BRN Discussion Ongoing

[SharesForBrekky]

Some very interesting comments made by Musk here:

https://www.thestreet.com/electric-vehicles/elon-musk-has-a-blunt-message-for-nvidia

"Nvidia Won't Have a Monopoly: Musk

Elon Musk, CEO of Tesla (TSLA) - Get Free Report, is not very impressed with this performance. The billionaire, who was one of the first to invest in OpenAI, the startup that developed ChatGPT, believes that Nvidia's current popularity is also due to the fact that the group enjoys a virtual monopoly situation. This will not last, promises Musk, who foresees the arrival of other actors able to produce processors capable of being very efficient in their task of taking data, collecting and classifying them at a very accelerated rate. These processors are called neural network accelerator chips (NN accelerators).

For the billionaire, the competition is coming after Nvidia."

"True. Also, many other NN accelerator chips are also under development," the tech mogul commented. "Nvidia will not have a monopoly on large-scale training & inference forever."

 

[Sirod69]

In case you missed our 6 city in-person tour, EDGE ML SERIES IS GOING ONLINE!

Join Edge Impulse and our sponsors BrainChip ,Texas Instruments, Nordic Semiconductor and Alif Semiconductor on 19th July to hear about the latest in edge machine learning use cases and hardware for your ML journey.

Register here:

About the Event​

The Edge ML Series is heading online July 19th! Mark your calendars and sign up now. This exclusive, one-day event will explore the benefits of edge machine learning, ways to differentiate your products with embedded intelligence, and how to deliver value in less time while lowering operational cost using AI tools like Edge Impulse. Featuring: • Keynotes from industry leaders • Online tutorials • Customer stories • Insights on deploying ML solutions at scale • Networking opportunities with partners

Edge ML Series - Online

The Edge ML Series is heading online July 19th! Mark your calendars and sign up now. This exclusive, one-day event will explore the benefits of edge machine learning, ways to differentiate your products with embedded intelligence, and how to deliver value in less time while lowering...

events.bizzabo.com

 

[MDhere]

The message is nothing new, but I find the site interesting. That's the only reason I'm posting it here.
I like the word "prominent player"



View attachment 37902

BrainChip and Lorser Industries Partner to Develop Neuromorphic Computing Systems for Software-Defined Radio Devices​

MONDAY, JUNE 05, 2023

BrainChip, a prominent player in neuromorphic artificial intelligence (AI) IP, and Lorser Industries Inc., a leading provider of system-level manufacturing and integration, have joined forces to develop neuromorphic computing systems for software-defined radio (SDR) devices. This partnership aims to leverage Lorser's expertise in SDR design and manufacturing alongside BrainChip's state-of-the-art Akida™ technology to create innovative solutions that enhance the adaptability, reliability, and scalability of SDR devices.

SDR devices have diverse applications, including global shortwave and broadcast radio communication, as well as in fields such as astronomy, aerospace, geography, oceanography, navigation, and logistics. Akida's neural network processing capabilities enable SDR devices to perform advanced tasks such as signal detection, classification, modulation/demodulation, encryption/decryption, and AI-powered anomaly detection in signal or acoustic data using machine learning (ML) algorithms.

Diane Serban, CEO of Lorser Industries, expressed confidence in the future of neuromorphic computing for AI/ML and highlighted the advantages of SDR devices equipped with neuromorphic AI/ML capabilities, including increased functionality, flexibility, and efficiency. Serban stated that BrainChip's Akida processor and IP provide an ideal solution for SDR devices due to their low power consumption, high performance, and on-chip learning capabilities, even after deployment.

Rob Telson, Vice President of Ecosystems & Partnerships at BrainChip, emphasized the shared vision of creating intelligent devices capable of adapting to diverse and evolving environments. Telson described Lorser as an ideal partner, given their expertise in advanced SDR technology, to collaborate on a groundbreaking device that utilizes AI/ML for pattern recognition, anomaly detection, and intelligent adaptation to various scenarios.

