BRN Discussion Ongoing

[Diogenese]

This has flown under my radar, but it confirms in black and white what we had suspected, that the Quantum Ventura CyberNeuro-RT is destined for other US government departments as well as the DoE, in addition to mentioning cybersecurity for edge and enterprise:

https://finance.yahoo.com/news/metaguard-ai-debuts-defense-grade-130000153.html

MetaGuard AI Debuts Defense-Grade Cybersecurity Platform at CES 2026 with Industry-First Full Source Code Access and BrainChip Neuromorphic Support​

Business Wire
Sat, January 3, 2026 at 12:00 AM GMT+11 3 min read

Department of Energy (DOE) and Missile Defense Agency (MDA)-Funded AI-driven Cyberthreat management Platform Offers Zeek and Corelight Compatibility with Neuromorphic Edge Computing; Live Demonstrations at BrainChip Venetian Exhibit Suite 29-116, January 6-9; Available via Software Licensing or Managed Services.

SAN JOSE, Calif., January 02, 2026--(BUSINESS WIRE)--MetaGuard AI, Inc., a wholly-owned subsidiary of Quantum Ventura Inc., will showcase CyberNeuroRT at the Consumer Electronics Show (CES) 2026, January 6-9 in Las Vegas. Attendees can experience live demonstrations of the Zeek and Corelight-compatible AI-driven real-time security platform.

CyberNeuroRT is the world’s first cybersecurity platform with a full source code licensing option for both enterprise deployments and neuromorphic edge versions, a unique combination in the cybersecurity market.

Developed through U.S. DOE (SBIR Phase 2) and MDA (SBIR Phase 1) federal funding, CyberNeuroRT brings defense-grade AI technology to commercial enterprises through flexible deployment options and unprecedented transparency. During the SBIR program, researchers from Penn State University’s Neuromorphic Computing Lab provided advanced neuromorphic ML models while cybersecurity specialists from the world’s largest Defense contractor provided a technical assessment of a custom CyberNeuroRT version in their air-gapped HPC environment.

"CES 2026 is the perfect venue to demonstrate how our Enterprise-scale ML models are adopted for ultra-efficient threat detection using BrainChip neuromorphic processors and how it transforms cybersecurity," said Srini Vasan, President & CEO at MetaGuard AI. "We invite attendees to visit us and see how CyberNeuroRT delivers in real-time."

"Bringing MetaGuard AI’s threat detection, CyberNeuroRT, solution to the efficient Akida platform shows how neuromorphic computing is reshaping cybersecurity from the edge to the enterprise," said Sean Hehir, CEO of BrainChip.

CyberNeuroRT serves enterprises requiring AI-powered threat detection with transparency, including existing Zeek and Corelight users, regulated industries needing algorithmic accountability, government contractors, industrial IoT operators, and mid-market companies through managed services or flexible cloud/on-prem licensing models.

QV is "a government backed pioneer in cybersecurity":

https://www.bing.com/search?q=what ...-33&sk=&cvid=1BC79F4AB2B3432A90059E42AE78C35E

Quantum Ventura Corelight​

Quantum Ventura and Corelight are two entities that are integral to the quantum technology and cybersecurity sectors. Quantum Ventura is a government-backed pioneer in AI, cybersecurity, and secure tech innovations, with a focus on protecting businesses from cyberattacks. Their R&D in AI, imaging, and optics for federal and private sectors keeps their security milestones ahead of others. Quantum Ventura's CyberNeuro-RT (CNRT) technology is an AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool. Corelight, on the other hand, is a SaaS-based network detection and response solution that simplifies Tier 1 workflows and offers a range of products for network traffic monitoring and proactive data defense

The QV connexion could open many doors.


PS: Sean, I've been hanging out for an Akida cybersecurity USB for PCs since the days of Democritus University of Thrace (DUTH), or maybe just get it in all PCs, etc.

