BRN Discussion Ongoing

[Pom down under]

Unfortunately that same exact sentence has been regurgitated quite a few times over the last 2 years. Its nothing new. Example from a feb 23 article below
View attachment 69465

 

[Rach2512]

Unfortunately that same exact sentence has been regurgitated quite a few times over the last 2 years. Its nothing new. Example from a feb 23 article below
View attachment 69465

So if it's over two years old, we must be getting very close. Thanks for sharing

 

[IloveLamp]

Nintendo Switch 2 first game officially announced

One oft he first games arriving to the Nintendo Switch 2 has been announced

www.gamingbible.com

 

[IloveLamp]

Zero-Shot Embedded Neural Architecture Search for On-board Satellite Tasks & Hardware Accelerators – SPAICE

spaice.esa.int

Abhishek Roy Choudhury on LinkedIn: Zero-Shot Embedded Neural Architecture Search for On-board Satellite Tasks…

Today, I had the pleasure to present our work at ESA's ECSAT facility in Harwell, UK. Our paper got accepted for oral presentation at SPAICE Conference 2024 -…

www.linkedin.com

 

[Food4 thought]

Now why would Mr Lewis like this???

 

[Diogenese]

Brainchip redacted?

All the indications are that we are still working with Mercedes, but this Mercedes EQXX page no longer mentions Akida:

https://www.mercedes-benz.com/en/innovation/concept-cars/vision-eqxx-the-new-benchmark-of-effiency

In addition the concurrent article from January 2022 in Motortrend is now dated March 2024:

https://www.motortrend.com/events/m...c_tw_social_MT_220103_sf252559662#sf252559662

Mercedes-Benz Vision EQXX Concept: Did You See This Coming, Elon?​

The establishment strikes back, as the stunning EV shows what a legacy automaker is capable of.
Angus MacKenzieWriterMar 06, 2024

One sentence from that originally 2022 article contains reference to Akida hardware AND software. At the time, I took "software" to be a reference to speech models, but, in light of the more recent specualtion that MB could be using Akida 2/TeNNs simulation software, I see this as adding weight to that hypothesis.

Mercedes engineers worked with California-based artificial-intelligence developer BrainChip to create systems based on the company's Akida hardware and software.

That led to the share price spike and LdN's "Nothing to see here!", so maybe there was an agreement to revert to stealth mode ...

If a company, all alone on the internet says "We are using Akida" and no one hears it ...

I stumbled across this as I was compiling a chronology of MBs AI involvement:

2020 NVIDIA Orin:

Mercedes-Benz and NVIDIA: Software-Defined Computing Architecture for Automated Driving Across Future Fleet. | Mercedes-Benz Group

Mercedes-Benz, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles...

group.mercedes-benz.com

June 23, 2020 – Mercedes-Benz, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling them with upgradable automated driving functions.
...
Automated driving functions in future Mercedes-Benz cars will be powered by NVIDIA’s next generation DRIVE platform. The computer system-on-chip (SoC), called Orin, is based on the recently announced NVIDIA Ampere supercomputing architecture.


2022 Akida

Akida's association with MB appears 18 months after NVIDIA.

2023 ChatGPT

Mercedes-Benz takes in-car voice control to a new level with ChatGPT | Mercedes-Benz Group

Mercedes-Benz is further expanding the use of artificial intelligence and integrating it into the voice control of its vehicles as the next step. By adding ChatGPT, voice control via the MBUX Voice Assistant's Hey Mercedes will become even more intuitive

group.mercedes-benz.com

June 16, 2023 – Mercedes-Benz is further expanding the use of artificial intelligence and integrating it into the voice control of its vehicles as the next step. By adding ChatGPT, voice control via the MBUX Voice Assistant's Hey Mercedes will become even more intuitive. An optional beta programme will start June 16, 2023 in the U.S. for over 900.000 vehicles equipped with the MBUX infotainment system.¹

Mercedes-Benz MBUX Voice Assistant has already set industry standards and is known for its intuitive operation and a large command portfolio. Driver and passengers can receive sports and weather updates, have questions answered about their surroundings or even control their smart homes.

