BRN Discussion Ongoing

[itsol4605]

#brainchip #edgeai #imagine2025 | Edge Impulse (a Qualcomm company)

What a lineup of partners! Imagine 2025, happening on October 1st, will bring 20 incredible companies to the Computer History Museum, all showing their technology demonstrating groundbreaking edge AI applications. Be sure to check them all out. Register for Imagine here...

www.linkedin.com

 

[FJ-215]

So what did you do about it.??

Some light reading.

Don't think I want to wait until the next AGM

 

[Gies]

Qualcomm and Brainchip, partners for life.

#brainchip #edgeai #imagine2025 | Edge Impulse (a Qualcomm company)

What a lineup of partners! Imagine 2025, happening on October 1st, will bring 20 incredible companies to the Computer History Museum, all showing their technology demonstrating groundbreaking edge AI applications. Be sure to check them all out. Register for Imagine here...

www.linkedin.com

 

[Diogenese]

Qualcomm and Brainchip, partners for life.

#brainchip #edgeai #imagine2025 | Edge Impulse (a Qualcomm company)

What a lineup of partners! Imagine 2025, happening on October 1st, will bring 20 incredible companies to the Computer History Museum, all showing their technology demonstrating groundbreaking edge AI applications. Be sure to check them all out. Register for Imagine here...

www.linkedin.com

Please delete before @Bravo sees it!

 

[itsol4605]

Please delete before @Bravo sees it!

Qualcomm, AWS,..., and Brainchip
...in the Computer History Museum

 

[Fullmoonfever]

Didn't realise, but is nice to see, that users of DeGirum get access to Akida NSoC V1 & 2 AND....AKD1500 as well from earlier this year.

Release Notes | DeGirum Docs

This page features release notes for releases of PySDK. You may download PySDK versions listed here from PyPI.org

docs.degirum.com

 

[Rach2512]

Early Access Program - TSP1 Developer Boards | Applied Brain Research

JOIN EARLY ACCESS 👉 https://lnkd.in/gU_dqae5 Pioneering Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) Capability on Device - full vocabulary, no cloud, ultra low latency, ultra low power Tired of expensive cloud costs for speech AI? Can’t run ASR/TTS/Translation all day on a...

www.linkedin.com

 

[Fullmoonfever]

Good to see Moschips still running with us as a partner. Thought they may have dropped off but....nope.

Turnkey ASIC, Product & AI Engineering USA | MosChip

MosChip provides turnkey ASIC design services, product engineering services that includes IoT, AI/ML, Data services, Cloud with design centers across US & India.

moschip.com

 

[7für7]

Early Access Program - TSP1 Developer Boards | Applied Brain Research

JOIN EARLY ACCESS 👉 https://lnkd.in/gU_dqae5 Pioneering Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) Capability on Device - full vocabulary, no cloud, ultra low latency, ultra low power Tired of expensive cloud costs for speech AI? Can’t run ASR/TTS/Translation all day on a...

www.linkedin.com

Would be interesting to know more about that

BrainChip Signs Joint Development And Marketing Agreement With Applied Brain Research

www.biospace.com

 

[TECH]

Despite the dismal share price, there is plenty going on, we are ALL being tested, and as the years have continued to tick by with many I'd suggest haven fallen by the wayside, I will admit that I'm rusted on until the fruit is delivered, either delicious or rotten..I simply say, ask yourself these questions, has the technology continued to grow ? has any other company really excelled at the edge with regards revenue to date ? has our patent fence been breached ?
If you listened to Dr. JT in that recent 6 man panel he talked about the paranoid behaviours being very common amongst companies sharing code etc with 3rd parties in their persuit of assessing if another companies tech is a good fit for their product roadmap moving forward, even admitting that we, Brainchip are just as paranoid in protecting our technology.

