BRN Discussion Ongoing

Tothemoon24

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Is that Pia on stage?
I’m not sure ?
To be honest I didn’t pay much attention to who was on stage I was rather pissed off that I didn’t win it ,

I was ok with it after a few beers & took the judges comments onboard which I’m happy to share

“ your from Melbourne “ ( solid point )

“ you once stated that grade 5 was the best 3 years of your life ( yeah so what )

Always next year
 
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Maybe someone else can look into this more hmmm dell and boeing


Research Vision and Interests​

The main goal of CPHS lab is to develop strategic and trustworthy cyber-physical-human systems which improve safety, reliability, trust and security in human-machine interaction. In this regard, the research team makes scientific and technological advancements in the areas of machine learning, human behavior prediction/modeling, game theory and multi-agent control. The work carried out in this lab is supported by diverse funding agencies such as National Science Foundation, The National Institute for Occupational Safety and Health (CDC-NIOSH) and Boeing.


Facilities​

Cyber-Physical-Human Systems Laboratory (in short, CPHS lab) is directed by Dr. Sid Nadendla and is housed in Room 101 (Total area: 626 sq. ft) in the Computer Science department at Missouri University of Science and Technology (in short, Missouri S&T). The lab has six high-performance Dell-Precision workstations which are equipped with a wide range of hardware and software capabilities, including MATLAB, Python, MATSIM, TensorFlow and PyTorch. One of these workstations also is equipped with Brainchip's Akida ADK1000 neuromorphic chipset. The lab also has 10 Waveshare JetBot AI kits and 10 additional Nvidia’s 2GB Jetson Nano developer kits, which are used to develop f-1/18th vehicles that can mimic both manual and self-driving cars, as well as road side units in our transportation testbed.
 
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Diogenese

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TECH

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Diogenese

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Was flicking around on Lockheed and this LinkedIn popped up in a search.

Was just interesting to see what a Toyota investor arm Exec thought and I noticed Recogni. Part extract below.

Did a TSE search and saw that @goodvibes picked up on them via RT in 2023. Just never know with Rob's likes :LOL:




Tanya Dua
Technology Editor at LinkedIn covering AI | Conference Moderator & Speaker | Columbia Journalism Grad | Ex-Business Insider
1w

🚨A founder and general partner at Toyota’s investor arm, Jim Adler began his career as a Lockheed Martin rocket engineer before eventually becoming an investor. He joins us for VC Wednesdays.🚨

✒️ How does your background as a rocket engineer help as a VC? When you're investing in deep tech, having a technical background is super helpful. Your natural approach is to ask: Does the technology work? What are its potential pitfalls? Does it violate any fundamental laws of the universe, like the second law of thermodynamics or perpetual motion machines? That’s the first qualifier of any of my investments. I'm a big Charlie Munger fan, who said that think about all the things that can go wrong, address them, and you have a much better chance of things going right.

✒️ What’s your investment thesis and biggest focus areas in 2024? You can’t centrally plan innovation. We believe that the dynamism of the startup ecosystem forges the future. Our mission is discovery, in terms of what's next for Toyota and the market. We invest out of two funds: our frontier fund, which focuses on deep tech, autonomous mobility and robotics; and our climate fund, dealing with things like carbon capture and storage, renewable energy. AI is one of our biggest focus areas across both funds, but the next wave will actually be more valuable than the current generative AI wave.

✒️ How so? I’m in the Yann LeCun-Judea Pearl school of thought, in that there are three rungs of AI — seeing, doing and imagining. We're just in the early innings. What's going to power the next rungs? New computing. So, we're looking at neuromorphic computing. There will be next-gen compute and algorithms that'll be able to do much more with much less energy than today. We have a company called Recogni that provides high throughput and low power for edge inference applications. We’re also thinking about how to use AI to discover new materials for direct air capture and drug discovery, for example, through Orbital Materials.
Well, at least MF will be happy about Recogni management, even if they don't know what's a neuromorphic computer anyway:

https://www.recogni.com/

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Diogenese

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Recogni use MACs with a processor design from last millennium, and the data still catches a bus to work:

US12039290B1 Multiply accumulate (MAC) unit with split accumulator 20240109

1721639131380.png


In a multiply accumulate (MAC) unit, an accumulator may be implemented in two or more stages. For example, a first accumulator may accumulate products from the multiplier of the MAC unit, and a second accumulator may periodically accumulate the running total of the first accumulator.