ChatGPT complements the existing intuitive voice control via Hey Mercedes.

The words used in relation to ChatGPT suggest it is augmenting "Hey Mercedes!", not replacing it.

 

[Flenton]

'Called Hey Commbank'

How long is this bow I'm drawing

Major Aussie bank announces move that will affect customers and staff

The trial of the new technology could replace some of the bank’s employees.

7news.com.au

 

[Monkeymandan]

Unfortunately that same exact sentence has been regurgitated quite a few times over the last 2 years. It’s

nothing new. Example from a feb 23 article below
View attachment 69465

And there was me thinking I could finally make a worthwhile contribution after lurking in the background the last 18 months with nothing valuable to say.

While I’m here though - thanks to all the regular contributors and in particular those who share technical insight. I am convinced holders patience will be rewarded within the next 12 months.

 

[manny100]

Brainchip redacted?

All the indications are that we are still working with Mercedes, but this Mercedes EQXX page no longer mentions Akida:

https://www.mercedes-benz.com/en/innovation/concept-cars/vision-eqxx-the-new-benchmark-of-effiency

In addition the concurrent article from January 2022 in Motortrend is now dated March 2024:

https://www.motortrend.com/events/m...c_tw_social_MT_220103_sf252559662#sf252559662

Mercedes-Benz Vision EQXX Concept: Did You See This Coming, Elon?​

The establishment strikes back, as the stunning EV shows what a legacy automaker is capable of.
Angus MacKenzieWriterMar 06, 2024

One sentence from that originally 2022 article contains reference to Akida hardware AND software. At the time, I took "software" to be a reference to speech models, but, in light of the more recent specualtion that MB could be using Akida 2/TeNNs simulation software, I see this as adding weight to that hypothesis.

Mercedes engineers worked with California-based artificial-intelligence developer BrainChip to create systems based on the company's Akida hardware and software.

That led to the share price spike and LdN's "Nothing to see here!", so maybe there was an agreement to revert to stealth mode ...

If a company, all alone on the internet says "We are using Akida" and no one hears it ...

I stumbled across this as I was compiling a chronology of MBs AI involvement:

2020 NVIDIA Orin:

Mercedes-Benz and NVIDIA: Software-Defined Computing Architecture for Automated Driving Across Future Fleet. | Mercedes-Benz Group

Mercedes-Benz, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles...

group.mercedes-benz.com

June 23, 2020 – Mercedes-Benz, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling them with upgradable automated driving functions.
...
Automated driving functions in future Mercedes-Benz cars will be powered by NVIDIA’s next generation DRIVE platform. The computer system-on-chip (SoC), called Orin, is based on the recently announced NVIDIA Ampere supercomputing architecture.


2022 Akida

Akida's association with MB appears 18 months after NVIDIA.

2023 ChatGPT

Mercedes-Benz takes in-car voice control to a new level with ChatGPT | Mercedes-Benz Group

Mercedes-Benz is further expanding the use of artificial intelligence and integrating it into the voice control of its vehicles as the next step. By adding ChatGPT, voice control via the MBUX Voice Assistant's Hey Mercedes will become even more intuitive

group.mercedes-benz.com

June 16, 2023 – Mercedes-Benz is further expanding the use of artificial intelligence and integrating it into the voice control of its vehicles as the next step. By adding ChatGPT, voice control via the MBUX Voice Assistant's Hey Mercedes will become even more intuitive. An optional beta programme will start June 16, 2023 in the U.S. for over 900.000 vehicles equipped with the MBUX infotainment system.¹

Mercedes-Benz MBUX Voice Assistant has already set industry standards and is known for its intuitive operation and a large command portfolio. Driver and passengers can receive sports and weather updates, have questions answered about their surroundings or even control their smart homes.

