BRN Discussion Ongoing
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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
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Rise from the ashes
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Thumbs up if you got a little bit creeped out by that comment
... and for rainy days and night driving, you could buy a reflective plastic raincoat sleeve for your forearm.
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Mercedes to Develop Autonomous Vehicles
The automaker has teamed with Tencent Cloud Computing to develop self-driving cars
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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
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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
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Why are all of you doing drugs without me
Ours was a woody Morris station wagon with a mechanical flip out arm with orange light - can't remember if it blinked.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
equanimous
Norse clairvoyant shapeshifter goddess
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.
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Not sure if it’s been posted before, but it looks like Tesla are going backwards more than ever this year.
www.cnbc.com
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.
Jefwilto
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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
You are right Andy. The right technology at the right time. BrainChip has the momentum. Can’t but be bullish.
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
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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.
Dang Son
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Cheers Mate thanksYesterday @Diogenese posted an extract, some commentary and the following link:
Espacenet – search results
Espacenet: free access to millions of patent documents. Find out if your invention is unique or if other inventors have filed patent applications that are considered to be prior art.worldwide.espacenet.com
This patent protects AKIDA’s on chip learning.
Neither DYNAP or GrAi Matter have this ability nor do they have ONE SHOT LEARNING.
Neither do they have on chip convolution or SNN2CNN conversion.
Nor do they come in a package as IP allowing you to purchase a tiny bit of Ai or a massive stack of Ai.
On the question of are they competition yes but consider the Smart Light switch. Both you and I are competition to AKIDA because we can tell whether the light needs to be turned on or off.
Considering the above and assuming no price advantage which of the above technologies would you chose for your Smart Light switch if you decide not to compete.
My opinion only DYOR
FF
AKIDA BALLISTA
Some of us are a bit slower than others on the information uptake
but if I was to remove myself from the competitive race to neuromorphic supremacy
I would choose Akida to control my switching requirements.
Aside from tech advancement in vehicles, one problem is electronic fault and damage repair.
My beautiful 2016 3.0TDi Audi A5 Sline sports hatchback (with every current advanced feature such as active lane keeper etc)had to be written off by insurer recently after impacting a large rock to the undercarriage because of an intermittent electronic fault that no repairer was confident to guarantee.
Resulting in an unsustainable waist of a car being devalued to scrap for parts.
Same thing happened to a mate with a new Jaguar.
Same thing happens with white goods and consumer electronics where a faulty circuit means throwing an item away onto a bigger and bigger heap.
I think products need improved error code analysis to detect the exact faulty parts for replacement and maybe Akida is that missing link.
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