BRN Discussion Ongoing

[DingoBorat]

Nitpicking? Hang on, you literally wrote


hence my comment about the research partnerships they recently announced, and besides, research partnerships can of course eventually lead to the real deal. Why do you think they are doing such research in the first place?! Just for fun? Would they pick partners they could never ever imagine signing a deal with? And how about Akida in the EQXX - was that not research that could potentially lead to the signing of an IP license?

At least we can agree on “So we continue to speculate.”

We’ll likely need quite a bit of patience, though, as the journalists who were recently shown around MB’s Future Technologies Lab, were told by MB’s neuromorphic researchers that the technology were “still in its infancy” and required “extensive testing and certification” before going into production cars, saying they were expecting the hardware to be available in the 2030s…

cf references to various online articles





Which also means that BrainChip’s current advantage of already having a commercially available neuromorphic chip or IP is no longer going to be that relevant in a few years’ time. For the time being, research chips will do…

"We’ll likely need quite a bit of patience, though, as the journalists who were recently shown around MB’s Future Technologies Lab, were told by MB’s neuromorphic researchers that the technology were “still in its infancy” and required “extensive testing and certification” before going into production cars, saying they were expecting the hardware to be available in the 2030s…"

Although I'm not really excited, about what I consider to be a dwindling industry (Great publicity, but) I don't think their "expecting the hardware to be available in the 2030s…" statement is a blanket one, relating to all use cases of Neuromorphic Technology, in their cars.

I think it's more likely, that that particular statement, refers to ADAS type applications.

It just doesn't make sense to me, to assume that it relates to things like voice control and infotainment type applications also, because they don't require "certification" for a start..

 

[Pom down under]

Having just read through the Sean post over at the crapper I’ve come to the conclusion that if anyone wants to block 90% of the posters that constantly find a way off attacking the company, then nows your chance.

 

[Meatloaf]

"We’ll likely need quite a bit of patience, though, as the journalists who were recently shown around MB’s Future Technologies Lab, were told by MB’s neuromorphic researchers that the technology were “still in its infancy” and required “extensive testing and certification” before going into production cars, saying they were expecting the hardware to be available in the 2030s…"

Although I'm not really excited, about what I consider to be a dwindling industry (Great publicity, but) I don't think their "expecting the hardware to be available in the 2030s…" statement is a blanket one, relating to all use cases of Neuromorphic Technology, in their cars.

I think it's more likely, that that particular statement, refers to ADAS type applications.

It just doesn't make sense to me, to assume that it relates to things like voice control and infotainment type applications also, because they don't require "certification" for a start..

I agree with you. First of all, you are correct in stating that the car manufacturing is a dwindling industry. Especially now, considering the costs involved in producing vehicles.
MB stating that neuromorphic is at the infancy stage tells me, that they are working on technology that will be a game changer in the industry.
I don’t consider EV’s to be that game changer. There are currently arguments whether EV’s are good for the environment due to the fact that to produce the batteries is not very environmentally friendly.

So what could MB be working on besides EV’s with a luxury experience. To me it has to be driverless vehicles. Although, several companies are working on driverless vehicles, it has not been perfected. Google, Tesla and other companies have been working on driverless vehicles for years. What else would require extensive testing and certification?

Currently, I’m not hoping for an IP with a vehicle manufacturer. I believe it would be more beneficial for Brn to score an IP contract with a telecommunications company or a company involved with assistive aids such as: hearing aids, eye wear or technologies that get rid of eye wear, robotics, home appliances etc.

Brn are positioning themselves to play a part in every industry. Partnerships, although time consuming, are what will ensure our success in the near future, hopefully. As I have learnt, a lot of patience is required.

The AI industry is developing at such a fast pace atm, it is both scary and exciting.
Who was it that said:
“We live in exciting times”.

Just my opinion

 

[Baisyet]

Welcome to the Keyword Spotting Revolution

As smart devices, wearables, and consumer appliances increasingly rely on voice interaction, they face a critical challenge: efficiently managing energy consumption to support these interactions.

Keyword spotting technology offers a game-changing solution by enabling devices to process data and respond only after a specific keyword or phrase is detected. This not only extends battery life but also enhances privacy by minimizing unnecessary data processing.

