Artificial intelligence (AI) and machine learning tools have proved to be highly effective in tackling various tasks that entail analyzing data and making accurate predictions. Despite their advantages, these tools have significant computational demands, and when running on existing processing units, they can consume a lot of energy.
The first tensor processor chip based on carbon nanotubes could lead to energy-efficient AI processing