 

[Frangipani]

#neuromorphiccomputing #edgeai #braininspiredcomputing #aihardware #energyefficientai | Massimiliano Versace

Is neuromorphic computing finally ready to challenge the GPU's dominance in AI inference? Many startups are bringing these innovations to market. One is BrainChip, whose latest neuromorphic chip design promises milliwatt-level AI inference for edge applications. This is in stark contrast to the...

www.linkedin.com

Massimiliano Versace - Analog Devices | LinkedIn

My passion is turning AI research into practical, commercial solutions with global reach.… · Experience: Analog Devices · Education: Boston University · Location: Boston · 500+ connections on LinkedIn. View Massimiliano Versace’s profile on LinkedIn, a professional community of 1 billion members.

www.linkedin.com

---

Alf Kuchenbuch used to work for Analog Devices, by the way…

https://www.linkedin.com/in/alf-kuchenbuch-a761349/

---

Comment by Neuromorphicism (https://www.linkedin.com/company/neuromorphicism/posts/)
aka Michał Antropik (https://www.linkedin.com/in/michał-antropik-a97458165/):

Repost by Aaron Goldberg, SVP at Quantum Ventura:

Analog Devices’ 2026 AI Predictions - DirectIndustry e-Magazine

Analog Devices’ top AI predictions for 2026, from decentralized humanoid robotics and analog AI compute to agentic systems.

emag.directindustry.com

1/ Decentralized AI in Humanoid Robotics​

Massimiliano Versace, VP of Emergent AI at Analog Devices, predicts that by the end of 2026, decentralized AI architectures combining sensing with neuromorphic and in-memory compute will move from pilot programs to early commercial deployment in humanoid robotics:

“We’ll see humanoid robotics systems getting a bit closer to biological systems, where local circuits in sensory organs and spinal pathways handle reflexes and balance, allowing smoother, more adaptive movement, drastically reduced power consumption, and freeing the central brain to think and plan.”

Versace also emphasizes the role of intelligent sensors embedding novel AI compute directly within the sensor:

“By enabling real-time, low-latency AI at the edge, robots will become more efficient, responsive, and capable of near-biological sensory-motor skills,” he explains.

This fusion of decentralized AI and advanced compute architecture will allow humanoid robots to operate fluidly in dynamic environments, paving the way for practical and pervasive applications.

2/ The Rise of Analog AI Compute​

Analog AI compute, once sidelined due to precision and scalability limitations, is expected to make a comeback in 2026. Unlike conventional digital processors that separate sensing and computation, analog AI performs inference using the physics of the sensing substrate itself, collapsing these layers into a unified framework.

Versace predicts that:

“By the end of 2026 we’ll see initial deployments and adoption of this technology, particularly in robotics, wearables, and autonomous applications, where analog AI enables real-time responsiveness, smoother interactions, longer battery life, and more natural behavior in the devices they power.”

3/ AI Steps Into the Physical World​

For Paul Golding, VP of Edge AI and Robotics at Analog Device, AI will be moving off screens and into the physical world as the next frontier of AI will be physical intelligence:

“The scaling laws that powered the success of large language and vision models will continue through 2026 but will extend into models that learn from vibration, sound, magnetics, and motion (stubborn attributes of the physical world). I predict these physical reasoning models will migrate from the datacenter to the edge, powering a new type of fluid autonomy that thinks and acts locally, sensitive to local physics and without recourse to centralized servers.”

Golding highlights hybrid “world models” that integrate mathematical and physical reasoning with data-driven sensor-fused dynamics.

“Think of a mobile factory robot that can reason for itself and determine what to do when faced with an unexpected obstacle.

These systems will not only describe their environments but actively engage with them, learning from their own experience.

4/ Audio as a Dominant AI Interface​

By 2026, audio is expected to become a key reasoning channel in consumer electronics. Spatial sound, sensor fusion, and on-device reasoning will transform earbuds, AR glasses, and in-vehicle sound systems into context-aware companions. According to Golding,

“These technological leaps will lead to significantly better noise cancellation in our hearable devices, improved battery life, and new form factors that haven’t yet been imagined. The always-in-ear hearable experience, already on the rise among Gen Z, will become increasingly prevalent due to the “super-human” hearing of context-aware AI.”