ChatGPT complements the existing intuitive voice control via Hey Mercedes.

The words used in relation to ChatGPT suggest it is augmenting "Hey Mercedes!", not replacing it.

For interest, see below a presentation from about 6 months ago where Sean talks about Mercedes involvement subject to an NDA from circa 6 minute mark.
Also talks about the 1000, and 1500 chips and the reasons for producing them in silicon.
Overall a very interesting presentation. Well worth a watch.
I think we can be comfortable that Merc is still involved with BRN. My impression is that is for the futuristic Merc and not at this stage for production line cars.
Brainchip (ASX:BRN): All systems go in 2024! (youtube.com)

 

[DK6161]

New 2024 Mercedes EQ saloon spotted on the road | Auto Express

Fresh spy pictures give us our best look yet at new Mercedes EV

www.autoexpress.co.uk

View attachment 69460

Good to hear there is still a strong connection with MB.
The lack of news previously suggest that MB was scrapping the Akida MB.OS.
This year can F right off. Bring on 2025!

 

[Diogenese]

For interest, see below a presentation from about 6 months ago where Sean talks about Mercedes involvement subject to an NDA from circa 6 minute mark.
Also talks about the 1000, and 1500 chips and the reasons for producing them in silicon.
Overall a very interesting presentation. Well worth a watch.
I think we can be comfortable that Merc is still involved with BRN. My impression is that is for the futuristic Merc and not at this stage for production line cars.
Brainchip (ASX:BRN): All systems go in 2024! (youtube.com)

Thanks manny,

Like most of us, I keep wondering "Are we nearly there yet?"

 

[DingoBorat]

'Called Hey Commbank'

How long is this bow I'm drawing

Major Aussie bank announces move that will affect customers and staff

The trial of the new technology could replace some of the bank’s employees.

7news.com.au

I hate A.I. assistants..

And this one's going to be "conversational"?..

That would piss me off even more, if an A.I. bot, was trying to make small talk with me.. And be "friendly"..

 

[Evermont]

Brainchip redacted?

All the indications are that we are still working with Mercedes, but this Mercedes EQXX page no longer mentions Akida:

https://www.mercedes-benz.com/en/innovation/concept-cars/vision-eqxx-the-new-benchmark-of-effiency

In addition the concurrent article from January 2022 in Motortrend is now dated March 2024:

https://www.motortrend.com/events/m...c_tw_social_MT_220103_sf252559662#sf252559662

Mercedes-Benz Vision EQXX Concept: Did You See This Coming, Elon?​

The establishment strikes back, as the stunning EV shows what a legacy automaker is capable of.
Angus MacKenzieWriterMar 06, 2024

One sentence from that originally 2022 article contains reference to Akida hardware AND software. At the time, I took "software" to be a reference to speech models, but, in light of the more recent specualtion that MB could be using Akida 2/TeNNs simulation software, I see this as adding weight to that hypothesis.

Mercedes engineers worked with California-based artificial-intelligence developer BrainChip to create systems based on the company's Akida hardware and software.

That led to the share price spike and LdN's "Nothing to see here!", so maybe there was an agreement to revert to stealth mode ...

If a company, all alone on the internet says "We are using Akida" and no one hears it ...

I stumbled across this as I was compiling a chronology of MBs AI involvement:

2020 NVIDIA Orin:

Mercedes-Benz and NVIDIA: Software-Defined Computing Architecture for Automated Driving Across Future Fleet. | Mercedes-Benz Group

Mercedes-Benz, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles...

group.mercedes-benz.com

June 23, 2020 – Mercedes-Benz, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling them with upgradable automated driving functions.
...
Automated driving functions in future Mercedes-Benz cars will be powered by NVIDIA’s next generation DRIVE platform. The computer system-on-chip (SoC), called Orin, is based on the recently announced NVIDIA Ampere supercomputing architecture.


2022 Akida

Akida's association with MB appears 18 months after NVIDIA.

