BRN Discussion Ongoing

[DK6161]

Yes. Let's not forget that, while the world and his wife are familiar with the use of OpenAi's GPT "X", they do not have a clue as to how it works, let alone the underlying technology. However, we are seeing frequent examples of the tech world's increasing awareness.

One field of tech where Akida's potential is as yet untapped is in the implementation of LLMs.

Sensors (microphones, cameras, ...) and keyboards are essential input devices, and the input signals need to be converted to a format which the system can interpret. This requires the system management processor to be able to interpret natural language. Doing that purely in software burns a lot of electricity. Akida 2 introduces long range skip connexions:

https://brainchip.com/akida-generations/

With the added support for short and long-range skip connections, an akidaTM neural processor can now accelerate complex neural networks such as ResNet completely in hardware without model computations on a host CPU.
Skip connections are implemented by storing data from previous layers in the akidaTM mesh or in a scratchpad memory for combination with data in later layers.

Key Benefits:​

• Complex Network Acceleration: Enables complete hardware execution of non feed-forward model architectures such as ResNet and DenseNet.
• Low Latency: Eliminates CPU interaction during network evaluation which minimizes model latency.

By performing these functions in silicon, Akida reduces both power usage and latency compared with earlier LSTM/Attention software implementations.

Akida 2 provides a much more efficient foundation for implementing LLMs and particularly SLMs (Small Language Models adapted for edge applications). However, for the moment, the cloud-based Chat GPT and its LLMs have the advantage of incumbency despite their unsustainable growth in energy consumption. Nvidia's Jensen Huang is rightfully proud of the 2.5 times improvement in power consumption of Blackwell, but that is not sufficient to mitigate the exponential growth in power consumption to contain it within acceptable limits.

Akida offers orders of magnitude greater improvement, particularly with the use of SLMs at the edge. Akida has the potential to be the foundation stone of all things GPT. The development of SLMs is just some of the lead in Akida's saddlebags.

While Edge GPT is the present Holy Grail, there is a myriad of other applications for Akida which can be implemented in the near term.

ADAS - DMS - UI - lidar/..., space, SDR, Edge Box, ...

For startup companies, the rational basis for assessing share price is the market potential of the product.

The problem is that the share price is the plaything of manipulators who take advantage of the fact that many shareholders and potential shareholders do not fully grasp the potential of this revolutionary technology, and the fact that the pre-income phase has been longer than anyone anticipated. One reason for the delay in revenue is that the technology is evolving at an unprecedented rate, LSTM, Attention, 4-bit weights and actuations, Chat GPT, TeNNs, ViT, ... Remember, Akida 2 is just 1 year old.

Added to that is the fact that the company has made a few mis-steps or changed course over the last few years in an attempt to come to grips with an entirely unheralded market. The company was metaphorically feeling its way in the dark and needed to test the waters to see which way the current flows ... and the current has not flowed smoothly.

So there are a lot of factors to be taken into account which no one could have foreseen a few years ago. This has been a learning experience for the shareholders and the company.

Great reminder. Thankyou

 

[Bravo]

Bravo Here Here

Yes, I‘m here.

 

[White Horse]

Hi all,
Some here have found evidence of Ukraine studying our Akida chip.
This youtube video shows how inventive they have become because of the war.
I can see several opportunities for the application of our technology.

 

[Fullmoonfever]

Interesting concept by what appears to be a start up out of Istanbul.

Not dug around much as just saw them on a search.

If I read correct, the offering is to use their MindCraft tool (nice spin on the game MineCraft) that can drop their Artificial Brain model onto a host neuromorphic chip......like ours for one.

Didn't realise Orin was neuromorphic though

Artificial Brain | BRAIN-on-a-Chip

Artificial Brain: Technology that makes machines smarter.

www.confederation.ai

 

[TECH]

Good morning all,

The drawings have now been included with the Accenture Global Solutions Patent Application.

Looks extremely promising, doesn't it....the writings on the wall, Peter, Anil, Tony and all our wonderful team/s globally are heading
to the summit, the buying price of our shares is really unbelievable, opportunities like this may never come by in our lifetime again.

Sorry to keep repeating myself, but I truly love what Brainchip represents...AKIDA FOR PRESIDENT Tech.

Espacenet – search results

Espacenet: free access to millions of patent documents. Find out if your invention is unique or if other inventors have filed patent applications that are considered to be prior art.

worldwide.espacenet.com

 

[Tezza]

Good morning all,

The drawings have now been included with the Accenture Global Solutions Patent Application.

Looks extremely promising, doesn't it....the writings on the wall, Peter, Anil, Tony and all our wonderful team/s globally are heading
to the summit, the buying price of our shares is really unbelievable, opportunities like this may never come by in our lifetime again.

Sorry to keep repeating myself, but I truly love what Brainchip represents...AKIDA FOR PRESIDENT Tech.

Espacenet – search results

Espacenet: free access to millions of patent documents. Find out if your invention is unique or if other inventors have filed patent applications that are considered to be prior art.

worldwide.espacenet.com

Very exciting and opportunistic times. The times may get better after next quarterly report. But this maybe it for these prices.
December 1 2024 is my, check the position I hold day.