Discover how BrainChip’s innovative technology is transforming industries -from consumer wearables and healthcare to smart home appliances and beyond.

LeadGen KWS - LP

Welcome to the Keyword Spotting Revolution: Where Intelligent Voice Interaction meets Real-World Applications Smart devices, wearables and even consumer appliances are becoming increasingly dependant on voice interaction, yet technology solutions are challenged with efficiently controlling the...

bit.ly

BrainChip on LinkedIn: #voiceinteraction #keywordspotting #aiinnovation #smartdevices

Welcome to the Keyword Spotting Revolution As smart devices, wearables, and consumer appliances increasingly rely on voice interaction, they face a critical…

www.linkedin.com

 

[manny100]

OpenAI warns DeepSeek 'distilled' its AI models, reports

OpenAI has accused Chinese AI start-up DeepSeek of using its proprietary models to train an open-source competitor.

www.newsweek.com

Details of reports DeepSeek is suspected of 'distillation' which is used to smaller models to kebmverage offlarger more advanced models.
Well worth a read.

 

[Sosimple]

Linkin

 

[Tothemoon24]

Linkin

Welcome to the Keyword Spotting Revolution: Where Intelligent Voice Interaction meets Real-World
Applications​

Smart devices, wearables and even consumer appliances are becoming increasingly dependant on voice interaction, yet technology solutions are challenged with efficiently controlling the energy required to support these very specific interactions within the devices.

How to Determine when Device
interaction is Needed ​

Identify Keywords to match​

Are they recognized?​

Device interacts and listens.​

If the keywords are not recognized, the device does not attempt to process any data, which elongates battery life and provides an additional layer of user privacy.

This is Keyword Spotting (KWS)​

Devices detect specific wake words and phrases and interact only when there is a match.

• Reduces User Latency
• Ensures Privacy
• Improves Power Efficiency
• Significantly Reduces

This technology powers the functionality behind familiar voice-activated systems, making them responsive and user-friendly. However, as devices evolve and user expectations grow, Keyword Spotting is now occurring locally on devices, without cloud connectivity.
You no longer need to be a large cloud provider to offer a “hello” and wake up service for devices.

Why Keyword Spotting?​

Keyword Spotting is a technology that listens for specific words or phrases in an audio stream, triggering a response from a device. Once known only for waking up a device service that routes the rest of the voice from your home or smartphone device to a server in the cloud, Keyword Spotting can be deployed locally to interpret a wide set of in context commands, such as “lock the door” or “set the microwave for 1 minute.”
The key is the device’s ability to locally monitor audio input in a low-power state until it detects the specified keyword, allowing the system to save battery or compute power until needed, which is particularly important for devices such as wearables and other IoT devices. Having a small library of key words enables local control of a device without any other interface.

Key Benefits​

Lower Cost of Ownership​

Local edge processing allows devices to operate without relying on cloud connectivity, reducing operational costs.

Reduced Latency​

Responses are nearly instantaneous, providing a natural voice interface, without the need for round trips to the cloud and back.

Enhanced Privacy​

Audio data stays on the device, there’s no risk of personal information being eavesdropped on by remote servers.
There are a host of examples of how this can benefit users in scenarios like a vehicle,where commands like “turn on the lights” or “check for maintenance” offer a betterexperience than searching for switches or menus. It enables instant, connection-freeresponses, which is crucial for safety.

 

[charles2]

Devices detect specific wake words and phrases and interact only when there is a match.

• Reduces User Latency
• Ensures Privacy
• Improves Power Efficiency
• Significantly Reduces???????

Significantly reduces WHAT?

A version of Keyword Spotting might edit errors like this.

 

[Plebby]

Just a thought - contemplating the Dec 10 announcement relating to the defense contract that was won.

Is there any chance that the negotiations with the sub-contractor to enter the agreement have already been made/finalised and that reaching the agreement was not considered to be price sensitive news?

It states in the announcement that there are no additional considerations to make the contract legally binding. Is there some chance that a privacy conscious company has finalised the agreement and asked BRN not to announce?

Given BRN have already stated the financial terms of the contract they may consider their obligation to the market fulfilled?

