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If ARM was an arm, BRN would be its biceps💪!

Getting flexible​

As automotive compute shifts from hardware to software, demand is growing for infotainment and cockpit features. According to Arm, more than 90% of in-vehicle infotainment (IVI) systems use the company’s chip designs. The architectures are also found in various under-the-hood applications, including meter clusters, e-mirrors, and heating, ventilation, and air conditioning (HVAC) control.

Munich-based automotive company Apostera aims to remove this disconnect between the real world and the infotainment system by transforming the windshield of a vehicle into a mixed reality screen.
Munich-based Apostera is using Arm’s designs to transform car windshields into mixed-reality screens.
The shift to the software-defined vehicle has also stimulated another IT feature: updates. Historically, vehicle software was not only rudimentary, but also fairly static. Today, that’s no longer the case.

“There’s an opportunity to continue to add to the functionality of the vehicle over its lifetime,” says Laudick.

An expanding range of features, from sensor algorithms to user interfaces, can now be enhanced over-the-air (OTA). As cars begin to resemble personal devices, consumers can expect a comparable update service. As Simon Humphries, the chief branding officer of Toyota, put it: “People want control over their own experiences.”

Laudick likens modern cars to platforms, upon which software and functionality can evolve.That’s an obvious magnet for Arm, whose products and processes are fundamentally about running software.

Carmakers are also becoming savvier about software. For example, General Motors’ self-driving unit, Cruise, is now developing its own computer chips for autonomous vehicles. The company has previously used Arm designs, but is now exploring an open-source architecture known as RISC-V — which is becoming a popular alternative. The instruction set’s low costs and flexibility have created a threat to Arm’s automotive ambitions.

“One executive I was talking to said: ‘The best negotiating strategy when Arm comes in is to have a RISC-V brochure sitting on my desk’,” Jim Feldhan, the president of semiconductor consultancy Semico Research, said last year. “It’s a threat. Arm is just not going to have its super dominant position in five or 20 years.”






Currently, however, RISC-V could be regarded as riskier than Arm’s established standards. In a further challenge to RISC-V, Arm is gradually becoming more open. The Cortex-M processor series, for instance, now allows clients to add their own instructions, while extra configurability has been added to Arm software and tooling.

“We obviously try to control the products reasonably well, otherwise we just end up with a wild west. But there’s been a move in the company in the last several years to create more flexibility in certain areas,” says Laudick.

Mobileye, the Israeli self-driving unit of chip maker Intel
Mobileye, a self-driving unit of Intel that went public at $16.7 billion last year, is among a growing list of companies applying RISC-V architecture to vehicles. Credit: Mobileye
RISC-V is far from Arm’s only challenger. Established rivals such as Intel and Synopsys are also fighting for a chunk of the expanding market for automotive chips.

Nonetheless, Laudick is bullish about the future. He notes that today’s cars run about 100 million lines of software code, while a Boeing 787 is estimated to have “only” 14 million. By 2030, McKinsey predicts that vehicles will expand to roughly 300 million lines of code.

“I see the vehicle being, without doubt, the most complex software device you will own — if not that will exist,” says Laudick.

I love this part @Tothemoon24!

According to Arm, more than 90% of in-vehicle infotainment (IVI) systems use the company’s chip designs. The architectures are also found in various under-the-hood applications, including meter clusters, e-mirrors, and heating, ventilation, and air conditioning (HVAC) control.

If I was Arm, I would be incorporating AKIDA, into not just in the Cortex M based MCU's but into the A and R based MCU's as well, just to cover all bases.🏏

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https://armkeil.blob.core.windows.n...ide-to-arm-processing-power-in-automotive.pdf
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
I


I like how Sean made a point that we are still working with Mercedes and a telecommunications company.
It almost sounded like Sean was alluding that Mercedes are currently bringing out 3 chips and one or more contain akida.
Three chips. Wait! Let me guess ...

Chip 1 = MB-AKIDA1000
Chip 2 = MB-AKIDA 1500
Chip 3 = MB-AKIDA 2.0

😝🥳❤️🧠🍟
 
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Labsy

Regular
Hi Labsy....very pleased for you being in your 40's and holding Brainchip stock...such a great decision you have made !

