BRN Discussion Ongoing

[Guzzi62]

12-top-emerging-technologies-to-catch​

10.Neuromorphic Computing
​

The energy inefficiency of traditional GPU architectures has become a bottleneck. To tackle that, neuromorphic computing introduces brain-inspired hardware designed to replicate how biological neurons process information.

What happens is that neuromorphic systems use spiking neural networks and parallel architectures that activate only when needed. They do not process data sequentially like conventional chips, so they reduce power consumption and enable real-time learning and pattern recognition.

Neuromorphic chips are gaining attention in 2026 for edge AI, robotics, autonomous systems, and IoT devices. They are useful where low latency and ultra-low power usage are critical.

BrainChip, a leader in the field, launched its AKD2500 silicon development project in February 2026. This $2.5 million project aims to integrate its next-generation Akida 2.0 neuromorphic architecture into silicon using TSMC’s 12-nanometer process. Prototype silicon is expected in Q3 of 2026.

Industry analysts predict commercial neuromorphic solutions will hit the market soon, as energy demands from AI continue to grow.

12 Top Emerging Technologies to Catch in 2026

Every decade has a moment where the future seems to arrive all at once.

iexchange.substack.com

 

[Fullmoonfever]

Another update a few hours ago to close the gap between Python model "training" and production C++ "deployment".

GitHub - Brainchip-Inc/AkidaCPPInferenceDeploymentPackage

Contribute to Brainchip-Inc/AkidaCPPInferenceDeploymentPackage development by creating an account on GitHub.

github.com

Brainchip-Inc/AkidaCPPInferenceDeploymentPackage

Akida C++ Inference Deployment Package​

Overview​

This package provides a complete, working example of deploying a trained Akida neural network model as a standalone C++ application on a Linux host. It bridges the gap between Python-based model training and production C++ deployment without requiring Python at runtime.

What's Included​

• Complete C++ inference pipeline (src/inference.cpp) with detailed comments explaining each API call
• Linux system implementation (src/system_linux.cpp) for required runtime hooks
• Model conversion script (scripts/convert_model.py) to transform .fbz models to C++ binaries
• Test input generator (scripts/generate_test_input.py) for validation against Python results
• Ready-to-build CMake configuration (src/CMakeLists.txt)

Target Use Case​

You have:

• A trained Keras model converted to Akida format (.fbz file)
• Validated the model works in Python using the Akida SDK
• An AKD1000 or AKD1500 device connected to a Linux host via PCIe

You want:

• A standalone C++ application that runs inference without Python
• Production-ready code you can integrate into your existing C++ codebase
• Full control over the inference pipeline (batching, latency measurement, pre/post-processing)

 

[7für7]

Is the buy side increasing maybe??

 

[HopalongPetrovski]

Is the buy side increasing maybe??

Don't think so.
Still those 10 million in prop bids down the bottom distorting the picture for anyone taking a quick glance at it.

 

[Pom down under]

Don't think so.
Still those 10 million in prop bids down the bottom distorting the picture for anyone taking a quick glance at it.

Isn’t it great when you see the SP increase by nearly 4% then realize the sell line has massively dropped from 2,855,332 to 2,855,329

 

[manny100]

Whilst we are all desperate to see deals, no amount of hope or dot joining can change the facts.

Kevin could not be any clearer "I can't speak for the whole of IBM or about product decisions as this isn't my role"

It's one thing to wish for something, but it's just plain misleading to try and suggest that Kevin is talking for IBM.



View attachment 95398

Simple fact is the linked Kevin D. Johnson's post last night contained the IBM logo. Say no more - that is IBM endorsement.
BRN is in the Early Adopter stage for new tech.
No one is saying BRN is risk free but early stage buying is where the huge profits are for those that understand the stock and are willing to buy and wait.
Megachips, Parsons, Bascom Hunter, Onsor, MetaGuard, Raytheon, Frontgrade. Successful testing and great ROI by Kevin Johnson is bullish.
A shorter of course would say IBM would walk away and leave it to competitors. The fact is the IBM connection is validation in a big way.