Akida, developed by BrainChip, powers next-generation edge AI in various industrial, home, automotive, and scientific environments. This fully digital, customizable, event-based AI neural processor and IP is well-suited for applications requiring advanced AI/ML, including intelligent sensors, medical devices with extended battery life, high-end video-object detection, and ADAS/autonomous systems. Akida's neuromorphic architecture enables real-time on-chip learning while consuming minimal energy, making it ideal for low-power, high-efficiency applications. BrainChip is actively building an Essential AI Ecosystem by collaborating with semiconductor, software, and commercialization partners to demonstrate interoperability, functionality, and vertical value.

BrainChip & Lorser Industries | Software-Defined Radio Devices

The collaboration between BrainChip and Lorser Industries to develop advanced neuromorphic computing systems specifically designed for software-defined radio devices.

www.americanhhm.com

Might be nothing new you say but what's interesting is these words as well -

It's coming.

 

[Tothemoon24]

Socionext to Showcase New Automotive Radar Sensor Technology at Sensors Converge 2023, Booth 1549​

Advanced RF CMOS Sensors for In-Cabin Driver and Passenger Monitoring Systems Deliver Ground-breaking Functional and Safety Benefits​

Milpitas, Calif., Jun 8, 2023 --- Socionext, a global leader in high-precision sensor technology, will showcase its cutting-edge millimeter-wave integrated radar solutions for optimizing in-cabin automotive applications at the annual Sensors Converge Conference & Expo 2023 at the Santa Clara (Calif.) Convention Center June 21-22.
At Booth 1549, Socionext will debut its new AEC-Q100 automotive-grade qualified SC1260 Series intelligent, ultra-low-power, ultra-compact, all-in-one CMOS 60GHz radar sensors. The devices are designed to enable easy acquisition of three-dimensional (3D) positions, and feature temperature tolerances ranging from -40°C to 125°C.
One of the members of the new series, the SC1260AR3, has been nominated as a “2023 Best of Sensors Award” finalists. The SC1260AR3 comes with time-division multiplexing (TDM-MIMO) operation and multiple transmitting and receiving Antennas-in-Package (AiP) that can very accurately detect the position and movement of multiple passengers in a vehicle.
The new SC1260 Series offers a broad range of benefits for automotive applications, including:
60GHz radar sensors for high-precision occupant detection and infant wellness monitoring.
The device is explicitly designed for high-precision in-cabin sensing with TDM-MIMO, enabling a single sensor to detect multiple passengers seated in a row. The sensor has the capability to differentiate pets from humans and monitor vital signs such as heartbeat and respiration. Such technology is especially significant when infants and pets are left or forgotten in poorly ventilated or hot cars. Since radar can penetrate through solid non-metallic material, the technology can detect infants wrapped in blankets or hidden from view.
Anti-theft measures and monitoring of abnormal occurrences surrounding the vehicle, including pre- and post-collision video recording.
Radar has the capability to sense suspicious activities in and around the near field of a vehicle, then activate a dashcam to initiate recording. The ultra-low power sensors also can be useful in a vehicle that is parked and may be prone to hit-and-run incidents. While conventional camera systems record an intrusion or a collision only after they take place, new automotive dashcam systems using Socionext’s radar sensor can detect incoming vehicles and record an incident prior to the occurrence. The device is capable of 24/7 uninterrupted operation using a mere ~1mW of power.
Advances in touchless hand gesture control using the latest radar technology.
Socionext’s smart sensor offers 3D hand gesture recognition to operate in-vehicle displays and infotainment systems.
As the demand for high-precision, multi-functional automotive systems continues to grow, radar sensing technology products offered by Socionext provide a broad range of features and benefits for improving vehicle occupant safety and enhancing a car owner’s overall driving experience.
Register to attend the event on https://www.sensorsconverge.com/sensorsconvergecom/register
To learn more about Socionext’s lineup of smart sensors, visit http://socionextus.com/radar
Related Press Releases

• Socionext Introduces Ultra-compact, Ultra-low-power 60GHz Radio-wave Ranging Sensors for Automotive Applications
• Sensors Converge Names Socionext’s SC1260AR3 60GHz RF CMOS Sensors As 2023 ‘Best of Sensors’ Award Finalist

 

[MDhere]

While on first pass it looks like our company, unfortunately a second reading (to me) shows that it's a neurological implant (a la Musk's Neuralink) brain-computer interface.