OpenAI seems to have gained and is gaining a bigger foothold in this market that is clearly advancing so rapidly that players haven't yet established the right protocol's within their own business modelling to cope, which was suggested was the cause of what appears to be companies caught up in quicksand, as in delays to clearly commit because of the rapid change being witnessed at the coalface.

Regarding staff movements, or being told to walk the plank, the Ethics that Brainchip has committed to are very clear, especially the Code of Conduct that all staff must abide by, it's available for any shareholder to read and absorb.

The final comment tonight is this:

THE CLOCK IS TICKING

Tech

 

[Pom down under]

The final comment tonight is this

THE CLOCK IS TICKING

Tech

And

 

[Tothemoon24]

Thrilled to share our latest publication!
Our paper "Eco-Efficient Deployment of Spiking Neural Networks on Low-Cost Edge Hardware" has been accepted in IEEE Networking Letters.
In this work, we present a practical and energy-aware framework for deploying Spiking Neural Networks (SNNs) on low-cost edge devices such as Raspberry Pi 5 paired with the BrainChip Akida PCIe accelerator.
Key highlights:
A reproducible deployment pipeline integrating training, quantization, and conversion for SNNs.
Demonstration of secure remote access and distributed neuromorphic intelligence via SSH, MQTT, V2X, and federated learning.
Real-world use cases showcasing sub-millisecond inference latency and ultra-low energy consumption (<1W).
A roadmap for scalable, eco-efficient neuromorphic AI at the edge.
This work provides a blueprint for sustainable, distributed intelligence that bridges the gap between neuromorphic theory and real-world deployment.
Code & documentation: https://lnkd.in/dyzeN3_2 Full text (Open Access): https://lnkd.in/d6Ua-7_U This work is part of the PhD thesis of Fernando Sevilla co-supervised by Laia Subirats (Universitat Oberta de Catalunya) and myself (Centre Tecnològic de Telecomunicacions de Catalunya (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) under Sustainable Artificial Intelligence (SAI) research unit) and the collaboration of Jordi Casas-Roma (Universitat Autònoma de Barcelona). Great work on contributing towards an Open Neuromorphic community! #CTTC #SAI

https://ieeexplore.ieee.org/document/11171617

GitHub - SevillaFe/SNN_Akida_RPI5: Eco-Efficient Deployment of Spiking Neural Networks on Low-Cost Edge Hardware

Eco-Efficient Deployment of Spiking Neural Networks on Low-Cost Edge Hardware - SevillaFe/SNN_Akida_RPI5

github.com

 

[Tothemoon24]

New podcast

IoT Spotlight - EP 226 - Neuromorphic for LLMs on the Edge - Sean Hehir, CEO, BrainChip | Asia Growth Partners

EP 226 - Neuromorphic for LLMs on the Edge - Sean Hehir, CEO, BrainChip - In this episode, we spoke with Sean Hehir, CEO, and

asiagrowthpartners.com

 

[7für7]

“Time is ticking?”
Well… in relativity, time isn’t absolute at all. Past, present, and future all coexist – it’s just us BrainChip shareholders stuck in an endless present of announcement-announcements.

While Einstein bent spacetime, Sean hire stein bent our patience here. ️

“Shareprice is relative”
Quote Sean hirestein

And
View attachment 91649

 

[Mazewolf]

New podcast ?

View attachment 91653
View attachment 91654

IoT Spotlight - EP 226 - Neuromorphic for LLMs on the Edge - Sean Hehir, CEO, BrainChip | Asia Growth Partners

EP 226 - Neuromorphic for LLMs on the Edge - Sean Hehir, CEO, BrainChip - In this episode, we spoke with Sean Hehir, CEO, and

asiagrowthpartners.com

"
Erik: So, Jonathan, it sounds like LLM on the edge is not quite here yet, but you're expecting it within one or two years to be capable. Can you explain?

Jonathan: Yeah, I would say less than that. We've demonstrated it, and we expect to have a product by the end of the year...."
A product by the end of the year, nice!