Kevin D. Johnson
• Following
Field CTO – HPC, AI, LLM & Quantum Computing | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF
13h •
This piece by Rob Thomas on AI and COBOL is worth reading because it draws a distinction that deserves more attention: translating code and modernizing a platform are not the same thing. Code is the visible layer. The value also lives underneath.
A mainframe environment processing billions of transactions daily carries what I would call exponential wisdom: the effective use of systemic knowledge that compounds through implementation over time. Each integration builds on the last. Each optimization at one layer improves the behavior of every layer above and below it. The performance characteristics, the resilience, the security posture, all of them are hard won by implementation and use over decades. That compounding is what produces sub-millisecond response times and eight nines of availability.
The word "modernization" tends to overlook this because it surfaces an expectation that one platform can simply be exchanged for another, treating decades of compounding systemic wisdom as incidental rather than foundational. Sure, the code can be translated. The exponential results mainframes provide, not so much.
In fact, organizations seeing real returns from AI are not using it to displace proven platforms. Companies effectively leading in AI are leveraging exponential wisdom directly: orchestrating workloads across heterogeneous infrastructure, routing inference to the right compute at the right time, interpreting system output in natural language, and extending what the platform offers without altering what makes it work.
IBM Spectrum Symphony exists precisely for this purpose and every demo I've put up on LinkedIn over the last couple of months has followed this paradigm. As a dynamic compute platform, Symphony orchestrates AI workloads across the full breadth of an enterprise's infrastructure.
That's why I can build a closed loop system that combines the proven capabilities of IBM Quantum and BrainChip's neuromorphic accelerators. That's why we can use foundation models to interpret and explain COBOL without needing to think we have to replace what works day in and day out.

This fits IBM because IBM's approach is exponential technical wisdom at institutional scale. A company that has been implementing enterprise systems for over a century carries a depth of integration knowledge that goes well beyond what any modernization framework captures. The company arrived there through a century of compounding technical implementations under real conditions for real enterprises. That institutional gravitas is not incidental, it's the foundation of everything we do.

AI is at its most powerful when it leverages the wisdom offered by decades of system performance and capability included in dynamic compute platforms that let every system do what it does best. AI, placed on the right dynamic compute platform, does not compete with that value. It compounds it further.… more

 

[Jacob Kiraz]

Simple fact is the linked Kevin D. Johnson's post last night contained the IBM logo. Say no more - that is IBM endorsement.
BRN is in the Early Adopter stage for new tech.
No one is saying BRN is risk free but early stage buying is where the huge profits are for those that understand the stock and are willing to buy and wait.
Megachips, Parsons, Bascom Hunter, Onsor, MetaGuard, Raytheon, Frontgrade. Successful testing and great ROI by Kevin Johnson is bullish. A shorter of course would say IBM would walk away and leave it to competitors.

Kevin D. Johnson
• Following
Field CTO – HPC, AI, LLM & Quantum Computing | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF
13h •
This piece by Rob Thomas on AI and COBOL is worth reading because it draws a distinction that deserves more attention: translating code and modernizing a platform are not the same thing. Code is the visible layer. The value also lives underneath.
A mainframe environment processing billions of transactions daily carries what I would call exponential wisdom: the effective use of systemic knowledge that compounds through implementation over time. Each integration builds on the last. Each optimization at one layer improves the behavior of every layer above and below it. The performance characteristics, the resilience, the security posture, all of them are hard won by implementation and use over decades. That compounding is what produces sub-millisecond response times and eight nines of availability.
The word "modernization" tends to overlook this because it surfaces an expectation that one platform can simply be exchanged for another, treating decades of compounding systemic wisdom as incidental rather than foundational. Sure, the code can be translated. The exponential results mainframes provide, not so much.
In fact, organizations seeing real returns from AI are not using it to displace proven platforms. Companies effectively leading in AI are leveraging exponential wisdom directly: orchestrating workloads across heterogeneous infrastructure, routing inference to the right compute at the right time, interpreting system output in natural language, and extending what the platform offers without altering what makes it work.
IBM Spectrum Symphony exists precisely for this purpose and every demo I've put up on LinkedIn over the last couple of months has followed this paradigm. As a dynamic compute platform, Symphony orchestrates AI workloads across the full breadth of an enterprise's infrastructure.
That's why I can build a closed loop system that combines the proven capabilities of IBM Quantum and BrainChip's neuromorphic accelerators. That's why we can use foundation models to interpret and explain COBOL without needing to think we have to replace what works day in and day out.

This fits IBM because IBM's approach is exponential technical wisdom at institutional scale. A company that has been implementing enterprise systems for over a century carries a depth of integration knowledge that goes well beyond what any modernization framework captures. The company arrived there through a century of compounding technical implementations under real conditions for real enterprises. That institutional gravitas is not incidental, it's the foundation of everything we do.

AI is at its most powerful when it leverages the wisdom offered by decades of system performance and capability included in dynamic compute platforms that let every system do what it does best. AI, placed on the right dynamic compute platform, does not compete with that value. It compounds it further.… more

Until it comes out in a ASX Announcement or somebody endorses it I'll believe it,
But wouldn't the buzz be exciting and the sharepricr skyrocket,
At this stage its nothing

 

[manny100]

Until it comes out in a ASX Announcement or somebody endorses it I'll believe it,
But wouldn't the buzz be exciting and the sharepricr skyrocket,
At this stage its nothing

Do you think the IBM logo on his post is a fake? If so, we can expect Kevin to be sacked within a day or 2 - no one would survive that.
Its validation in a big way.
Kevin Johnson of IBM is endorsing AKIDA.
If you are chasing quick returns you have picked the wrong stock. Its new tech in the Early Adopter Stage - no shortcuts.
So you think there is no hope of success for BRN?
It's still patience from here.