[0136] System 600 includes a bus 602 or other communication mechanism for communicating information, and a processor 604 coupled with the bus 602 for processing information. Computer system 600 also includes a main memory 606 , such as a random access memory (RAM) or other dynamic storage device, coupled to the bus 602 for storing information and instructions to be executed by processor 604 . Main memory 606 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 204 . Computer system 600 further includes a read only memory (ROM) 608 or other static storage device coupled to the bus 602 for storing static information and instructions for processor 604 . A storage device 610 , for example a hard disk, flash memory-based storage medium, or other storage medium from which processor 604 can read, is provided and coupled to bus 602 for storing information and instructions (e.g., operating systems, applications programs and the like)
.
 
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7für7

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Someone should correct this wiki article of brainchip.. or at least update

 
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cosors

👀
Recogni use MACs with a processor design from last millennium, and the data still catches a bus to work:

US12039290B1 Multiply accumulate (MAC) unit with split accumulator 20240109

View attachment 66860

In a multiply accumulate (MAC) unit, an accumulator may be implemented in two or more stages. For example, a first accumulator may accumulate products from the multiplier of the MAC unit, and a second accumulator may periodically accumulate the running total of the first accumulator.

[0136] System 600 includes a bus 602 or other communication mechanism for communicating information, and a processor 604 coupled with the bus 602 for processing information. Computer system 600 also includes a main memory 606 , such as a random access memory (RAM) or other dynamic storage device, coupled to the bus 602 for storing information and instructions to be executed by processor 604 . Main memory 606 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 204 . Computer system 600 further includes a read only memory (ROM) 608 or other static storage device coupled to the bus 602 for storing static information and instructions for processor 604 . A storage device 610 , for example a hard disk, flash memory-based storage medium, or other storage medium from which processor 604 can read, is provided and coupled to bus 602 for storing information and instructions (e.g., operating systems, applications programs and the like)
.

"Recogni's Stereo 3D Detection Pipeline​


Published on
August 2, 2022

Recogni Perception Team

Introduction​

At Recogni, we develop an industry-leading chip for accelerating deep neural network inference for highly automated driving. This chip runs neural network inference extremely efficiently—you may have seen references to 1000 TOPS at 25 Watts in our previous write-ups. That’s not a pipedream—the chip exists and is customer-deployed. Input to the system are pairs of stereo camera images. Cameras see farther and are more cost effective to integrate in production vehicles than other sensor types such as LIDAR or RADAR. That’s why it’s natural to combine them with our cost-efficient inference chip for a high-performance, low-wattage perception solution.

The system would not be complete without a perception stack to actually run on it. This article presents an overview of how we build and deploy our stereo 3D Object Detection (3DOD) model and continue to improve it over time.

We concentrate on 3DOD because even though it is a very difficult real-world problem, it’s one where our great compute capacity and the ability to process high-resolution imagery very efficiently offer huge benefits. Additionally, it imposes challenges beyond the pure neural network execution, such as decoding of network outputs into 3D boxes in space or running Non Maximum Suppression.

We develop perception architectures for 3DOD and other applications both to deploy with customers and to gather knowledge not readily available - especially how to convert models for this new hardware.
...
..."

If you click on their references link you will automatically be taken to your screenshot 😅

"...you may have seen references to 1000 TOPS at 25 Watts in our previous write-ups."
Their reference =>
1721664322847.png
 
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cosors

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Almost there I wonder ……..

IMG_2292.jpeg
 
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wilzy123

Founding Member
How much would brainchip receive from the sale of the box? as it would be a lot less than the selling price, so even if they were to sell 1000 units maximum, I would expect brainchip to receive maybe $100 a unit so $100k.

Any amount of revenue generated from the initial sale of this box is most likely in the realm of "who gives a f**k" from a commercial or shareholder perspective - but that won't stop Con the Fruiterer speaking up at the next AGM.