Interesting how "Disney" got a mention...they are working with Robotics in the AI space, also video streaming etc...such a
good fit with the release of AKD 2.0....were Sean and Geoff talking about our engagements prior to the Podcast in private,
meaning, Geoff's subconscious mind was coughing up the words Mercedes, Disney and Tesla. :ROFLMAO::ROFLMAO::ROFLMAO: purely speculative of course.

I am truly "hoping" to hear that another 2 companies have signed an IP License by years end...which 2, any 2 !!

Tech ;)
My ears pricked also when I heard "disney" soflty murmured but tried not to think about it too much. The mind does wander though doesn't it? ;)
Ps I was daydreaming of the SP reaction if Tesla came out and announced a collaboration.... ah how nice to dream... but anything is possible really. Science fiction technology.
 
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Speaking of telecoms, well, seems this gentleman is aware of neuromorphic as well.

Not saying working with them but good to see recognition and awareness of the tech.

Just a snippet from his recent blog.


José María Álvarez-Pallete - 17/04/2023

Chairman & CEO Telefónica S.A.


AI: It’s time to stop and think​



When it seemed that Moore’s law was about to reach its physical limit, we discovered neuromorphic networks that emulate the way neurons and synapses work in our brains, and increase the capacity to analyse and process information, all the time that the era of quantum computing is approaching.
 
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buena suerte :-)

BOB Bank of Brainchip
Highlights from the podcast.

I guess to be in the circles with top tech guys in the US, you need to play golf.

The recent trend is vertical all the way to the silicon. I think this can really bring some big names as well if many companies take on Brainchip apart from Mercedes Benz like Amazon, Disney, Facebook etc.

Interesting Sean mentioning the difference between centralization and decentralisation. One of the reasons I followed crypto down the rabbit hole is because of its (mostly) decentralised nature.

The zone model may explain some of the decisions Brainchip management now take. Ecosystem build first and then the de facto standards will be implemented. Long game.

Lastly. Again, to be networking in the ‘Valley’, you must play golf! Surely Sean can have a round of golf with Roger Iger (Disney’s CEO), let him win and flick out an IP contract for him to sign?
As far as I can recall Sean is also a member of 'The Silicon Valley Capital Club'! so pretty sure he will have a very nice high rolling list of mobile numbers and contacts !!
⛳🏌️‍♂️🏌️‍♀️⛳ :cool:
 
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jk6199

Regular
Compared to weeks ago, the volume has really shrunk.

Looks like a lot are holding on to their shares, while the shorters and institutions are buying and seling between themselves, but not hooking the long termers?
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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cosors

👀
Jeff Bier
Jeff Bier• 2.General Chairman, Embedded Vision Summit | Founder, Edge AI and Vision Alliance | President, BDTI
38 Min.
Happy to have BrainChip as a Gold Sponsor of the Embedded Vision Summit. BrainChip's processor enables machines to do more with less by keeping AI/ML local to the chip and independent of the cloud, reducing latency while improving privacy and security. Visit the link in comments to register or learn more. #EVS23 #edgeai #ai
View attachment 35545
Jeff Bier
What a likeable name!
 
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View attachment 35565
Warning!!
Highly speculative!!
Look away!


we all remember Jean Luc Chatelain coming onto the podcast with Sean Heir a few months back.

Jean seemed very interested in what Brainchip was doing and was over all very positive of Brainchips vison and their technology.

Sean and Jean are old pals and said they were going to play golf together in the not to distant future.

We know how many of the podcast guests have proven to materialise into something directly related to brainchip.

I wonder is Sean was able to play a hole in one and score Jean for our new recruitment ??

.... some Gardening leave perhaps......... BOOM !! >>>> Incoming ??
 
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Labsy

Regular
Look at 7mins 45secs guys...mention nuromorphic at the end and Intel, but as you can see we are in the box seat.....kick back and enjoy the next 2 years..

Microsofts New AI Chip 'Athena' SHOCKS The Entire…:
 
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equanimous

Norse clairvoyant shapeshifter goddess
Compared to weeks ago, the volume has really shrunk.

Looks like a lot are holding on to their shares, while the shorters and institutions are buying and seling between themselves, but not hooking the long termers?
LTH shaken but not stirred.

200.gif
 
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Highlights from the podcast.

I guess to be in the circles with top tech guys in the US, you need to play golf.

