Gene regulatory networks (GRNs) depict the regulatory mechanisms of genes within cellular systems as a network, offering vital insights for understanding cell processes and molecular interactions that ...

Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future ...

Dozens of companies have or are developing IP and chips for Neural Network Inference. Almost every AI company gives TOPS but little other information. What is TOPS? It means Trillions or Tera ...

Artificial intelligence (AI) is a powerful force for innovation, transforming the way we interact with digital information. At the core of this change is AI inference. This is the stage when a trained ...

Processor hardware for machine learning is in their early stages but it already taking different paths. And that mainly has to do with dichotomy between training and inference. Not only do these two ...