Blumind utilizes analog semiconductor architecture to facilitate AI inferencing

Artificial intelligence development and adoption have encountered serious energy efficiency hurdles with current computer architectures. To solve this challenge, Canadian startup Blumind has invented an analog architecture for semiconductors that will process neural networks efficiently with extremely low power consumption.

Niraj Mathur, co-founder and chief operating officer of Blumind, said the company taped out its first chip last year and has received great results. It is building more test chips, gearing up for the production that aims to start in 2024.