Taproot
Regular
This is a very interesting article if you like reading generally about robotics research but there is to my surprise a very interesting nugget of information in a paragraph well in to the article. I don’t want to spoil the surprise so I will leave it to you to find:
Why Rat-Brained Robots Are So Good at Navigating Unfamiliar Terrain
Running algorithms that mimic a rat’s navigation neurons, heavy machines will soon plumb Australia’s underground minesspectrum.ieee.org
My opinion only DYOR
FF
AKIDA BALLISTA
Brainchip Holdings
September Quarter 2018
Update Presentation November 07, 2018
“If you take it up a notch and as Akida starts to generate more and more activity and this will be far in advance of us actually having silicon. We've already got a lot of inbound traffic and we're reaching out to the peripheral or tangential customers that we think really reflect the inbound traffic that we've had. We will probably take these categories to report to you regularly what goes on in the industrial space. When you're selling integrated circuits, industrial space is a great market in that you get the design win and it lasts for five, 10 or 15 years. Once you get into a system, let's say you get into a transducer application in a tractor out of Caterpillar as a good example.
I heard recently that Caterpillar tractors have something over 700 transducers which send data up to the cloud basically an IoT like device. You get designed into a Caterpillar tractor, you're going to have very nice average selling price and you're going to have a very nice long life cycle.”
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December Quarter 2018
Update Presentation February 01, 2019
We can do both inference and autonomous learning in a single low power, low latency and low cost IC. What that allows us to do is bring artificial intelligence from the data centre or the cloud to the edge, the edge being where is the transducer, where's the camera, where's the ultrasound or is it the lidar or radar in automotive application? Where are the smart transducers that are measuring pressure, temperature flow in the industrial environment? You know, a caterpillar tractor or some other device that's in the field but has smart transducers. Bringing intelligence to the edge allows you to make decisions at the edge or at least produce actionable data at the edge rather than taking all the camera data, all the transducer data, sending it back to a data centre or sending it up to the cloud, having to process that data, the latency, the hogging of the bus and the CPU or GPU processing power. We move that to the edge whether it's in a surveillance camera, whether it's in a smart transducer.
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by NNR | Posted on April 14, 2021
By mimicking brain processing, BrainChip has pioneered a processing architecture, called Akida, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than through transmission via the cloud to a data center. Akida is designed to provide a complete ultra-low power and fast AI Edge Network for vision, audio, olfactory and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can reduce the large carbon footprint of data centers.
