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Brainchip shares started to spike late last year following the November announcement that it had entered into a licensing agreement with Japanese semiconductor manufacturer MegaChips.

The agreement, which runs for four years, grants MegaChips a non exclusive, worldwide intellectual property licence for use in designing and manufacturing its Akida technology into external customers’ systems.

And a decision by Mercedes to use the BrainChip Akida processor in the EQXX became public a week ago. The stock is up 42 per cent since then. The EQXX concept car claims to be able to travel 1000km on one charge and will use the BrainChip proprietary neural processing hardware and software.


and some talking heads:


The BrainChip processor works on something called a spiking neural network, which only processes events or spikes that indicate useful information. This approach, similar to the way the human brain works, is not efficiently represented in GPUs.

According to van der Made the Intel and IBM test chips, including Loihi, Loihi2 and Truenorth are not comparable to the BrainChip AKD1000 chip.

He says IBMs Truenorth has no onchip learning, is a very large and is not cost effective.

Intels Loihi chip is comparable in chip size to the AKD1000, but is made in a costly 7nm process while the BrainChip AKD1000 is using a 28 nm standard manufacturing technology, according to van der Made.


AKD1000 has on chip convolution and on chip learning and can be simply configured using standard TensorFlow tools, he says.

The AKD1000 is in production and has many application examples for vision, voice recognition, key word recognition and classification of odours and tastes.


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