All we can realistically hope for from the sale of these devices is exposure. Making the tech highly accessible to the average dev/tech head means that there will likely be more conversations about it, which ultimately leads to commercially motivated interest.

I could comment more, but I feel inept and will leave the rest to @Mws.
 
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Any amount of revenue generated from the initial sale of this box is most likely in the realm of "who gives a f**k" from a commercial or shareholder perspective - but that won't stop Con the Fruiterer speaking up at the next AGM.

All we can realistically hope for from the sale of these devices is exposure. Making the tech highly accessible to the average dev/tech head means that their will likely be more conversations about it, which ultimately leads to commercially motivated interest.

I could comment more, but I feel inept and will leave the rest to @Mws.
Con the fruiterer that's abit harsh, the guy did have a few good points at the AGM
 

IloveLamp

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View attachment 66878
dumb-and-dumber-lloyd-christmas.gif


Genuine chance of us having something to do with this, what with our relationship with OnSemi, the talk of range extension through operational control and the prior known work, with Mercedes, on the same things, with their EQXX concept car 😉


Or not? 🤔...
What are we paying you for Diogenese?..

On reading the OnSemi blurb, it sounds more like just the "Silicon Carbide" technology?..
 
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buena suerte :-)

BOB Bank of Brainchip
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Just a reminder. Lorser Industries have been playing with Akida for over 12 Months now.

Latest Company Updates:


June 2023
- BrainChip Holdings Ltd, a renowned name in neuromorphic AI, IP & Lorser Industries Inc, a leader in system level manufacturing & integration have lately unveiled that they will utilize the technology of BrainChip’s Akida to provide neuromorphic computing solutions for the SDR or software defined radio. The joint venture will help in leveraging Lorser’s skill in SDR manufacturing and design and the cutting-edge neuromorphic technology of BrainChip’s for creating innovative, intelligent solutions which augment the reliability, adaptability, and scale of the SDR devices.


Recent Developments


Lorser Industries CEO, Diane Serban stated that they believe neuromorphic computing technology is indeed the future of ML/AI & an SDR with the neuromorphic ML/AI capacity that will provide users significantly more efficiency, flexibility, and functionality. The Akida IP and processor is the ultimate solution for the SDR devices owing to its high performance, low power consumption, and above all its ability of learning on-chip, post deployment in the field.


Lorser and BrainChip share the common interest to create intelligent devices which can manage communication in an array of evolving and different environments. The former with its expertise in the advanced SDR technology indeed is the right partner for them to work with on the breakthrough gadget with the ability of using ML/AI for identifying patterns, detecting anomalies, and also intelligently adapting to various scenarios.


Akida in fact, powers the next-generation AI in various scientific, automotive, home as well as industrial environments. The completely customizable, digital, event-based AI neural processor & IP is perfect for advanced ML/AI like ADAS/autonomous systems, high-end video object detection, medical devices with an extended battery life, and intelligent sensors.

https://www.marketresearchfuture.com/reports/neuromorphic-computing-market/companies

SC
 
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@Frangipani and I have posted about Nimble AI before. I've noticed that their recent content no longer mention Brainchip and the AKIDA 1500. It appears we've been overshadowed by IMEC, a multi-billion-dollar company and research partner on the Nimble project. IMEC is heavily involved in nearly every EU-sponsored neuromorphic project and has been developing their own SNN for several years. What is news is that In Q1 2025, IMEC plans to do a foundry run of their SNN based neuromorphic processor called SENeCA (Scalable Energy-efficient Neuromorphic Computer Architecture).

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Some details on SENeCA are in the below paper (few years old now).


Are they developing the hardware/processor, though the IP may not be in-house? Hard to tell from the info online around SENeCA. Other aspects that make me wonder about the use of Akida as the IP include reference to digital IP, RISC-V based architecture and designed for GF22nm.

I thought this was worth mentioning as IMEC could be a customer or a potential rival. If they're doing a foundry run Q1 2025 and we're involved, would expect some kind of IP license or arrangement prior. Would line up with Seans comments around deals before end of 2024.
 
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TheDrooben

Pretty Pretty Pretty Pretty Good
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IloveLamp

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