BRN Discussion Ongoing

[7für7]

Ericsson, Intel, 6 G.

Technical Synergy and Neuromorphic AI in 6G
The evolution toward 6G requires "Networks for AI," where the infrastructure itself is programmable and capable of real-time sensing.[1] Neuromorphic computing, as detailed in academic literature, offers a path toward the "extreme low power" requirements of 6G sensing nodes.[10] BrainChip’s technology enables on-chip learning independent of the cloud, which aligns with the Ericsson-Intel goal of reducing latency and improving data security at the network edge

I can’t find any mention of BrainChip in either the post itself or in the link it points to.

Bringing BrainChip into this without any source is, at best, speculation based on wishful thinking … and at worst, an attempt to mislead people.

Unless someone can provide a direct reference …official announcement, filing, press release, or an explicit mention by the author…, this should be treated as pure guesswork.

My opinion only

 

[smoothsailing18]

Asking Ai it's thoughts on the linkden post and that's a snippit of its response

 

[Diogenese]

My wife kicked me in the vernaculars once - I sympathise

After some alphabet soup, I past participles.

 

[Rach2512]

I couldn’t find that snippet you posted in the LinkedIn article. Can you chuck a link up.

Ericsson and Intel collaborate to accelerate the path to commercial AI-native 6G | Intel

Announced at #MWC26, Ericsson and Intel are extending a decades-long collaboration to accelerate the path to commercial AI-native 6G. Designed to help the industry move from 6G research to commercial reality, the effort spans AI-driven RAN, packet core and edge use cases across compute...

www.linkedin.com

 

[7für7]

Ericsson and Intel collaborate to accelerate the path to commercial AI-native 6G | Intel

Announced at #MWC26, Ericsson and Intel are extending a decades-long collaboration to accelerate the path to commercial AI-native 6G. Designed to help the industry move from 6G research to commercial reality, the effort spans AI-driven RAN, packet core and edge use cases across compute...

www.linkedin.com

He said…

“I couldn’t find that snippet you posted in the LinkedIn article. Can you chuck a link up.”

Not the link of intel… any link referring his statement about brainchip… but as we know …there is no link because it was a ChatGPT answer

 

[smoothsailing18]

FF

Possible use cases as posited by Google Ai:

“Based on GBrain's core business in neurotechnology and BrainChip's current technical roadmap, their collaboration likely focuses on the following uses of Akidatechnology:

1. Ultra-Low-Power Seizure & Event Detection
GBrain develops graphene-based neural implants (Phin Array) for monitoring brain activity in patients with epilepsy.
BrainChip
The Akida Use Case: Akida's event-based architecture is designed to remain in an "always-on" state while consuming micro-watts of power.
Benefit: GBrain can use Akida to process neural spikes directly on the implant, identifying the onset of a seizure in real-time without the latency or power drain of transmitting raw data to an external device.
BrainChip +3

2. On-Device Personalization (Learning)
A key differentiator of the Akida processor is its ability to perform on-chip learning.
BrainChip
The Akida Use Case: Every patient's neural signatures are unique.
Benefit: GBrain can leverage Akida to "learn" a specific patient's normal brain patterns versus pathological activity on the fly. This allows the medical implant to adapt its detection algorithms to the individual user without requiring cloud-based retraining.
BrainChip

3. Smart Brain Stimulation (Phin Stim)
GBrain's Phin Stim is a wireless stimulator used to treat motor diseases.
AFR
The Akida Use Case: Akida 2.0 and the newer TENNs (Temporal Event-based Neural Networks) are optimized for processing time-series data like EEG or ECoG.
Benefit: By integrating Akida, the Phin Stim can become a "closed-loop" system. Akida identifies the precise moment stimulation is needed (inference) and triggers the electrode immediately, maximizing therapeutic effect while saving battery life.
BrainChip +3

4. AKD1500 & AKD2500 Integration
BrainChip recently initiated the AKD2500 custom silicon projectin February 2026.
**promotion blocked**.com.au
The Akida Use Case: Enablement partners like GBrain typically get early access to these next-gen platforms via the AI Enablement Package.
Benefit: This provides GBrain with the most advanced 12nm neuromorphic IP to minimize the physical footprint of their implants, making them less invasive for patients

 

[7für7]

FF

Possible use cases as posited by Google Ai:

“Based on GBrain's core business in neurotechnology and BrainChip's current technical roadmap, their collaboration likely focuses on the following uses of Akidatechnology:

1. Ultra-Low-Power Seizure & Event Detection
GBrain develops graphene-based neural implants (Phin Array) for monitoring brain activity in patients with epilepsy.
BrainChip
The Akida Use Case: Akida's event-based architecture is designed to remain in an "always-on" state while consuming micro-watts of power.
Benefit: GBrain can use Akida to process neural spikes directly on the implant, identifying the onset of a seizure in real-time without the latency or power drain of transmitting raw data to an external device.
BrainChip +3