@Fullmoonfever As for the HiSilicon's KunPeng chip hosting 4 Akida nodes, I would imagine if that were the case, there would have been a price sensitive IP licensing announcement seeing that the chip is slated for sale this year.

Happy to be wrong though.

When the words are typed Brainchip in each occasion, this is our company.
"With BrainChip:
"BrainChip will develop"

Hope your happy now

 

[MDhere]

WIth BrainChip, we propose to capitalise on innovations that have revolutionised the use of smart phones such as in micro-opto-electronics, chip and wireless technologies We will engineer a wireless and fully implantable smart Neuroprobe-on-a-chip, a device that can decode and manipulate neural activity in real time. This disruptive technical advancement will allow a radical increase in a subject’s freedom of movement while preserving state-of-the-art quality of recordings of neural activity. We have an ideal team to achieve this by combining expertise from the Microsystem and Nanotechnology Lab at SINTEF with neuroscientists at UiO (medical faculty). BrainChip will develop and test the Neuroprobe in a translational project of freely moving, focusing on mouse models of dementia and sleep. Our long-term goal is to establish the Neuroprobe-on-a-chip beyond brain research and contribute towards low-cost and high-precision ambulatory instrumentation for early detection, prevention, and ultra-long-term monitoring of brain disorders in patients.

Click on Summary on the below page:

Wireless Neuroprobe-On-A-Chip - Prosjektbanken

Wireless Neuroprobe-On-A-Chip Torkel Hafting Førsteamanuensis

prosjektbanken.forskningsradet.no

Great post!

 

[Dr E Brown]

I don’t know if this has been posted before, but I found this report from March this year. Link to the full report below, but I was interested in the two snippets extracted below. An area I had not considered and reasoning behind the slow take-up of our product in smart home.

BrainChip’s second-gen neuromorphic silicon gunning for the big boys - Rethink

Neuromorphic chip designer BrainChip has unveiled the second generation of its Akida platform. Taking inspiration from the human brain, these chips promise to slash the compute costs burdening enterprises and operators, by moving those workloads into bespoke edgy silicon, and out of expensive...

rethinkresearch.biz

There are no public second generation customers yet, but Renesas and MegaChips have both licensed the first-generation designs. For video capture, production, and initial distribution, there are plenty of applications for this neuromorphic silicon, which should mature in time.

However, “I think the pay TV operators are at the very tail end of the technical spectrum, and I say that in a nice way,” said Nayampally. “They are a very margin-driven business, so they work on chips they can build with – the lowest common denominators. So, they will require a silicon partner to promote these new capabilities, and we are working on it.”

As BrainChip’s targets include many Internet of Things (IoT) applications, it was only a matter of time until the smart home opportunity came up. Asked whether operators were showing interest in the Matter-spurred second wave of smart home, Nayampally said “we’re not seeing it yet, to be brutally honest.”

“It’s mostly because we’re not in the phase where we are pushing a proven solution. Most want a complete reference design for their stack, and as the IP model, in our first-generation designs, we were essentially proving the silicon. With the second, we can start to build these reference designs, and help them scale it.”

 

[IloveLamp]

ルネサスとメガチップスへライセンス、脳型演算IPコアのBrainChip

　オーストラリアBrainChip Holdings（ブレインチップ ホールディングス）CEOのSean Hehir氏が来日した。同氏によれば、同社はニューロモロフィック（脳型）演算を行うIP（Intellectual Property）コアを商用化した唯一の企業である。現在、ルネサス エレクトロニクスとメガチップスの2社が同IPコアのライセンスを取得している。

xtech.nikkei.com

 

[supersonic001]

ルネサスとメガチップスへライセンス、脳型演算IPコアのBrainChip | BrainChip

Licensed to Renesas and MegaChips, BrainChip, a brain-type computing IP core - translated from Japanese https://lnkd.in/gZGyxdD2

www.linkedin.com

 

[supersonic001]

BrainChip on LinkedIn: Edge ML Series - Online

Edge ML Series - Online

www.linkedin.com

 

[keyeat]

He is at it again

 

[IloveLamp]

 

[Straw]

Let's maybe not give TG any more air time.
Motive seems clear.

