BRN Discussion Ongoing

[Bravo]

Yesterday I thought we might have something to do with SiFive's new X280-A but now I'm wondering if I jumped the gun because it says here that
SiFive will be adding an even higher perfomance, "best in class" CPU to their portfolio next year!!!!

Hmmm...

The other thing I wanted to point out refers to the previous discussion around how BrainChip manages to meet the ISO26262 standards. I imagine that they could leverage their partnership with SiFive to achieve ISO compliance.

SiFive unveils Automotive E6-A, X280-A, and S7-A RISC-V processors - CNX Software

RISC-V is coming to your car too, with the introduction of SiFive Automotive E6-A, X280-A, and S7-A RISC-V processors designed for automotive applications

www.cnx-software.com

 

[Deleted member 118]

https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets/documents/messaging_presentation-_the_essential_role_of_ai_in_the_5g_future_web.pdf

 

[Deleted member 118]

Arm, Intel, and Nvidia whitepaper on FP8

Arm, Intel and NVIDIA have jointly published a whitepaper on a new 8-bit floating point specification, ‘FP8’ which will provide a common interchange format that works for both artificial intelligence training and inference.

community.arm.com

 

[Deleted member 118]

https://www.nxp.com/docs/en/white-paper/NXPAIWP.pdf

 

[Rise from the ashes]

Someone’s always watching

Thumbs up if you got a little bit creeped out by that comment

 

[Deleted member 118]

https://www.prophesee.ai/wp-content/uploads/2022/05/PROPHESEE-White_Paper_Event_Based_Vision_EN_05_09_2022.pdf

 

[Diogenese]

Everything old is new again:

View attachment 16769

... and for rainy days and night driving, you could buy a reflective plastic raincoat sleeve for your forearm.

 

[Deleted member 118]

Mercedes to Develop Autonomous Vehicles

The automaker has teamed with Tencent Cloud Computing to develop self-driving cars

www.iotworldtoday.com

 

[Deleted member 118]

IDEMIA pioneers mass-scale connectivity fleet swap with Mercedes-Benz | Frontier Enterprise

IDEMIA, the France-based identity technologies firm, has completed the first-of-its-kind mass-scale remote SIM provisioning campaign in the automotive industry with its Automotive Connectivity Manager platform. The group worked with Mercedes-Benz to transfer over 700,000 vehicles from one...

www.frontier-enterprise.com

 

[Deleted member 118]

https://aibusiness.com/document.asp?doc_id=779890

 

[Diogenese]

This is an area which does need standardization - or else the vehicle will need a library of different sets of hand signals from which the driver can choose the one with which they are familiar.

 

[Izzzzzzzzzzy]

Shrooms

Why are all of you doing drugs without me

 

[Diogenese]

In answer to his question it was the early 1960’s as I remember helping my father instal blinker lights to our Morris Minor so he could get through registration. Cannot imagine what modifications you could make to a new Tesla at home with an electric drill and a set of spanners.

FF

AKIDA BALLISTA

Ours was a woody Morris station wagon with a mechanical flip out arm with orange light - can't remember if it blinked.

 

[equanimous]

This is an area which does need standardization - or else the vehicle will need a library of different sets of hand signals from which the driver can choose the one with which they are familiar.

Yes and for the first time drivers that pick their nose while driving will be told off from the vehicle to put their hand back on the steering wheel.

 

[Deleted member 118]

Not sure if it’s been posted before, but it looks like Tesla are going backwards more than ever this year.

Tesla AI leader Andrej Karpathy announces he's leaving the company

Big changes are afoot within Tesla's Autopilot unit as AI leader Andrej Karpathy announces he's no longer working for the company.

www.cnbc.com

 

[Jefwilto]

Ours was a woody Morris station wagon with a mechanical flip out arm with orange light - can't remember if it blinked.

I remember them Dio,i had a 1956 VW Beetle (oval window) in the early 80,s,that had them,they were called “Trafficators“or some referred to them as Semaphores,mine didnt blink,just flipped out and the light would come on

 

[Deleted member 118]

https://www.imec-int.com/drupal/sites/default/files/inline-files/Whitepaper_Automotive_PART1_FINAL.pdf?utm_campaign=Imec%20-%20Whitepaper%20Automotive%20ADAS%202020%20Confirmaton%20mail%20-2020&utm_medium=email&utm_source=eloqua

 

[Slade]

Great exposure on Stake! Things are heating up people!

You are right Andy. The right technology at the right time. BrainChip has the momentum. Can’t but be bullish.

 

[Diogenese]

Great find. Pages 22 to 31 are directly relevant and worth reading.

My opinion only DYOR
FF

AKIDA BALLISTA

The discussion about neuromorphic computing being the province of analog and lumping Akida into analog is a bit unfortunate, and probably derives with the pre-Akida obsession with analog SNNs

Page 27:

Page 28:
Analog hardware: The biggest time and energy costs in most computers occur when lots of data has to move between external memory and computational resources such as CPUs, GPUs, or NPUs. This is the "von Neumann bottleneck," named after the classic computer architecture that separates memory and logic. One way to greatly reduce the power needed for machine learning is to avoid moving the data — to do the computation where the data is located. Because there is no movement of data, tasks can be performed in a fraction of the time and require much less energy. In-memory and neuromorphic analog computing are such approaches that take this approach. In-memory computing is the design of memories next to or within the processing elements of hardware such that bitwise operations and arithmetic operations can occur in memory. Neuromorphic analog computing allows in-place compute but also mimics the brain’s function and efficiency by building artificial neural systems that implement «neurons» and «synapses» to transfer electrical signals via an analog circuit design. This circuit is the breakthrough technology solution to the VonNeumann bottleneck problem. Analog neuromorphic ICs are intrinsically parallel, and better adapted for neural network operations than current digital hardware solutions offering orders of magnitude improvements for edge applications. Market-ready, end-user programmable chips are an essential need for neuromorphic computing to expand its visibility and to achieve a variety of “real-world applications” with an increasing number of users. As large technology companies are waiting for the technology to become more mature, some start-ups have released their chips to fill the gap and to have a competitive advantage against those tech-giants. Examples include BrainChip AKIDA, GrAI Matter LabsVIP, and SynSense DYNAP processors.

Neuromorphic digital SNN computing also enables the blending of memory and compute, obviating the von Neumann bottleneck.

 

[Deleted member 118]

https://www.tcs.com/content/dam/tcs/pdf/discover-tcs/Research-and-Innovation/Neuromorphic-edge-computing-embedded-intelligence.pdf