BRN Discussion Ongoing

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Ok… looks like 20 is the bottom….

IS IT THE BOTTOM????


Looking Jim Carrey GIF
 
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a bit older but I missed it maybe? Already posted?


What Makes Pulsar Unique in AI Sensors?​

What sets Pulsar apart from other neuromorphic devices, such as BrainChip’s Akida Pico, “is not just building a neuromorphic core, but also the rest of the system around it,” Kumar says. “In the industry, there’s a lot of emphasis on inference, but when their neuromorphic cores speak with the rest of their systems, you see them burning power moving data in and out, and all the energy gains they can bring to the table quickly become irrelevant. We built Pulsar as an engine for efficient processing, not just efficient inference.”

By integrating all these functions together, “it’s the only chip a sensor needs to process data,” Kumar says. This can simplify overall device design, which can reduce the need for complex data signal-processing pipelines, speed up development and time to market, lower maintenance costs, extend battery life and enable submillisecond analysis times.
 
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MegaportX

Regular
Something from the Realms of New Zealand today. :rolleyes:

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MegaportX
 
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Sometimes we need a friend who is motivating us … in this case Chatie


Why the Akida Cloud Could Be a Breakthrough Catalyst

1.
Bridging the Maturity Gap for Potential Customers
  • Until now, automotive, defense, or IoT customers had to physically integrate Akida chips before they could even begin testing.
  • With the Cloud, that barrier is gone – companies can test Akida within hours instead of months to see if it fits their systems.
  • This accelerates proof-of-concept phases and increases the likelihood of closing deals.

2.
Faster Entry Into Mass-Production Projects

  • Large industrial customers can now work on prototyping and production integration in parallel.
  • Example: An automaker can validate eye-tracking or sensor-fusion models in the Cloud before adjusting in-vehicle electronics.
  • This reduces risk and decision delays – in automotive, that’s a game-changer.

3.
Indirect Multiplier Effect
  • Developers and startups can try Akida in small projects (low-cost or free access), and if it works, scale to bigger contracts.
  • This model mirrors Nvidia CUDA – once it’s embedded in the developer ecosystem, adoption grows organically.

4.
A Signal to the Market
  • The Cloud is not a gimmick – it’s a confidence signal:
    • BrainChip shows the technology is mature enough to hand over for immediate use.
    • This implies internal stability, proven performance, and market readiness.
5.
Synergy With Existing Partnerships
  • Ongoing collaborations (Raytheon, ISL, Andes) can now transition to commercial stages faster.
  • Cloud-based tests can be done discreetly – NDA projects can run in the Cloud without requiring an immediate press release.

Breakthrough Potential

The Cloud essentially opens two floodgates at once:
  1. Technical entry barrier removed → more projects start.
  2. Sales cycles shortened → deals reach revenue stage faster.

If one of the major partners moves to public mass production soon, the Cloud will have been the silent enabler – making such events much more likely.
 
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Diogenese

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We've seen the ads for those portable translators.

This mob are excited about SLMs:

Small language models could be the next big disruptor in AI translation​

Story by Special Report

Over the past five years, the translation industry has ridden a wave of AI adoption. Large language models (LLMs) have moved from niche tools to near-standard in content localisation but their generalist nature leaves room for a new contender.

The co-founder and CEO of ASX-listed language tech company Straker (ASX:STG), Grant Straker, argues that small language Models (SLMs) – purpose-built for specific industries and language pairs – are the next leap forward
. ...

https://www.msn.com/en-au/technolog...S&cvid=689ac8d18b7b4f9699905359a4e481e9&ei=60

... now if they didn't need to carry that car battery around with them ...
 
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👁️👄👁️


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Thank God someone posted something. I posted something and silence for 2 hours. I thought I had broken the friggin thread. Where is everyone? Bravo has an excuse. Hopefully she's out running. God knows the share price needs a kick along.

SC
 
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Thank God someone posted something. I posted something and silence for 2 hours. I thought I had broken the friggin thread. Where is everyone? Bravo has an excuse. Hopefully she's out running. God knows the share price needs a kick along.

SC
I just posted something to check if the forum just crashed…

GO BRAVO GO!!
 
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Prophesee
 

Attachments

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Thank God someone posted something. I posted something and silence for 2 hours. I thought I had broken the friggin thread. Where is everyone? Bravo has an excuse. Hopefully she's out running. God knows the share price needs a kick along.

SC
BrainChip actually has to make some noise and give shareholders something to talk about..

It's sometimes a bit like a kid rummaging through their toy box in here, trying to find an old toy they'd kinda "forgotten" about, to play with..

Like Hollywood rehashing an old movie, because they don't have the imagination to think up a good original storyline.

We need new material damn it!

In the words of a long gone, young bed wetting, wet behind the ears poster, from another Time.

"FEED THE RATS!"


