BRN Discussion Ongoing

Smoothsailing said:

Chatgpt. question


Companies Using Renesas with Brainchip Inside

Renesas Electronics Corporation has partnered with BrainChip to integrate their Akida neuromorphic processor technology into various applications, particularly in the automotive and IoT sectors. One notable company that utilizes Renesas’ technology alongside BrainChip’s Akida is Nissan Motor Co., Ltd. Nissan has adopted Renesas’ innovative automotive technology for its ProPILOT 2.0 system, which features advanced driver assistance capabilities. This system relies on Renesas’ R-Car automotive system-on-chip (SoC) and RH850 automotive control microcontroller (MCU), which can potentially incorporate BrainChip’s Akida IP for enhanced AI processing.

Additionally, other companies in the industrial and consumer IoT sectors are likely to leverage the combination of Renesas’ SoCs and BrainChip’s Akida technology due to its low power consumption and high performance for edge AI applications. However, specific names of these companies may not be explicitly mentioned in the available information.

In summary, Nissan Motor Co., Ltd. is a prominent example of a company using Renesas technology that could integrate BrainChip’s solutions within its systems.

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Food4 thought said:

Hello everyone

So apparently the only way the new technology is going to have a good uptake and do well is if the echo system works together and is excepted by all and is adopted by everyone in the echo system.
Now I I would think that Sean hair has a great lot of people he can count on work with and knows through his time at all the different places he’s worked at. He’s been very successful in every other job. I’m sure that he is not only doing his upmost but pushing harder and powering through this first phase of the initial start up. I think we’re close and hopefully by the end of this year we will not only have started our role but will have actually increased our potential and the journey will be nothing but exciting so hang in there chippers because the bus the train the rocket are about to take off

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Food4 thought said:

Hello everyone

So apparently the only way the new technology is going to have a good uptake and do well is if the echo system works together and is excepted by all and is adopted by everyone in the echo system.
Now I I would think that Sean hair has a great lot of people he can count on work with and knows through his time at all the different places he’s worked at. He’s been very successful in every other job. I’m sure that he is not only doing his upmost but pushing harder and powering through this first phase of the initial start up. I think we’re close and hopefully by the end of this year we will not only have started our role but will have actually increased our potential and the journey will be nothing but exciting so hang in there chippers because the bus the train the rocket are about to take off

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Tezza said:

Very few people if any, are successful at everything they do. We ALL fail at times. I am hoping this is not Sean's time.

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Sabrina Eickelkamp (Mercedes-Benz): 'AI is driving change across the entire industry'​

What’s Mercedes-Benz vision on the road to sustainability ? Is it all BEV or with other drivelines as well?​

Artificial Intellegence is entering the fleet market. How do you think AI will change cars – and mobility as a whole?​

It offers intuitive voice control, allowing drivers to manage navigation, entertainment, and vehicle settings effortlessly. With its ability to understand natural language and learn from user preferences, the MBUX Virtual Assistant provides a personalized and seamless driving experience, making every journey more enjoyable and efficient.

You’re on the jury for this year’s Fleet Europe Awards. What are you looking for in the candidates?​

The Fleet Europe Awards are part of the Fleet Europe Days (24 October) in Milan Italy.

Sabrina Eickelkamp (Mercedes-Benz): 'AI is driving change across the entire industry'

Mercedes-Benz sponsors the Global Fleet Manager Award at this year’s Fleet Europe Awards (24 October, Milan). A great opportunity to have a quick Q&A with Sabrina Eickelkamp, Head of International Corporate and Direct and Guard Sales at Mercedes-Benz, on the company’s outlook on where global...

www.fleeteurope.com

BrainShit said:

While ChatGPT often provides truthful information to users, it does have the ability to "lie." Of course, ChatGPT doesn't decide to maliciously lie to users, as it simply can't do so. After all, ChatGPT is a language-processing tool, not an imitation of a real, sentient person.

However, ChatGPT can technically still lie through a phenomenon known as AI hallucination.

AI hallucination involves an AI system providing information that seems reasonable or plausible but, in reality, is not true at all. In fact, AI hallucination can provide information that it was never fed during its training period. Alternatively, it can occur when an AI system provides information unrelated to the prompt or request. An AI system may even claim to be human in a hallucination event.

AI systems, such as chatbots, fall into the hallucination trap for several reasons: their lack of real-world understanding, software bugs, and limitations on the data provided.

As previously stated, ChatGPT can only provide information using data published up to 2021, which certainly limits what kinds of prompts it can fulfill.

One of ChatGPT's big problems is that it can also fall victim to bias when giving users information. Even ChatGPT's creators have stated that the AI system has been "politically biased, offensive," and "otherwise objectionable" in the past. As reported by The Independent, ChatGPT's developers are committed to tackling this issue, but that doesn't mean it no longer poses a risk.