 

[7für7]

@manny100 The logo is just because of the articles thumbnail I guess… but ether way… it’s positive that he is mentioning us so often and even working on something by himself….

 

[manny100]

The logo is just because of the articles thumbnail I guess… but ether way… it’s positive that he is mentioning us so often and even working on something by himself….

As an employee of IBM he would be prohibited from writing a private opinion contrary to IMB beliefs using IBM logos.. If he did he would be sacked.
Its a huge endorsement of AKIDA.

 

[jrp173]

Simple fact is the linked Kevin D. Johnson's post last night contained the IBM logo. Say no more - that is IBM endorsement.
BRN is in the Early Adopter stage for new tech.
No one is saying BRN is risk free but early stage buying is where the huge profits are for those that understand the stock and are willing to buy and wait.
Megachips, Parsons, Bascom Hunter, Onsor, MetaGuard, Raytheon, Frontgrade. Successful testing and great ROI by Kevin Johnson is bullish.
A shorter of course would say IBM would walk away and leave it to competitors. The fact is the IBM connection is validation in a big way.

Kevin D. Johnson
• Following
Field CTO – HPC, AI, LLM & Quantum Computing | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF
13h •
This piece by Rob Thomas on AI and COBOL is worth reading because it draws a distinction that deserves more attention: translating code and modernizing a platform are not the same thing. Code is the visible layer. The value also lives underneath.
A mainframe environment processing billions of transactions daily carries what I would call exponential wisdom: the effective use of systemic knowledge that compounds through implementation over time. Each integration builds on the last. Each optimization at one layer improves the behavior of every layer above and below it. The performance characteristics, the resilience, the security posture, all of them are hard won by implementation and use over decades. That compounding is what produces sub-millisecond response times and eight nines of availability.
The word "modernization" tends to overlook this because it surfaces an expectation that one platform can simply be exchanged for another, treating decades of compounding systemic wisdom as incidental rather than foundational. Sure, the code can be translated. The exponential results mainframes provide, not so much.
In fact, organizations seeing real returns from AI are not using it to displace proven platforms. Companies effectively leading in AI are leveraging exponential wisdom directly: orchestrating workloads across heterogeneous infrastructure, routing inference to the right compute at the right time, interpreting system output in natural language, and extending what the platform offers without altering what makes it work.
IBM Spectrum Symphony exists precisely for this purpose and every demo I've put up on LinkedIn over the last couple of months has followed this paradigm. As a dynamic compute platform, Symphony orchestrates AI workloads across the full breadth of an enterprise's infrastructure.
That's why I can build a closed loop system that combines the proven capabilities of IBM Quantum and BrainChip's neuromorphic accelerators. That's why we can use foundation models to interpret and explain COBOL without needing to think we have to replace what works day in and day out.

This fits IBM because IBM's approach is exponential technical wisdom at institutional scale. A company that has been implementing enterprise systems for over a century carries a depth of integration knowledge that goes well beyond what any modernization framework captures. The company arrived there through a century of compounding technical implementations under real conditions for real enterprises. That institutional gravitas is not incidental, it's the foundation of everything we do.

AI is at its most powerful when it leverages the wisdom offered by decades of system performance and capability included in dynamic compute platforms that let every system do what it does best. AI, placed on the right dynamic compute platform, does not compete with that value. It compounds it further.… more

The only reason the IBM log in on the Kevin's post, is because Kevin has reposted an article written by Rob Thomas, SVP, Software and Chief Commercial Officer at IBM, and the IBM logo is at the top of Rob Thomas' article.

 

[manny100]

The only reason the IBM log in on the Kevin's post, is because Kevin has reposted an article written by Rob Thomas, SVP, Software and Chief Commercial Officer at IBM, and the IBM logo is at the top of Rob Thomas' article.

That is irrelevant.
The fact is Kevin D. Johnson posted it as an employee of IBM containing an endorsement of Brainchip. If this was contrary to IBM beliefs he would have noted on the post that 'this is not necessarily the view of IBM'.
As a CTO he would be aware of his obligations and would not be posting at all about Symphony/AKIDA without very senior IBM knowledge.
Otherwise his posting would have been ceased after his first post.
Its a sure thing that IBM clients and competitors would be aware of his posts. This can only be good for Brainchip.
There is more to all of this than meets the eye.

 

[HopalongPetrovski]

The only reason the IBM log in on the Kevin's post, is because Kevin has reposted an article written by Rob Thomas, SVP, Software and Chief Commercial Officer at IBM, and the IBM logo is at the top of Rob Thomas' article.