 

[Sosimple]

View attachment 76935

Welcome to the Keyword Spotting Revolution: Where Intelligent Voice Interaction meets Real-World​

Applications​

Smart devices, wearables and even consumer appliances are becoming increasingly dependant on voice interaction, yet technology solutions are challenged with efficiently controlling the energy required to support these very specific interactions within the devices.

How to Determine when Device​

interaction is Needed ​

Identify Keywords to match​

Are they recognized?​

Device interacts and listens.​

If the keywords are not recognized, the device does not attempt to process any data, which elongates battery life and provides an additional layer of user privacy.

This is Keyword Spotting (KWS)​

Devices detect specific wake words and phrases and interact only when there is a match.

• Reduces User Latency
• Ensures Privacy
• Improves Power Efficiency
• Significantly Reduces

This technology powers the functionality behind familiar voice-activated systems, making them responsive and user-friendly. However, as devices evolve and user expectations grow, Keyword Spotting is now occurring locally on devices, without cloud connectivity.
You no longer need to be a large cloud provider to offer a “hello” and wake up service for devices.

Why Keyword Spotting?​

Keyword Spotting is a technology that listens for specific words or phrases in an audio stream, triggering a response from a device. Once known only for waking up a device service that routes the rest of the voice from your home or smartphone device to a server in the cloud, Keyword Spotting can be deployed locally to interpret a wide set of in context commands, such as “lock the door” or “set the microwave for 1 minute.”
The key is the device’s ability to locally monitor audio input in a low-power state until it detects the specified keyword, allowing the system to save battery or compute power until needed, which is particularly important for devices such as wearables and other IoT devices. Having a small library of key words enables local control of a device without any other interface.

Key Benefits​

Lower Cost of Ownership​

Local edge processing allows devices to operate without relying on cloud connectivity, reducing operational costs.

Reduced Latency​

Responses are nearly instantaneous, providing a natural voice interface, without the need for round trips to the cloud and back.

Enhanced Privacy​

Audio data stays on the device, there’s no risk of personal information being eavesdropped on by remote servers.
There are a host of examples of how this can benefit users in scenarios like a vehicle,where commands like “turn on the lights” or “check for maintenance” offer a betterexperience than searching for switches or menus. It enables instant, connection-freeresponses, which is crucial for safety.

Thanks for putting up the details Tothemoon
I'm not very handy with tech

 

[Pom down under]

Is today going to be a pump day from the traders and then a sell off day tomorrow?

 

[Braintonic]

Is today going to be a pump day from the traders and then a sell off day tomorrow?

I'll go sell off today and a pump late tomorrow before the weekend. FOMO
Based on "absolutely nothing!"
Very hard to see with this short sightedness but the long view is very clear to me.

 

[DK6161]

Is today going to be a pump day from the traders and then a sell off day tomorrow?

What's your game plan Pom? Sell a bit tomorrow, then buy again next week?

 

[Pom down under]

What's your game plan Pom? Sell a bit tomorrow, then buy again next week?

Let me know what your going and I’ll follow

 

[Labsy]

My 2cent thought for the month
Deepseek, a new wiz bang LLM mysteriously condensed and tweeked to function in current edge devices like laptops and mobiles... Meta and Google feverishly dissecting and picking at the open source to see how they can improve their own LLM's on same principles. Privacy is a big advantage of apple who are wanting to implement LLM on device The market rewards Meta and Apple with increase in sp movement, in news of emergence of Deepseek open source
This is a massive plus for us. I know we are actively working on and promoting the potential of using akida to run Small language models on edge. This will be a match made in heaven.
Have I got this totally wrong guys?

 

[uiux]

BrainChip + RTX

https://thestockexchange.com.au/threads/brainchip-rtx.260422/

 

[Humble Genius]

Why is BRN going into trading status "pre open" sporadically this morning?
This is on the Westpac app.....

 

[supersonic001]

BrainChip on LinkedIn: #voiceinteraction #keywordspotting #aiinnovation #smartdevices

Welcome to the Keyword Spotting Revolution As smart devices, wearables, and consumer appliances increasingly rely on voice interaction, they face a critical…

www.linkedin.com

 

[Doz]

Mercedes main man about to unleash 35 patents at ISSCC 2025 .

 

[Touchstone]

Why is BRN going into trading status "pre open" sporadically this morning?
This is on the Westpac app.....

Westpac app is having problems.