Akida spiking neural processor could head to FDSOI : Page 2 of 2

August 02, 2021 // By Peter Clarke

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Startup BrainChip Inc. has a road-map of larger and smaller SoC exemplars of its Akida spiking neural networking processing architecture and could go to fully-depleted silicon on insulator (FDSOI).

The MetaTF software development tools are free and allow users to investigate what Akida can do for their application, how many processing nodes they need. For some customers Akida is prepared to supply boards with the Akida1000 silicon and provide help customizing the network. Others will want to license and optimize their own chip.

One of the application areas of interest is automotive where Artificial Intelligence and Machine Learning (AI/ML) to train an increasing number of sensors, components, image and video processors in each vehicle. Autonomous vehicles and near-autonomous vehicles are predicted to generate between 12 and 15 terabytes of data for every two hours of driving.

Latency, power consumption and privacy are the key reasons not to send this data to the cloud for processing.

One advantage of spiking neural network architectures is the ability to perform

real-time incremental learning, sometimes called one-shot learning, within a fraction of a second. The ability to add voice commands, accept individuals as drivers by facial recognition and to flag events as significant or not in sensors is improved when using Akida, said BrainChip executives. "We are being benchmarked against deep learning accelerators and a GPU vendor and it is coming back favourably to us."

The above article was found by another poster and put up here last year so it is on its face being dated 21 August, 2021 but if you read it in the context of our present state of knowledge regarding Mercedes “Hey Mercedes” and Valeo - Lidar it takes on far greater import. The last paragraph is of particular interest.

My opinion only DYOR
FF

AKIDA BALLISTA

PS: Note that the ‘benchmarking’ must
have been against AKD1000 engineering sample so it seems likely that the announced improvement in performance of the new commercial AKD1000 chip has further improved AKD1000’s lead.