2. On-Device Personalization (Learning)
A key differentiator of the Akida processor is its ability to perform on-chip learning.
BrainChip
The Akida Use Case: Every patient's neural signatures are unique.
Benefit: GBrain can leverage Akida to "learn" a specific patient's normal brain patterns versus pathological activity on the fly. This allows the medical implant to adapt its detection algorithms to the individual user without requiring cloud-based retraining.
BrainChip

3. Smart Brain Stimulation (Phin Stim)
GBrain's Phin Stim is a wireless stimulator used to treat motor diseases.
AFR
The Akida Use Case: Akida 2.0 and the newer TENNs (Temporal Event-based Neural Networks) are optimized for processing time-series data like EEG or ECoG.
Benefit: By integrating Akida, the Phin Stim can become a "closed-loop" system. Akida identifies the precise moment stimulation is needed (inference) and triggers the electrode immediately, maximizing therapeutic effect while saving battery life.
BrainChip +3

4. AKD1500 & AKD2500 Integration
BrainChip recently initiated the AKD2500 custom silicon projectin February 2026.
**promotion blocked**.com.au
The Akida Use Case: Enablement partners like GBrain typically get early access to these next-gen platforms via the AI Enablement Package.
Benefit: This provides GBrain with the most advanced 12nm neuromorphic IP to minimize the physical footprint of their implants, making them less invasive for patients

Interesting how he used to smash down everyone who used AI for analysis regarding akida, now he post stuff form AI-created opinions by himself…

My opinion only

 

[Fullmoonfever]

Ericsson, Intel, 6 G.

Technical Synergy and Neuromorphic AI in 6G
The evolution toward 6G requires "Networks for AI," where the infrastructure itself is programmable and capable of real-time sensing.[1] Neuromorphic computing, as detailed in academic literature, offers a path toward the "extreme low power" requirements of 6G sensing nodes.[10] BrainChip’s technology enables on-chip learning independent of the cloud, which aligns with the Ericsson-Intel goal of reducing latency and improving data security at the network edge

We also know that Ericsson were playing with Akida late 2023 for 6G

BRN Discussion Ongoing

Hi DB, There are 2 distinct issues: 1. Invalidation of Oculi's patent claims by prior publication: Whether the Oculi patent claims something which is inventive over and above what is disclosed in the Dio I just want to wish you a Xmas greeting and publicly thank you for your knowledge...

thestockexchange.com.au

 

[Rach2512]

#eventcamera | Davide Scaramuzza

We are excited to share our work “Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones” published in IEEE Transactions on Robotics, which tackles sharp radiance field reconstruction under agile drone motion, where RGB frames are heavily motion-blurred and pose priors become...

www.linkedin.com

 

[manny100]

Ericsson, Intel, 6 G.

Technical Synergy and Neuromorphic AI in 6G
The evolution toward 6G requires "Networks for AI," where the infrastructure itself is programmable and capable of real-time sensing.[1] Neuromorphic computing, as detailed in academic literature, offers a path toward the "extreme low power" requirements of 6G sensing nodes.[10] BrainChip’s technology enables on-chip learning independent of the cloud, which aligns with the Ericsson-Intel goal of reducing latency and improving data security at the network edge

Ericcson were working with Intel Labs but they were and still are in research.

• "Using neuromorphic computing technology from Intel Labs, Ericsson Research is developing custom telecommunications AI models to optimize telecom architecture.
• Ericsson Research developed a radio receiver prototype for Intel’s Loihi 2 neuromorphic AI accelerator based on neuromorphic spiking neural networks, which reduced the data communication by 75 to 99% for energy efficient radio access networks (RANs).
• As a member of Intel’s Neuromorphic Research Community, Ericsson Research is searching for new AI technologies that provide energy efficiency and low latency inference in telecom systems."

https://community.intel.com/t5/Blogs/Tech-Innovation/Edge-5G/Ericsson-Research-Demonstrates-How-Intel-Labs-Neuromorphic-AI/post/1588697?utm_source=copilot.com

This article is dated 17th April 2024 so it getting old but everything Neuromorphic seems snail pace.
As we know Intel is in research and Ericcson may well have bench marked them against Intel's closest rival Brainchip.

 

[smoothsailing18]

Ericcson were working with Intel Labs but they were and still are in research.