The recent trend is vertical all the way to the silicon. I think this can really bring some big names as well if many companies take on Brainchip apart from Mercedes Benz like Amazon, Disney, Facebook etc.

Interesting Sean mentioning the difference between centralization and decentralisation. One of the reasons I followed crypto down the rabbit hole is because of its (mostly) decentralised nature.

The zone model may explain some of the decisions Brainchip management now take. Ecosystem build first and then the de facto standards will be implemented. Long game.

Lastly. Again, to be networking in the ‘Valley’, you must play golf! Surely Sean can have a round of golf with Roger Iger (Disney’s CEO), let him win and flick out an IP contract for him to sign?
Or don’t let him win and tell him things are better with BrainChip

Lol 😝
 
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Gearitup

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Unfortunately no. Xperi has a competing NCU chip (Perceive Ergo) that's not exactly truly neuromorphic in architecture (uses MAC functions, at least in the first version, no info on second info to suggest a change). @Diogenese I believe has had a look at Xperi about 2 years ago on that other place where the grass is browner.
 
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cosors

👀
I did not know that there are now also German articles about us. It's already a month old but we here like Akida!

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"These are the top articles of the month on all-electronics​

Which articles on all-electronics.de have the readers been most interested in over the past month? We have put together the top 10 for you.
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The top articles from March 2023​

10th place: Why the EU Machinery Regulation now belongs on the agenda

9th place: How Mathworks intends to systematize development

8th place: ZVEI guest comment: Bidirectional charging – AC or DC?

7th place: Pi-Day: Everything there is to know about the circle number Pi

6th place: Tesla's plans with rare earths and SiC - against the trend

5th place: Highlights and impressions from Embedded World 2023

4th place: "For me, sustainability is THE economic factor of the future"

3rd place: Why the Extremely Large Telescope is also a triumph of automation

2nd place: Fraunhofer technology makes quantum computers suitable for industry




and finally ;)

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1st place: This is achieved by the 2nd generation Akida platform from Brainchip
The manufacturer of digital neuromorphic AI IP announces the second generation of its Akida platform. This should enable efficient and intelligent edge devices for AIoT (Artificial Intelligence of Things). Which technologies ensure this.
This brings the Vision Transformer acceleration to the second Akida generation (Image: Brainchip)"
See the full article below

https://www.all-electronics.de/markt/das-sind-die-top-artikel-des-monats-auf-all-electronics-812.html

________________________
Because it is so beautiful here again:

from German

"AIoT: Vision Transformer and Spatial-Temporal Convolution​

This is what Brainchip's 2nd generation Akida platform does​

The manufacturer of digital neuromorphic AI IP announces the second generation of its Akida platform. This should enable efficient and intelligent edge devices for AIoT (Artificial Intelligence of Things). Which technologies ensure this.
The second generation of Akida now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions for processing time-continuous raw data streams.

The second generation of Akida now includes Temporal Event Based Neural Nets (TENN) Spatial-Temporal Convolutions for processing continuous-time raw data streams. (Image: Brainchip)

The very efficient yet powerful neural processing system developed by Brainchip for embedded edge AI applications now offers 8-bit processing along with features such as time domain convolutionos and vision transformer acceleration. This enables high levels of performance in sub-watt devices, taking them from perception to cognition.
The second generation of Akida now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions (Spatial-Temporal Convolutions) that allow the processing of continuous-time raw data streams such as video analysis, target tracking, audio classification, analysis of MRI and CT scans for prediction of vital signs and time series analysis for forecasting and predictive maintenance. These skills are badly needed in industry, automotive, digital healthcare, smart home and smart city. The TENNs allow for significantly simpler implementations by retrieving the raw data directly from the sensors, drastically reducing the model size and operations performed while maintaining very high accuracy.
The Akida platform at a glance: From the Akida-E for maximum efficiency, through the Akida-S (sensor balanced) to the Akida-P with maximum performance.


The Akida platform at a glance: From the Akida-E for maximum efficiency, through the Akida-S (sensor balanced) to the Akida-P with maximum performance. (Image: Brainchip)


Due to the high demand from the automotive, edge vision and factory automation sectors, Brainchip has started an early access program for the neural SoC Akida.
market Spiking Neural Networks

Neural SoC Akida: Brainchip starts early access program

With the early access program for the neuronal SoC Akida, Brainchip is responding to the high demand for development systems after the announcement of the start of production for autumn 2020. You can find out more about the early access program here.