2023 ChatGPT

Mercedes-Benz takes in-car voice control to a new level with ChatGPT | Mercedes-Benz Group

Mercedes-Benz is further expanding the use of artificial intelligence and integrating it into the voice control of its vehicles as the next step. By adding ChatGPT, voice control via the MBUX Voice Assistant's Hey Mercedes will become even more intuitive

group.mercedes-benz.com

June 16, 2023 – Mercedes-Benz is further expanding the use of artificial intelligence and integrating it into the voice control of its vehicles as the next step. By adding ChatGPT, voice control via the MBUX Voice Assistant's Hey Mercedes will become even more intuitive. An optional beta programme will start June 16, 2023 in the U.S. for over 900.000 vehicles equipped with the MBUX infotainment system.¹

Mercedes-Benz MBUX Voice Assistant has already set industry standards and is known for its intuitive operation and a large command portfolio. Driver and passengers can receive sports and weather updates, have questions answered about their surroundings or even control their smart homes.

ChatGPT complements the existing intuitive voice control via Hey Mercedes.

The words used in relation to ChatGPT suggest it is augmenting "Hey Mercedes!", not replacing it.

Still in the original release @Diogenese

VISION EQXX – taking electric range and efficiency to an entirely new level

Range and efficiency are set to define the electric era. Exceptional range will make electric cars suitable for every journey and help to increase overall adoption.

media.mbusa.com

 

[Diogenese]

Still in the original release @Diogenese

VISION EQXX – taking electric range and efficiency to an entirely new level

Range and efficiency are set to define the electric era. Exceptional range will make electric cars suitable for every journey and help to increase overall adoption.

media.mbusa.com

Thanks,

I checked a different page.

Afterthought: Electronic bookmarks aren't a patch on the good old postit note, although they do tend to clutter up the screen.

 

[Tothemoon24]

 

[genyl]

Because he thinks it is exciting? The guy simply likes other posts that interest him. It got nothing to do with brainfart.Got damn you need some reality sense. And If you don't believe me, time will tell you that this got nothing to do with brainchip

Now why would Mr Lewis like this??

 

[Slade]

I don’t like putting people on ignore but some make the list with a single post.

 

[Labsy]

I don’t like putting people on ignore but some make the list with a single post.

Ditto...I squished that blow fly

 

[Quercuskid]

Ditto...I squished that blow fly

Yep emerged is now submerged

 

[Gazzafish]

Great read and really confirms the future in my
Mind. Right product. Right time

Unleashing Gen AI on Edge Devices | Digital Experience

The convergence of generative AI and edge computing represents a pivotal moment in the evolution of artificial intelligence.

digitalexperience.live

Generative AI and Edge Computing: Unleashing LLMs at the Edge​

In the rapidly evolving landscape of artificial intelligence, two transformative technologies are converging to reshape the future of computing: generative AI and edge computing. As C-suite executives, understanding this intersection is crucial for staying ahead in an increasingly AI-driven world.

The Power of Generative AI Meets the Agility of Edge Computing​

Generative AI, particularly Large Language Models (LLMs), has demonstrated unprecedented capabilities in natural language processing, content creation, and problem-solving. However, these models have traditionally required substantial computational resources, limiting their deployment to cloud-based infrastructures.

Enter edge computing, a paradigm that brings computation and data storage closer to the point of need. By combining generative AI with edge computing, we're on the cusp of a revolution that could democratize access to advanced AI capabilities.

The Challenge: Bringing LLMs to Resource-Constrained Devices​

Deploying LLMs on edge devices presents significant challenges:

1. Computational Constraints: Edge devices often have limited processing power and memory.
2. Energy Efficiency: Many edge devices operate on battery power, requiring energy-efficient AI solutions.
3. Model Size: LLMs can be several gigabytes in size, far exceeding the storage capacity of many edge devices.
4. Real-time Performance: Edge applications often require low-latency responses, challenging for complex AI models.