5/ Agentic AI and Physically Intelligent Models​

Another prediction refers to agentic AI, the next wave of edge AI. AI agents are AI systems that can autonomously decide and act in the world. Golding predicts the mainstream adoption of digital twins to give AI models physical-system awareness:

“2026 will see the mainstream arrival of digital twins to imbue large models with physical-system awareness. Imagine AI models learning to predict forces instead of text, but within the safety of a scalable simulated environment. Physically intelligent foundation models will merge reasoning with sensor intelligence to orchestrate machines, simulations, and data.”

Today, many factories have the technology to do predictive maintenance. But Golding expects a future where an agent on the factory floor acts on that prediction:

“It autonomously reroutes the production line to a healthier machine, adjusts the strained machine to 70% to extend its life, and coordinates with supply chain agents to adjust inventory—all without human intervention.”

6/ Micro-Intelligence: AI’s Agentic “Inception”​

A final prediction for 2026 is the emergence of micro-intelligences. These tiny, recursive models with deep reasoning in narrow domains are capable of running at the edge. These systems will bridge the gap between today’s rigid programmed AI and sprawling foundation models like GPT-5, orchestrating specialized agents to solve practical engineering problems.

For Golding,

“I predict the rise of new types of AI benchmarks designed to measure and encourage a new kind of engineering intelligence—multiagent micro-intelligences that can collaborate to solve complex engineering problems, moving from the world of abstract mathematical challenges (like Math Olympiads) to practical problem-solving systems.”

 

[Frangipani]

Day 2 at CES 2026 (7 January)

#ces2026 | BrainChip

Another successful day at #CES2026 ✨ Great conversations all day and a truly memorable night at our mixer 🥂 Huge thanks to everyone who joined us and made it such a great time

www.linkedin.com

Live Partner Demo with HaiLa: “Ultra Low Power Connectivity - Buetooth and WiFi integration with the AKD1500 for wearable visual classification”.

In this photo, HaiLa is represented by Patricia Bower, VP of Product Management and Chris Whalen, VP of Sales.

 

[Rach2512]

Anthony Lewis celebrates this.

Aravind Srinivas: On-Device AI Buries Data Centers | Christian Schmidt posted on the topic | LinkedIn

Data centers? Dead weight if Aravind Srinivas is right. Perplexity's CEO predicts phone AI buries them. On-device AI kills data centers. Perplexity CEO Aravind Srinivas nails it—cloud GPUs lose to phone chips. Tech giants like Meta and Google are spending $500B to $5T on GPU farms for AI...

www.linkedin.com

 

[Frangipani]

#ces2026 #wearables #ai | Kurt Manninen

Great vibes at CES this year! Wearables (with embedded AI, of course) appear to be trending. I visited the Startup section in the Venetian yesterday. The floor is separated by country, which I thought was an interesting way to see what ideas are trending regionally. Today I am hoping to walk the...

www.linkedin.com

 

[Yoghesh]

Day 2 at CES 2026 (7 January)

#ces2026 | BrainChip

Another successful day at #CES2026 ✨ Great conversations all day and a truly memorable night at our mixer 🥂 Huge thanks to everyone who joined us and made it such a great time

www.linkedin.com

Live Partner Demo with HaiLa: “Ultra Low Power Connectivity - Buetooth and WiFi integration with the AKD1500 for wearable visual classification”.

In this photo, HaiLa is represented by Patricia Bower, VP of Product Management and Chris Whalen, VP of Sales.