• "Using neuromorphic computing technology from Intel Labs, Ericsson Research is developing custom telecommunications AI models to optimize telecom architecture.
• Ericsson Research developed a radio receiver prototype for Intel’s Loihi 2 neuromorphic AI accelerator based on neuromorphic spiking neural networks, which reduced the data communication by 75 to 99% for energy efficient radio access networks (RANs).
• As a member of Intel’s Neuromorphic Research Community, Ericsson Research is searching for new AI technologies that provide energy efficiency and low latency inference in telecom systems."

https://community.intel.com/t5/Blogs/Tech-Innovation/Edge-5G/Ericsson-Research-Demonstrates-How-Intel-Labs-Neuromorphic-AI/post/1588697?utm_source=copilot.com

This article is dated 17th April 2024 so it getting old but everything Neuromorphic seems snail pace.
As we know Intel is in research and Ericcson may well have bench marked them against Intel's closest rival Brainchip.

Indeed and with brainchip

Based on available information, researchers from Ericsson and BrainChip were collaborating or working together around 2023 to explore the application of BrainChip's Akida neuromorphic technology in edge computing, particularly within the context of 5G and future 6G networks.

Ericsson's Collaboration with BrainChip and Neuromorphic Research
Ericsson has integrated BrainChip’s neuromorphic technology into its research and development of next-generation mobile infrastructure, specifically focusing on the transition toward 6G Zero-Energy Internet of Things (ZE-IoT). Neuromorphic computing, which mimics the neural structure of the human brain, is viewed by Ericsson as a critical solution for the energy-efficiency challenges posed by the massive scaling of AI in future networks.[1] [2] By utilizing BrainChip’s Akida neural processor, Ericsson has successfully demonstrated that complex AI tasks, such as image recognition and feature extraction, can be performed on devices that harvest energy from their environment rather than relying on traditional batteries.[3] [4]

 

[Frangipani]

https://www.businesswire.com/news/home/20260226502625/en/BrainChip-Named-Official-Technology-Sponsor-for-Raytheons-Operation-Touchdown-Autonomous-Vehicle-Competition

Feb 26, 2026 9:00 AM Eastern Standard Time

BrainChip Named Official Technology Sponsor for Raytheon’s “Operation Touchdown” Autonomous Vehicle Competition​

---

Sponsorship provides university teams with low-power AKD1000 neuromorphic AI hardware to solve complex collaborative UAV/UGV challenges

LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced its role as the official Technology Sponsor for the 2025-2026 Raytheon Autonomous Vehicle Competition (AVC).



The Raytheon AVC, themed “Operation Touchdown,” challenges undergraduate engineering teams from across four United States-based regions—South, Puerto Rico, West Coast, and East Coast—to design and integrate a collaborative system of systems involving at least one Unmanned Aerial Vehicle (UAV) and one Unmanned Ground Vehicle (UGV). Teams must demonstrate fully autonomous navigation, target identification, and collaborative behaviors, including the signature challenge of autonomously landing a UAV on a moving UGV.

As the competition's core technology provider, BrainChip is requiring participating teams to integrate its advanced neuromorphic semiconductor technology into their systems. Teams will have exclusive access to the Akida™ AKD1000, a low-power Edge AI acceleration processor built on the Akida 1.0 neural network inference processor.

“Supporting STEM education and fostering innovation is at the core of BrainChip’s mission,” said Sean Hehir, CEO of BrainChip. “This competition represents the future of autonomous systems—where power-constrained devices must make intelligent decisions in real-time. We are proud to see our Akida technology driving the cognitive capabilities of the UAVs and UGVs in this year’s challenge.”

To ensure student success, BrainChip is providing the AKD1000 hardware at cost, delivering neuromorphic boards to each university competition team. Furthermore, BrainChip is committing up to 40 hours of virtual engineering support per competition, along with recorded webinars and integration guides, to assist teams in mastering on-chip learning and real-time adaptation to field conditions.

“The Raytheon Autonomous Vehicle Competition is designed to push the boundaries of what university students can achieve in autonomous systems,” said Jesse Lee, Raytheon Autonomous Vehicle Competition Lead. “By incorporating BrainChip’s neuromorphic processors, we are equipping the next generation of engineers with the cutting-edge AI capabilities required to solve real-world defense and disaster response challenges.”

The contest’s United States-based locations and dates:

• South: The University of Texas at Arlington, Texas, April 16-17
• East: George Mason University, Washington, D.C., April 22-24
• West: Santa Barbara City College, California, June 5-6
• Puerto Rico: TBD

About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY):
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs with unmatched efficiency and energy economy. Explore more at www.brainchip.com.

About Raytheon:
Raytheon, an RTX business, is a leading provider of defense solutions to help the U.S. government, our allies, and partners defend their national sovereignty. For more than 100 years, Raytheon has developed new technologies in integrated air and missile defense, advanced sensors, and autonomous systems.