Innovative Solutions: Making the Impossible Possible​

Despite these challenges, innovative approaches are emerging to bring the power of LLMs to the edge:

1. Model Compression Techniques​

• Quantization: Reducing the precision of model parameters without significant loss in accuracy.
• Pruning: Removing unnecessary connections in neural networks to reduce model size.
• Knowledge Distillation: Creating smaller, faster models that mimic the behavior of larger ones.

2. Specialized Hardware​

• AI Accelerators: Custom chips designed for efficient AI computations on edge devices.
• Neuromorphic Computing: Brain-inspired architectures that promise higher energy efficiency for AI tasks.

3. Distributed AI Architectures​

• Federated Learning: Enabling edge devices to collaboratively learn a shared model while keeping data locally.
• Split Inference: Dividing model layers between edge devices and the cloud to balance computation.

4. Adaptive AI Models​

• Dynamic Neural Networks: Models that can adjust their architecture based on the available resources.
• Continual Learning: Allowing models to learn and adapt to new data on the edge device itself.

The Business Impact: Why C-Suite Executives Should Care​

The convergence of generative AI and edge computing isn't just a technological marvel—it's a game-changer for businesses across industries:

1. Enhanced Privacy and Security: Processing sensitive data locally reduces the risk of data breaches and complies with data regulations.
2. Reduced Latency: Real-time AI responses enable new use cases in robotics, autonomous vehicles, and IoT.
3. Cost Efficiency: Decreasing reliance on cloud infrastructure can significantly reduce operational costs.
4. Improved Reliability: Edge AI continuesto function even with unreliable network connections.
5. New Market Opportunities: Enabling AI on resource-constrained devices opens up new product categories and markets.

Industry Applications: The Future is Now​

The impact of edge-based generative AI is already being felt across various sectors:

1. Healthcare: AI-powered diagnostic tools running on handheld devices, bringing advanced healthcare to remote areas.
2. Manufacturing: Real-time quality control and predictive maintenance powered by on-device AI.
3. Retail: Personalized shopping experiences delivered through AI-enabled point-of-sale systems.
4. Automotive: Advanced driver assistance systems (ADAS) with on-board natural language processing.
5. Smart Cities: Intelligent traffic management and public safety systems operating at the edge.

Strategies for C-Suite Executives​

To capitalize on this technological convergence, consider the following strategies:

1. Invest in R&D: Allocate resources to explore edge AI solutions tailored to your industry.
2. Foster Partnerships: Collaborate with tech leaders and startups specializing in edge AI and hardware acceleration.
3. Rethink Data Strategy: Develop a comprehensive edge data strategy that balances centralized and decentralized approaches.
4. Upskill Your Workforce: Invest in training programs to build internal capabilities in edge AI development and deployment.
5. Pilot Projects: Initiate small-scale edge AI projects to gain practical insights and demonstrate value.
6. Prioritize Security: Implement robust security measures for edge devices running AI models.
7. Stay Informed: Keep abreast of advancements in model compression and edge AI hardware.

The Road Ahead: Challenges and Opportunities​

While the potential of edge-based generative AI is immense, challenges remain:

1. Standardization: The lack of industry standards for edge AI could lead to fragmentation.
2. Ethical Considerations: Ensuring responsible AI practices on distributed edge devices.
3. Integration Complexity: Seamlessly integrating edge AI with existing cloud and on-premises infrastructure.

However, these challenges also present opportunities for forward-thinking organizations to lead and shape the future of AI at the edge.

Conclusion: Seizing the Edge AI Opportunity​

The convergence of generative AI and edge computing represents a pivotal moment in the evolution of artificial intelligence. By bringing the power of LLMs to resource-constrained devices, we're unlocking new possibilities that were once thought impossible.

As C-suite executives, the time to act is now. Those who successfully navigate this technological shift will not only drive innovation within their organizations but also play a crucial role in shaping the future of computing.

The edge AI revolution is here. Are you ready to lead from the front?