This brings the Vision Transformer acceleration to the second Akida generation​

Another addition to the second Akida generation is Vision Transformers Acceleration (ViT), a neural network that has proven extremely powerful in various computer vision tasks such as image classification, object recognition, and semantic segmentation. This powerful acceleration, combined with Akida's ability to process multiple layers simultaneously and hardware support for skip connections, allows the execution of complex networks like RESNET-50 to be managed entirely in the neural processor itself without CPU intervention, minimizing system load .
The Vision Transformer technology is particularly powerful for tasks such as image classification and object recognition.


The Vision Transformer technology is particularly powerful for tasks such as image classification and object recognition. (Image: Brainchip)



The Akida IP platform has the ability to learn on the device, enabling continuous improvement and dataless customization that enhances security and privacy. This, combined with the available efficiency and performance, allows for highly differentiated solutions that were previously not possible. This includes secure small form factor devices such as B. Hearing aids and wearable devices that process raw audio data, as well as medical devices that monitor heart and breathing rates and other vital data that consume only 1 µW of power. This scales up to HD resolution imaging solutions delivered via high quality battery powered or fanless devices,

TENNs allow for significantly easier implementation by retrieving raw data directly from the sensors, reducing model size and operations performed.


TENNs allow for significantly easier implementation by retrieving raw data directly from the sensors, reducing model size and operations performed. (Image: Brainchip)



Akida
electronics development Spiking Neural Network will initially be launched as an FPGA solution

SNN Neuromorphic System-on-Chip Akida as of 2019

Brainchip Holdings Ltd. specializes in neuromorphic computers. is the first company to mass market a spiking neural network (SNN) architecture: the Akida neuromorphic system-on-chip (NSoC) device. Read the background to the presentation of the first Akida generation here.

Brainchip CEO Sean Hehir on the second generation Akida​

"Our customers wanted us to enable advanced predictive intelligence, target tracking, object detection, scene segmentation, and advanced image processing capabilities. This new generation of Akida enables designers and developers to do things previously not possible in a low-power edge device "By inferring and learning from raw sensor data without the need for pre-processing of digital signals, we're taking a big step towards a cloudless edge AI experience."

Software and tooling by Akida​

Akida's software and tooling further simplify the development and delivery of solutions and services with these features:
  • An efficient run-time engine that manages model accelerations autonomously and completely transparent to the developer.
  • MetaTF software that developers can use with their preferred framework, like TensorFlow/Keras, or their development platform, like Edge Impulse, to easily build, fine-tune, and deploy AI solutions.
  • Supports all types of Convolutional Neural Networks (CNN), Deep Learning Networks (DNN), Vision Transformer Networks (ViT), as well as Spiking Neural Networks (SNNs), making it future-proof as models become more advanced.
Akida has a model zoo and a growing ecosystem of software, tool and model providers as well as IP, SoC, foundry and system integrator partners. BrainChip works with early adopters on the second generation IP platform. General availability will occur in Q3 2023.

The author: Dr.-Ing. Nicole Ahner​

The author: Dr.  Nicole Ahner

(Image: Hüthig)
Her enthusiasm for physics and material development ensured that she found her true calling during her electrical engineering studies, which she then also placed at the center of her professional work: microelectronics and semiconductor production. After years in semiconductor research, she now researches and writes with deep specialist knowledge about electronic components. Her special interests are in wide-bandgap semiconductors, batteries, the technologies behind electromobility, materials research topics and electronics in space.
More articles from Nicole Ahner"
https://www.all-electronics.de/elektronik-entwicklung/das-leistet-die-akida-plattform-der-2-generation-von-brainchip-526.html
 
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Diogenese

Top 20
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Sirod69

bavarian girl ;-)
I'm also curious about what's going on at our partner Teksun

Teksun Inc
Teksun IncTeksun Inc


Teksun Inc's cognitive services use AI and ML to solve complex problems, improve decision-making, and automate processes.

Our services include natural language processing, computer vision, predictive analytics, and chatbots. With our advanced tools, you can transform your data into insights and drive business growth.

Contact us to power your business with AI-driven insights today!
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