Contacts​

Media Contact:
Madeline Coe
prforbrainchip@bospar.com
224-433-9056
Investor Contact:
Trevor Franz
ir@brainchip.com

---

---

Do they really mean “at cost” rather than “at no cost”?

“To ensure student success, BrainChip is providing the AKD1000 hardware at cost, delivering neuromorphic boards to each university competition team.”

BrainChip Named Official Technology Sponsor for Raytheon’s “Operation Touchdown” Autonomous Vehicle Competition | BrainChip

What happens when you give university students neuromorphic AI and tell them to land a drone on a moving vehicle autonomously? That's exactly the challenge at the heart of the Raytheon Autonomous Vehicle Competition: "Operation Touchdown" and BrainChip is proud to be the Official Technology...

www.linkedin.com

View attachment 95467


View attachment 95468

BrainChip Named Technology Sponsor for 2025–2026 Raytheon Autonomous Vehicle Competition | Dr. Steve Harbour, PhD

It’s encouraging to see neuromorphic processors moving from research labs into real-world autonomous systems challenges. Competitions like the Raytheon AVC are exactly where edge intelligence gets tested - collaborative UAV/UGV autonomy, real-time decision-making, constrained power budgets, and...

www.linkedin.com

 

[Pom down under]

I can’t find any mention of BrainChip in either the post itself or in the link it points to.

Bringing BrainChip into this without any source is, at best, speculation based on wishful thinking … and at worst, an attempt to mislead people.

Unless someone can provide a direct reference …official announcement, filing, press release, or an explicit mention by the author…, this should be treated as pure guesswork.

My opinion only

Your sounding more and more like? Everyday

 

[7für7]

Your sounding more and more like? Everyday

Still positive in matters of tech progress… but not about the share price…

And now I understand why some of the best and most informative posters here eventually disappeared. What used to be a discussion about facts has, for some, turned into a speculation machine: people constantly read things into harmless statements … without any solid evidence.

And so far, many of those “100% Akida / the deal is fixed” claims have simply been wrong.

Being positive because someone tests or mentions our technology is absolutely fine. But immediately turning that into “licenses, contracts, or an upcoming partnership” is just wishful thinking.

If someone sees objectivity as negativity, I can’t help them .. I’d rather stick to what’s actually verifiable.
Oddly enough, hardly anyone reacts to posts like mine…

And sure, I also post a lot of nonsense sometimes … but that’s only because I’m bored and I want to trigger the usual people who only react to that kind of stuff. There’s otherwise nothing truly price-relevant to talk about right now. So enjoy continuing to attack me if you want. (Not you personally…in general… but you too haha)

Ps I’m waiting still for the 20cents lol

 

[ChrisBRN]

Steve Brightfield Article

From Wearables to Networks: How Predictive AI Could Transform Cognitive Health by 2026

From Wearables to Networks: How Predictive AI Could Transform Cognitive Health by 2026

www.thefastmode.com

 

[manny100]

Still positive in matters of tech progress… but not about the share price…

And now I understand why some of the best and most informative posters here eventually disappeared. What used to be a discussion about facts has, for some, turned into a speculation machine: people constantly read things into harmless statements … without any solid evidence.

And so far, many of those “100% Akida / the deal is fixed” claims have simply been wrong.

Being positive because someone tests or mentions our technology is absolutely fine. But immediately turning that into “licenses, contracts, or an upcoming partnership” is just wishful thinking.

If someone sees objectivity as negativity, I can’t help them .. I’d rather stick to what’s actually verifiable.
Oddly enough, hardly anyone reacts to posts like mine…

And sure, I also post a lot of nonsense sometimes … but that’s only because I’m bored and I want to trigger the usual people who only react to that kind of stuff. There’s otherwise nothing truly price-relevant to talk about right now. So enjoy continuing to attack me if you want. (Not you personally…in general… but you too haha)

Ps I’m waiting still for the 20cents lol

When there is gaps between information or quick results from a company its quite normal for posters to fill the blanks often by guessing, dot joining and over analysing small things. Ambiguous signals get amplified etc.
Posting what you say is 'nonsense' just fills in time between those frustrating information gaps.
Its all part of forum life especially in emerging stocks in emerging sectors.
Take all that away and there is not much left especially when there are fairly long time gaps between news releases.
Yes its been a long wait but if I dwell on the past my view of the future will become blurred.
I remain confident in the future of Neuromorphic Edge AI and Brainchip.

 

[Guzzi62]

Some posters just can't shut the fxxx up when there is nothing to say!

They absolutely have to say something, anything, it's like their whole world revolve around the BRN forums.

Off course, it's not against the rules, so knock yourself out!

I will not post from now on unless we hear something of real importance, IBM persons posting on LI don't count, but something associated with $$$ to BRN.

Good luck everybody.