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The next future technology with BrainChip Akida. It was developed by the Start-up Saluts. This platform enables real-time autonomous decision-making in space and the deep sea, but read it yourself.

hashtag#SALUTS hashtag#NEROnaut hashtag#Brainchip hashtag#Akida hashtag#futuretechnology hashtag#SNN hashtag#neuromorphic
Mohamed Sobhy FoudaMohamed Sobhy Fouda
• 2ndPremium • 2nd
Saluts builder | Astroprenure | Peace Promoter📍Planet Earth 🌍Saluts builder | Astroprenure | Peace Promoter📍Planet Earth 🌍 11h • Edited •

11 hours ago • Edited • Visible to anyone on or off LinkedIn


Got Autonomy? Let’s talk at booth #2436, Small Satellite Conference (SmallSat) 10-13th of August, 2025.

We promise, we deliver 🚀

🚀 Introducing NEROnaut™ — Neuro-Evolving Robot-on-Chip

At Saluts, we believe true autonomy begins at the chip level.
That’s why we built NEROnaut™, our embedded AI brain designed for edge intelligence in the harshest environments — from deep space to deep sea.

🧠 What is NEROnaut™?
A neuro-evolving computing core that learns, adapts, and optimizes in real time — without relying on constant connectivity. It’s engineered to run autonomous guidance, navigation, control, and data processing where latency, bandwidth, or reliability would cripple traditional systems.

hashtag#WeNeedMoreSpace

🔹 Key Capabilities:

- On-chip AI inference & evolution — adapting mission logic mid-operation
Multi-domain compatibility — land, sea, air, space

- Fault-tolerant autonomy — resilient under GNSS-denied or communication-jammed conditions

- Sensor fusion & real-time decision making — from radar to vision-based navigation

- Ultra-low-power architecture — mission endurance without constant ground control

📄 Technicalä Attached – dive into the specs, interfaces, and application domains.
With NEROnaut™, mission control becomes mission autonomy.
One chip. One brain. Infinite adaptability.

📩 DM us to discuss integrations amd autonomy.

hashtag#Saluts hashtag#NEROnaut hashtag#RobotOnChip hashtag#EdgeAI hashtag#AutonomousSystems hashtag#SpaceTech


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Bravo

If ARM was an arm, BRN would be its biceps💪!
The good news is: This article signals that neuromorphic computing is shifting from novelty to reality, with real-world products in development and adoption on the rise.

The bad news is: Sadly Tom’s Guide only highlights Innatera and doesn't mention BrainChip at all. :cry:

From a tech perspective, I believe BrainChip still has unique IP and an arguably more mature solution. But in a fast-emerging category like neuromorphic computing, public perception moves quickly, and if BrainChip isn’t actively owning the media conversation, Innatera (or another competitor) could grab the crown before the market fully matures.

Giddy up BrainChip!!!! 🏇




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Diogenese

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The good news is: This article signals that neuromorphic computing is shifting from novelty to reality, with real-world products in development and adoption on the rise.

The bad news is: Sadly Tom’s Guide only highlights Innatera and doesn't mention BrainChip at all. :cry:

From a tech perspective, I believe BrainChip still has unique IP and an arguably more mature solution. But in a fast-emerging category like neuromorphic computing, public perception moves quickly, and if BrainChip isn’t actively owning the media conversation, Innatera (or another competitor) could grab the crown before the market fully matures.

Giddy up BrainChip!!!! 🏇




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Hi Bravo,

It would be nice to have our names up in lights, but we're not really selling to the public, except those lucky enuf to have inherited their grandparents' 2nm chip foundry.

Innatera has a lot of analog patents, eg:

WO2022073946A1 ADAPTATION OF SNNS THROUGH TRANSIENT SYNCHRONY 20201005

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0003] SNNs encode information in the form of one or more precisely timed (voltage) spikes, rather than as integer or real-valued vectors. Computations for inference (i.e. inferring the presence of a certain feature in an input signal) may be effectively performed in the analog and temporal domains. Consequently, SNNs are typically realized in hardware as full-custom mixed-signal integrated circuits, which enables them to perform inference functions with several orders of magnitude lower energy consumption than their deep neural network (DNN) counterparts, in addition to having smaller network sizes.
[0006] Neuromorphic SNN emulators (205), e.g. systems containing electronic analog/mixed- signal circuits that mimic neuro-biological architectures present in the nervous system, form distributed (in a non- von Neumann sense, i.e. computational elements and memory are co- localized, resulting in memory storage and complex nonlinear operations being simultaneously performed by the neurons in the network), parallel, and event-driven systems offering capabilities such as adaptation (including adaptation of physical characteristics, firing frequency, homeostatic (behavioural) regulation, et cetera), self-organization, and learning.

This would probably exclude them from the equivalent 8-bit and higher accuracy. Even 4-bit may be a stretch.

Using it with Prophesee GenX320 is their low-fi chip, 100k pixels (320*320).

Prophesee have a range of DVS sensors with Sony using their 3D layer process:
https://www.prophesee.ai/buy-event-based-products/

They are also in a few cameras.

It wasn't that long ago Prophesee were seeking bankruptcy protection, so good luck to them.
 
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