View attachment 94157

Did I see Renesas guy in middle with Sean

 

[Yoghesh]

Did I see Renesas guy in middle with Sean

Looks like they took down that photo now hmm

 

[Frangipani]

#ces #brainchip | Luyang Xing

I feel incredibly grateful to have been part of the energy at #CES this year. To me, this event truly is the Olympics of consumer tech and AI. It’s a rare moment where you can feel the inclusivity, the constant innovation, and that sense of pure vitality that defines our industry. It was a...

www.linkedin.com

Luyang Xing - BrainChip | LinkedIn

I am a highly skilled Technical Product Marketer with deep vertical expertise in AI and… · Experience: BrainChip · Education: University of Southern California · Location: United States · 500+ connections on LinkedIn. View Luyang Xing’s profile on LinkedIn, a professional community of 1 billion...

www.linkedin.com

 

[itsol4605]

Looks like they took down that photo now hmm

You must be mistaken – everything and everyone is still visible.

 

[Yoghesh]

You must be mistaken – everything and everyone is still visible.

yes

 

[genyl]

Interesting

 

[IloveLamp]

#ces2026 #wearables #edgeai | Kurt Manninen

The “AI Powered Wearables” session at CES this morning was standing room only. The panel was made up of companies providing: augmented reality glasses (Snap Inc. ), health monitoring and medical context (Neuranics and Noise ) and exoskeleton assistance (Ottobock ). #ces2026 #wearables #edgeai

www.linkedin.com

 

[overpup]

Did I see Renesas guy in middle with Sean

Yep definitely

 

[smoothsailing18]

#ces2026 #wearables #edgeai | Kurt Manninen

The “AI Powered Wearables” session at CES this morning was standing room only. The panel was made up of companies providing: augmented reality glasses (Snap Inc. ), health monitoring and medical context (Neuranics and Noise ) and exoskeleton assistance (Ottobock ). #ces2026 #wearables #edgeai

www.linkedin.com

View attachment 94165

Would have been nice to see BrainChip on stage there, considering wen are meant to be leading the pack and all we here about is Edge Ai from them. Missed opportunity IMO.

 

[Labsy]

I feel we are such a buy target right now that we won't even make it to 2027....
Big fish with very deep pockets already shareholders .... Lets see what happens.

 

[FJ-215]

I feel we are such a buy target right now that we won't even make it to 2027....
Big fish with very deep pockets already shareholders .... Lets see what happens.

How so??
No new substantial holders.

 

[7für7]

Anthony Lewis celebrates this.

Aravind Srinivas: On-Device AI Buries Data Centers | Christian Schmidt posted on the topic | LinkedIn

Data centers? Dead weight if Aravind Srinivas is right. Perplexity's CEO predicts phone AI buries them. On-device AI kills data centers. Perplexity CEO Aravind Srinivas nails it—cloud GPUs lose to phone chips. Tech giants like Meta and Google are spending $500B to $5T on GPU farms for AI...

www.linkedin.com

Some people disagree on this article in the comments

3 options:

1. They know it better
2. They bet on the wrong horse and are in panic
3. They have no idea what they taking about

 

[Guzzi62]

Would have been nice to see BrainChip on stage there, considering wen are meant to be leading the pack and all we here about is Edge Ai from them. Missed opportunity IMO.

Showcasing what?

Last time I checked, BRN wasn't selling any wearable, were they??

Your post doesn't make any sense at all.

AKD is an important (hopefully) part of a wearable item but not the item itself, watch-glasses-some health monitoring or whatever.

So it's not BRN that will do the showcasing, is it?

 

[smoothsailing18]

Showcasing what?

Last time I checked, BRN wasn't selling any wearable, were they??

Your post doesn't make any sense at all.

AKD is an important (hopefully) part of a wearable item but not the item itself, watch-glasses-some health monitoring or whatever.

So it's not BRN that will do the showcasing, is it?

It was wishful thinking Guzz if ya get your head around it. Meaning an announcement was the wish.

 

[Jacob Kiraz]

Abit fun, alot used to predict the shareprice at Easter or Xmas,
Im break even at 23 cents so not far to go now