 

[AARONASX]

Good morning,

worth a watch.

watch from the start but mark note of comments made at the 8:50 mark...and if integratable with Akida, Akida could be huge!

 

[supersonic001]

Sign Up | LinkedIn

500 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.

www.linkedin.com

 

[IloveLamp]

MediaTek Edge AI

Discover how MediaTek is leading the Generative AI revolution with high-performance AI processors and data center-grade modules. Explore our powerful AI technologies for diverse applications in homes, education, businesses, mobile, and vehicles.

bit.ly

 

[IloveLamp]

Innoviz to develop new lidar platform for next-gen BMW automated vehicles

Innoviz is developing an enhanced solution including the InnovizTwo lidar, a new InnovizCore compute box, and AI-powered software solutions including an industry-first MRM system to enable Level 3 automated driving capabilities to a broader range of future vehicles.

insideautonomousvehicles.com

Redirecting

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EVgo and General Motors Open 1,000th DC Fast Charging Stall as Part of Metropolitan Charging Collaboration

EVgo Inc. (NASDAQ: EVGO), one of the nation’s largest public fast charging networks for electric vehicles, and General Motors have surpassed 1,000 fast charging stalls as part of their longstanding collaboration to expand fast charging infrastructure. First announced in 2020 and expanded upon in...

news.gm.com

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VW is ready to bring autonomous driving to large-scale production

VW is now the first vehicle manufacturer to develop a Level 4 autonomous driving (AD) service vehicle for large-scale production.

electrek.co

Innoviz Technologies on LinkedIn: VW is ready to bring autonomous driving to large-scale production

Innoviz is thrilled to be the direct #LiDAR supplier for Mobileye in their latest partnership with Volkswagen Group! Mobileye's level 4 autonomous driving…

www.linkedin.com

 

[IloveLamp]

 

[Esq.111]

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[ndefries]

RewardRe

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has he gone to HC

 

[Bravo]

So you've found a couple of pictures of 3-handed cat's cradle on the interweb ...

The inventor of the patent is Joe Guerci (CEO ISL).

The patent involves a "novel system and method are described that allows for implementation of compact and efficient deep learning AI solutions to advanced sensor signal processing functions".

Joe delivered a keynote in 2022 which shows the BrainChip reference board with the description "Neuromorphic chips on the horizon. Highly disruptive!"

And ten months ago he posted confirmation that ISL had successfully implemented complex RF signalling techniques using Akida which he described as "a real game changer".

 

[Diogenese]

The inventor of the patent is Joe Guerci (CEO ISL).

The patent involves a "novel system and method are described that allows for implementation of compact and efficient deep learning AI solutions to advanced sensor signal processing functions".

Joe delivered a keynote in 2022 which shows the BrainChip reference board with the description "Neuromorphic chips on the horizon. Highly disruptive!"

And ten months ago he posted confirmation that ISL had successfully implemented complex RF signalling techniques using Akida which he described as "a real game changer".



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Pressure cooker valve seems to be stuck ...

When it blows, it's going to be big ...
... and ubiquitous.

 

[TheUnfairAdvantage]

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Just checked. He’s gone from LinkedIn. WTF.

 

[Bravo]

Just checked. He’s gone. WTF. He was one reason I tipped up big time. Anyone concerned?

Hi @TheUnfairAdvantage, who did you "check" with?

 

[Gazzafish]

Programme | DATE 2024

date24.date-conference.com

Could this be using Akida??

ON-FPGA SPIKING NEURAL NETWORKS FOR INTEGRATED NEAR-SENSOR ECG ANALYSIS Speaker: Matteo Antonio Scrugli, University of Cagliari, IT Authors: Matteo Antonio Scrugli, Paola Busia, Gianluca Leone and Paolo Meloni, Università degli studi di Cagliari, IT Abstract The identification of cardiac arrhythmias is a significant issue in modern healthcare and a major application for Artificial Intelligence (AI) systems based on artificial neural networks. This research introduces a real-time arrhythmia diagnosis system that uses a Spiking Neural Network (SNN) to classify heartbeats into five types of arrhythmias from a single-lead electrocardiogram (ECG) signal. The system is implemented on a custom SNN processor running on a low-power Lattice iCE40-UltraPlus FPGA. It was tested using the MIT-BIH dataset, and achieved accuracy results that are comparable to the most advanced SNN models, reaching 98.4% accuracy. The proposed modules take advantage of the energy efficiency of SNNs to reduce the average execution time to 4.32 ms and energy consumption to 50.98 uJ per classification.

 

[TheUnfairAdvantage]

Hi @TheUnfairAdvantage, who did you "check" with?

Sorry. In my shock and horror I only checked LinkedIn. Gone from LinkedIn altogether. Edited post. Sorry. Should check with TD.

 

[Mccabe84]

Sorry. In my shock and horror I only checked LinkedIn. Gone from LinkedIn altogether. Edited post. Sorry. Should check with TD.

He's still on Brainchips website page