 

[Sirod69]

Mercedes-Benz now has approval to deploy their Drive Pilot "eyes-off-road" system in California under limited operational conditions (basically as a traffic jam pilot feature along the lines of ALKS). Drivers can play Tetris while the vehicle is moving down the road, but need to be available to intervene when requested by the vehicle.

Assuming they stand behind their technology, this is a significant achievement for Mercedes-Benz. We're not talking janky experimental robotaxis; we're talking series production vehicles in which there actually is a human driver to take over when needed. The question remains: will they unequivocally stand behind their automated driving feature?

The driving safety requirement for a Level 3 feature such as 'DRIVE PILOT' is the same as for a Level 4 robotaxi. The driver should have no responsibility to pay attention to the road while driving. If there is a crash while automated driving is normally engaged, the responsibility should be fully with Mercedes-Benz. The difference from a robotaxi is that the driver does have a responsibility to take over in a reasonable time when (but only when) requested by the vehicle.

Thus far, Mercedes-Benz has dodged requests to go on the record in writing saying they will be responsible for driving safety when the feature is active. Still waiting for them to make a clear and unambiguous statement about this. (They have actively dodged this question with reporters. And no, they did not actually say it in previous articles you might remember; I checked and they have walked backed those previous attributed positions.) Who knows -- maybe this week will be the week they make such a statement.

The situation should be if the driver is engaged in playing Tetris on the dashboard display when there is a crash, that should be on the manufacturer, not the driver. The driver should not be put in the position of having to win a lawsuit after the crash to avoid being used as a moral crumple zone.

MSN

 

[Glen]

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

ARM M4 with a NPU

 

[charles2]

Stocks rise, S&P 500 enters new bull market: Stock market news today

Stocks have now risen more than 20% since their October lows, marking a new bull market for the S&P 500.

finance.yahoo.com

whatever it takes to release us from the doldrums

 

[Bravo]

Sign Up | LinkedIn

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www.linkedin.com

ARM M4 with a NPU

This Linkedin post was "liked" by none other than Evgeni Gousev Senior Director at Qualcomm!

 

[Realinfo]

“Brainchip has ecosystem players who are investing millions to work on Brainchip enabled solutions, and there are OEM’s working on sub-systems using Brainchip technology”

About a month before the AGM, I initiated an email conversation with Antonio Viana, during which he made the above remark. Nothing new you might say, but it was comforting to hear it from the horses mouth.

We canvassed a range of topics, including my pet subjects…remuneration and communication. Contrary to what many of you may think, I believe Antonio and I have a good relationship. We do not agree on everything, but we respect each others views and opinions.

Contrary to what many of you may also think, I have been and remain a true believer of our battler’s prospects. In the past I’ve suggested that it’s only a matter of time before Akida is used everywhere, and that those who don’t will go the way of dinosaurs, and become the new Kodak’s...current high flyers Nvidia included.

Over the stretch, many of your posts have made for very interesting reading, and the catalyst for further research. This has only strengthened my view that whilst progress is slower than I would wish, good stuff is happening.

Roger Dodger and out !!

 

[Boab]

Just got last months sales commission and just couldn't help myself.
Another 15,000 added to the kitty.

 

[Diogenese]

Sign Up | LinkedIn

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ARM M4 with a NPU

ARM have an in-house NPU which uses MAC:

GB2611751A Neural network processing 20211008

In Figure 3, the MAC unit 202 may perform an initial convolution operation and store the results of that operation in the accumulator buffer 205. Then, the result of that accumulation operation may be read 301 by the activation output unit 203 from the accumulator buffer 205 and scaled 304 and stored in a local storage, chaining buffer 206 for the activation output unit 203 for use as input data to a subsequent elementwise operation.

Using MAC is slower and more power intensive than Akida's SNN.

The ARM NPU video cites 20 ms reaction time, which corresponds to 50 fps, so not bad, but Akida is faster.