Kevin does not strike me as either a fool or inexperienced in his area of expertise and both the propagation and dissemination of such.
I doubt he is unaware of the fact that the IBM logo is attached to the material he is producing.
He has made no bones about using the Akida name and has frequently and openly used and associated both BrainChip and IBM.
He has also stated quite clearly that he is not in a position to speak on IBM's behalf in any "official capacity " regarding any contractual relationship between IBM and BrainChip, at this time.

 

[7für7]

As an employee of IBM he would be prohibited from writing a private opinion contrary to IMB beliefs using IBM logos.. If he did he would be sacked.
Its a huge endorsement of AKIDA.

Hmm, I’m not sure about that. He can have his own opinions as a tech-interested person, and when he talks about tech he may simply be sharing what he finds interesting. As long as he doesn’t violate any NDA (which, in this case, doesn’t appear to exist), he can talk about technology as much as he wants.

He already stated he cannot speak on behalf of IBM and that he’s sharing purely out of personal interest. Anything beyond that is wishful thinking … and, frankly, “hallucination.”

But just my opinion DYOR

 

[manny100]

Hmm, I’m not sure about that. He can have his own opinions as a tech-interested person, and when he talks about tech he may simply be sharing what he finds interesting. As long as he doesn’t violate any NDA (which, in this case, doesn’t appear to exist), he can talk about technology as much as he wants.

He already stated he cannot speak on behalf of IBM and that he’s sharing purely out of personal interest. Anything beyond that is wishful thinking … and, frankly, “hallucination.”

But just my opinion DYOR

Kevin D. Johnson
• Following
Field CTO – HPC, AI, LLM & Quantum Computing | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF
He clearly states his position at IBM at the top of this post - see above. Clearly posting as an employee.
There can be no private about a post where you post in this fashion unless you make it very clear to readers (no fine print).
I would be amazed if IBM did not support the types of results Kevin is getting with AKIDA.
In fact they likely would be applauding and encouraging his work - that is business reality.

 

[Rach2512]

Sorry if already posted. Lots of interesting comments.

Neuromorphic Computing Revolution: Intel's Hala Point System | Samarjith Biswas, PhD posted on the topic | LinkedIn

What if the key to sustainable AI was hiding inside your head all along? Your brain — right now, as you read this — is running on roughly 20 watts. That's less than a dim light bulb. Yet it's orchestrating 86 billion neurons, each firing across ~7,000 synaptic connections, processing the...

www.linkedin.com

 

[FuzM]

CES video 2024

Fuelling the IBM story, fast forward to 7:45

 

[Rach2512]

Memristor Chip Learns to Suppress Seizures in Real-Time | NeuromorphicCore.AI posted on the topic | LinkedIn

𝗖𝗮𝗻 𝗮 𝗠𝗶𝗰𝗿𝗼𝗰𝗵𝗶𝗽 𝗟𝗲𝗮𝗿𝗻 𝘁𝗼 𝗦𝘁𝗼𝗽 𝗮 𝗦𝗲𝗶𝘇𝘂𝗿𝗲? Following yesterday’s story on memristor hardware designed to predict seizures in advance from recorded EEG data, this new research explores a different question. Instead of forecasting when a seizure might occur, the system learns ongoing activity...

www.linkedin.com

Can a Microchip Learn to Stop a Seizure? - NeuromorphicCore.ai

Researchers developed a memristor-based neuromorphic chip that continuously learns seizure propagation patterns in a simulated hippocampal network and triggers real-time inhibitory feedback using nanowatt-scale hardware.

neuromorphiccore.ai

 

[Jacob Kiraz]

CES video 2024

Fuelling the IBM story, fast forward to 7:45

Oh dear he dropped the IBM BOMB, But the shareprice is drifting to under 10 cents, we need news , Watch us Soon

 

[7für7]

Kevin D. Johnson
• Following
Field CTO – HPC, AI, LLM & Quantum Computing | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF
He clearly states his position at IBM at the top of this post - see above. Clearly posting as an employee.
There can be no private about a post where you post in this fashion unless you make it very clear to readers (no fine print).
I would be amazed if IBM did not support the types of results Kevin is getting with AKIDA.
In fact they likely would be applauding and encouraging his work - that is business reality.

he’s said multiple times he can’t speak for IBM — and that he has no financial interest in BrainChip.

Genuine question: did you read what he wrote, or just the headline/link?

A job title in the header doesn’t equal IBM endorsement. If IBM was officially behind this, we wouldn’t be decoding it from LinkedIn posts.
After years of the same “IBM is involved” rumors getting disproven by time, anyone still reading this as something firm… I can’t really help anymore.

Cool tech demo, nothing more at this stage.

My opinion only… DYOR