 

[7für7]

"
Erik: So, Jonathan, it sounds like LLM on the edge is not quite here yet, but you're expecting it within one or two years to be capable. Can you explain?

Jonathan: Yeah, I would say less than that. We've demonstrated it, and we expect to have a product by the end of the year...."
A product by the end of the year, nice!

Sounds promising

 

[goodvibes]

IMAGINE 2025

AKIDA 2.0 FPGA @ 25 MHz

#edgeai #embeddedsystems #embeddedai #edgeml #imagine2025 #mlops #aiops #machinelearning #ai #embeddedml | BrainChip

We’re excited to join the global edge AI community at Imagine 2025, hosted by Edge Impulse (a Qualcomm company), on October 1st at the Computer History Museum in Mountain View, California, and live online This year marks the 5th anniversary of Imagine, the premier edge AI conference bringing...

www.linkedin.com

We’re excited to join the global edge AI community at Imagine 2025, hosted by Edge Impulse (a Qualcomm company), on October 1st at the Computer History Museum in Mountain View, California, and live online

This year marks the 5th anniversary of Imagine, the premier edge AI conference bringing together innovators, researchers, and industry leaders to showcase real-world breakthroughs, hands-on demos, and the future of edge AI development.

We’ll be on-site at our booth Stop by to see a live demo of our Akida IP running anomaly detection with FOMO-AD from Edge Impulse. It’s your chance to experience Akida in action and talk with our team about how neuromorphic technology is redefining performance, efficiency, and possibilities at the edge

See you at Imagine 2025!

Event details: October 1, 2025 | 10:00 AM – 5:00 PM PDT | Mountain View, CA + Livestream
Livestream link: https://lnkd.in/g8kCWY46
More information: edgeimpulse.com/imagine

 

[goodvibes]

In this episode, we spoke with Sean Hehir, CEO, and Jonathan Tapson, Chief Development Officer, of BrainChip about neuromorphic computing for edge AI. We covered why event-based processing and… | IoT ONE

In this episode, we spoke with Sean Hehir, CEO, and Jonathan Tapson, Chief Development Officer, of BrainChip about neuromorphic computing for edge AI. We covered why event-based processing and sparsity let devices skip 99% of useless sensor data, why joules per inference is a more honest metric...

www.linkedin.com

Listen the full conversation with Sean and Jonathan at the Industrial IoT Spotlight podcast:
+ IoT ONE Podcast Page: https://lnkd.in/dK6f6mxK
+ Apple Podcasts: https://lnkd.in/fF27x-6
+ Spotify Podcasts: https://lnkd.in/gDN22fV

In this episode, we spoke with Sean Hehir, CEO, and Jonathan Tapson, Chief Development Officer, of BrainChip about neuromorphic computing for edge AI. We covered why event-based processing and sparsity let devices skip 99% of useless sensor data, why joules per inference is a more honest metric than TOPS, how PPA (power, performance, area) guides on-device design, and what it will take to run a compact billion-parameter LLM entirely on device.

We also discussed practical use cases like seizure-prediction eyewear, drones for beach safety, and efficiency upgrades in vehicles, plus BrainChip’s adoption path via MetaTF and its IP-licensing business model.

Key insights:

• Neuromorphic efficiency. Event-based compute minimizes data transfer and optimizes for joules per inference, enabling low-power, real-time applications in medical, defense, industrial IoT, and automotive.

• LLMs at the edge. Compact silicon and state-based designs are pushing billion-parameter models onto devices, achieving useful performance at much lower power.

• Adoption is designed to be straightforward. Models built in standard frameworks can be mapped to BrainChip’s Akida platform using MetaTF, with PPA guiding silicon optimization and early evaluation possible through simulation and dev kits.

• Compelling use cases. Examples include seizure-prediction smart glasses aiming for all-day battery life in a tiny form factor and drones scanning beaches for distressed swimmers. Most current engagements are pure on-edge, with hybrid edge-plus-cloud possible when appropriate.