardened which he says is suitable for one of our space customers.

 

[manny100]

Have a look!

Thanks, great video,
A few more points from Steve,
Thanks itsol4605, Awesome video. Some further comments:
35 min: Regarding a question about ear aids growth Steve said " I think we are seeing rapid adoption now". Backs up Seans comments in the AusxBis video.
43 min : Ear buds can be hearing aids.
Denoising via TENNs State based mode.
Neuromophic for input signal and TENNs for output
Can use a local LLM model on hearing aids for memory assistance. Steve used the example of a grand daughters name and age.
With the aging population this has the potential to be huge.
Later he talked about local LLMs being used in industry improving productivity and being on chip not letting competitors getting a chance to look at it.
48 min: Steve said we have a contract with the USAFRL and results surprised both Brainchip and the contractor and now expanding it.
Adding capabilities to radar that were not there before. AKIDA adds the ability to classify what it detects.
AKIDA also makes the devices much smaller. They work well in all weather etc.
This could well be huge.
Then he talks about this in Drones and Robotics.
Robotics though are in the evaluation stage.
To speed things up BRN are doing in radar and wearables for clients. This is way better than just throwing algorithms at clients and saying do it yourself.
Towards the end of the video Steve says we know all about (apple) "Air Tags, we now have "Brain Tags".
He said
54 min addresses a question why has it taken neuromorphic AI to find commercial applications. Explains in scientific terms and also in this context he said we have new tools which we will announce in the next month. He said this will be a huge advance for BRN.
He also said that people get to focused on the hardware but the software is what NVIDIA said is how it works - so Development Hub set up by BRN.

 

[7für7]

I’m at that stage of my BrainChip investment where I’m already crying happy tears and popping champagne on credit… because everything’s looking pretty damn grey right now.

Wohooo go Brainchip something is happening behind closed doors

 

[7für7]

I’m at that stage of my BrainChip investment where I’m already crying happy tears and popping champagne on credit… because everything’s looking pretty damn grey right now.

Wohooo go Brainchip something is happening behind closed doors

 

[Diogenese]

Thanks for posting. Steve is well spoken and understands the technology. Great viewing.

Looks like the RTX/USAF radar project has spawned a real winner - see-in-the-dark robots are just one application. The micro-Doppler radar project surprised RTX, USAF, and BRN. The initial model for this would have used RTX radar data, but apparently it can be applied to any radar signal. The micro-Doppler probably also provides much more precise Time-of-Flight (ToF) 3D outlines. No wonder Sean was excited. Can't wait for the patent.

Another revolutionary development is the "universal" model conversion tool for TENNs. This expands Akida's applicability in temporal applications.

The world is Akida's oyster!

 

[Doz]

Thanks, great video,
A few more points from Steve,
Thanks itsol4605, Awesome video. Some further comments:
35 min: Regarding a question about ear aids growth Steve said " I think we are seeing rapid adoption now". Backs up Seans comments in the AusxBis video.
43 min : Ear buds can be hearing aids.
Denoising via TENNs State based mode.
Neuromophic for input signal and TENNs for output
Can use a local LLM model on hearing aids for memory assistance. Steve used the example of a grand daughters name and age.
With the aging population this has the potential to be huge.
Later he talked about local LLMs being used in industry improving productivity and being on chip not letting competitors getting a chance to look at it.
48 min: Steve said we have a contract with the USAFRL and results surprised both Brainchip and the contractor and now expanding it.
Adding capabilities to radar that were not there before. AKIDA adds the ability to classify what it detects.
AKIDA also makes the devices much smaller. They work well in all weather etc.
This could well be huge.
Then he talks about this in Drones and Robotics.
Robotics though are in the evaluation stage.
To speed things up BRN are doing in radar and wearables for clients. This is way better than just throwing algorithms at clients and saying do it yourself.
Towards the end of the video Steve says we know all about (apple) "Air Tags, we now have "Brain Tags".
He said
54 min addresses a question why has it taken neuromorphic AI to find commercial applications. Explains in scientific terms and also in this context he said we have new tools which we will announce in the next month. He said this will be a huge advance for BRN.
He also said that people get to focused on the hardware but the software is what NVIDIA said is how it works - so Development Hub set up by BRN.

How did you miss this one Manny ?


Steve’s mate from Qualcomm starting a new business , Aynak Inc .

10 months ago ,