Source: https://www.makeuseof.com/does-chatgpt-lie/



The RH850 microcontroller (MCU) from Renesas does not include neuromorphic architecture. The architecture supports various control functions but does not integrate neuromorphic computing features, which are typically associated with AI and machine learning tasks.

Source: https://www.renesas.com/en/about/pr...ps-adopted-nissan-its-new-skyline-propilot-20

Source: https://www.renesas.com/en/about/pr...tion-worlds-first-28nm-cross-domain-flash-mcu

Source: https://www.renesas.com/en/about/pr...tion-worlds-first-28nm-cross-domain-flash-mcu

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1. Modularity and Flexibility: The nature of chiplets allows for modular design, which aligns well with BrainChip’s technology that can be integrated into various applications such as AIoT (Artificial Intelligence of Things), industrial automation, and consumer electronics.
2. Low Power Consumption: One of the critical advantages of BrainChip’s Akida processors is their ultra-low power requirements. In an era where energy efficiency is paramount, especially in edge computing scenarios, this characteristic makes them attractive candidates for inclusion in chiplet designs.
3. Enhanced Performance at the Edge: As industries increasingly demand real-time processing capabilities at the edge, integrating BrainChip’s technology into chiplets could enhance overall system performance by providing efficient local processing capabilities.
4. Compatibility with Advanced Packaging Technologies: The integration of BrainChip’s processors into chiplet architectures would benefit from advanced packaging technologies that facilitate communication between multiple chiplets while managing thermal issues effectively.
5. Market Demand for AI Solutions: With the growing demand for AI-driven solutions across various sectors, incorporating BrainChip’s neuromorphic technology into chiplets could provide competitive advantages by enabling faster and more efficient processing capabilities tailored to specific applications.

Hoohoo said:

Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models

BrainChip’s Akida Pico neural processing unit, which leverages spiking neural networks, targets low-power IoT and edge-computing devices.

www.electronicdesign.com

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Diogenese said:

A lot to think about McH,

Note to self:
A. models
B. Mercedes NAOMI4
C. s/w

A. Models are what the NN has to search through.

I'll confine my thoughts to images and speech, but other sensor inputs are treated on the same principles.

Images: Static (photos, drawings); Moving (Video)


Sound: Key word spotting, NLP; other sounds.

Each of these can be divided into several layers of sub-categories with increasing specificity. In a NN, the larger the model, the more power is consumed in making an inference/classification, because the processor needs to examine each example in th model to see which the sensor input most nearly resembles.

Thus it make sense to have specific models foe spcific tasks. The narrower the task, the smaller the model can be.

For example, with image classification in an ADAS/AV, images of astronomy of scuba diving are irrelevant. So ADAS models are compiled from millions of images captured from vehicle-mounted cameras/videos.

Akida excels at classifing static images, and can do this at many frames per second. However, Akida 1 then relied on the associated CPU running software to process the classified images to determine an object's speed and direction. That's the genius of TENNS - it is capable of performing the speed analysis in silicon or in software far more efficiently than conventional software.

I prefer to talk about images/video because Natural Language processing is something I struggle to comprehend, but apparently TENNS makes this a cakewalk too.

Open AI tries to have everything in its model, but that burns a massive amount of energy for a single inquiry - a bit like biting off more than it can chew.

So now we have RAG, where subject-specific models can be downloaded depending on what the NN procesor is intended to do.

B. NAOMI4 - Yes This is a German government funded research project and will not produce a commercial outcome any time soon.

C. H/W v S/W

Valeo does not have an Akida silicon in its SCALA 3. It uses software to process the lidar sensor signals. Because we've been working with them for several years in a JD, I'm hopeful that the software will iclude Akida 2/TENNS simulation software. Sean did mention that we now have an algorithm product line.

The rationale for this was explained in the Derek de Bono/Valeo podcast posted yesterday that software allows for continual upgrading. He also mentioned that provision for some H/W upgrades could also be accommodated. Given TENNS young age, it will have developed significantly in the last couple of years, so it could not be set in silicon at this early stage, although Anil did announce some now deferred preparations for taping out some months ago.

Again, I am hopeful that Akida2/TENNS will be included in the software of both Valeo and Mercedes SDVs (and in other EAP participants' products) because it produces real-time results at a much lower power consumption.

Then there's PICO ... the dormant watchdog ...

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McHale said:

Hi Dio thanks for your response to my post from last Thursday, but I must admit to not having really put what I was trying to say in
a clear or properly worded fashion.

When I was talking about models I was really meaning to speak to the different programming/coding languages that can be (need to be) used to interface with the various versions/iterations of Akida, for instance Python, PyTorch, Keras and a number of others I have seen. mentioned.

So in my post, I said models in an incorrect context, because although I do not understand a good deal of the pertinent technical niceties, I do, I believe, know that a model is like a library that can be used for certain applications/uses of Akida, which you also described.

Going back to the coding languages, why do the various iterations of Akida require the use of different coding languages, if that statement is in fact correct. Regardless however, why are there different coding languages required, because I do know that several different languages are used. ?

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