BRN Discussion Ongoing

MDhere

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I'm going to say yes for this.

Firstly our Scientific Advisor (forget name) worked in the gut - discovering the cause of stomach ulcers, winning the Nobel prize no less!

Secondly the Akida type of NN - spiking NN's are great at clustering all the data. ie. the biotome into different types of microbes. This is the N of K problem that most NN's havbe trouble with. It would also be great at comparing the biotome of patient over time. ie is there a sudden bloom of a particular microbe during attacks that wasn't prevalent before.

Not sure how akida could help with the stem cell part. They seem to be hard to use in a treatment - just ask Mesoblast.
Barry Marshall :)
 
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Learning

Learning to the Top 🕵‍♂️
Once again Socionext is showcasing Akida at CES 2024.
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Learning 🪴
 
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Not sure if this has been posted, came across this on LinkedIn. Haven't had time to catch up with the thread. Very surprised to see our man Sean on this list ! (Right near the bottom )
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IloveLamp

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Diogenese

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Once again Socionext is showcasing Akida at CES 2024.
View attachment 51266
View attachment 51267



Learning 🪴




Hi Learning,

I'm a little confused by the

"Socionext;s partner - Brainchip's Videos" followed by 2 purely Socionext 60GHz radar videos.

On the Socionext automotive page: https://socionextus.com/products/automotive-custom-soc/ ,that heading is followed by links to Brainchip's MetaTF, Youtube and Enablement information.

The Socionext radar videos are further up the page and the block diagram is at https://www.socionext.com/en/products/assp/radar-sensor/SC1260/

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This does not include an NNA.

Advanced AI Solutions for Automotive​

Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip’s Akida® processor IP.
BrainChip’s flexible AI processing fabric IP delivers neuromorphic, event-based computation, enabling ultimate performance while minimizing silicon footprint and power consumption. Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption
.


However, the following does appear nearer the top of the page in relation to the Socionext multi-processor SoC:

Automotive Custom SoC Technologies and Solutions (socionextus.com)


Automotive Custom SoC Technologies and Solutions

Featuring advanced technologies in automotive display, AI, and smart sensing

Socionext’s advanced custom solutions are designed to help OEMs and tier-one automakers achieve complete ownership of key differentiating technologies with an added competitive edge.

These custom SoCs enable a wide range of applications, including ADAS sensors, central computing, networking, in-cabin monitoring, satellite connectivity, and infotainment
.

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Design and Development:

High core count CPU subsystem development

Safety Island, System Management, and Secure Boot

High Performance interconnect (NIC/NOC)

ISP, GPU & NNA acceleration for power/performance optimization


The NNA accelerator is shown top right of the diagram, but this is not the Radar block diagram which does not include the multi-processor SoC.

Given the references to Brainchip on the page, it is possible that the NNA is or will be Akida in the next generation.



EDIT: No - that's wrong:


"Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption."

If they are using Akida in a distributed way (at the sensor), then they will not be using the full scale processor (CPU/GPU/NNS/ISP) SoC at the sensor.

But that does not stop them from using Akida in the full processor at some future date.

This is the Socionext gesture recognition patent

US2021026458A1 GESTURE RECOGNITION METHOD AND GESTURE RECOGNITION DEVICE

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The recognition engine 28 is trained by "machine learning" by training it on various signal patterns generated by different gestures, but it is not described as a neural network. So the recognition engine is performing a task that Akida could do, but we don't know how efficiently it performs.

Given that the patent was filed before they knew about Akida, and they learned about Akida before the ink was dry on their patent application, perhaps they have an updated design in the pipeline. Possibly even one where Akida is incorporated into the radar receiver?
 
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Dallas

Regular
 
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Dallas

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Dallas

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First products ⁉️🙈☝️RENESAS definitely worth seeing
 
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Not sure if this has been posted, came across this on LinkedIn. Haven't had time to catch up with the thread. Very surprised to see our man Sean on this list ! (Right near the bottom ) View attachment 51269
Great spot spooky.

Not too sure if I should be surprised or not. Having a look on this list, there appears to be only 3 tech-like companies (could be wrong though) above Brainchip ie.Kogan, Computershare and Carsales. Sean also lies not far below the CEOs of the big 4 Aussie banks, wow!

Even though no real surprise, but I think it's a pretty good indicator Brainchip are going full throttle here, definitely no holding back.
 
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Gemmax

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TECH

Regular
Good morning back in Australia (y)

Here's a positive quote for the week when your patience is feeling a little stretched.

"Once you're IN you're IN for the life cycle of that product"

How much longer can TATA resist us ! :ROFLMAO:

Tech.
 
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Iseki

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Once again Socionext is showcasing Akida at CES 2024.
View attachment 51266
View attachment 51267



Learning 🪴

Hey there,

Probably not a good look to mark up your own version of a purported link to someone else's website.
For the sake of transparency, can you please delete your post?

Cheers
 
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Bravo

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

Probably not a good look to mark up your own version of a purported link to someone else's website.
For the sake of transparency, can you please delete your post?

Cheers
Confused.gif
 
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miaeffect

Oat latte lover
A good reminder

2024 BrainChip&SiFive


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buena suerte :-)

BOB Bank of Brainchip
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Bravo

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