IBM is announcing on Tuesday availability of an open source machine learning compiler, which the company said intelligently optimizes applications, thus meaning shorter development times and ...

A compiler that uses machine learning to identify ways to parallelize code automatically could be a tremendous boon to the software industry as a whole, as chipmakers increasingly turn toward ...

The performance optimization magic comes from applying machine learning to machine learning model optimization and compilation.

When it comes to deploying machine learning (ML) models in the enterprise, optimization and acceleration – that is, deploying better and faster – are the keys to cost and time savings. But ...

At its Next ‘22 event, Google Cloud announced the launch of an open source machine learning compiler ecosystem, OpenXLA. OpenXLA is a community-led and open source ecosystem of ML compiler and ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

SEATTLE, Dec. 4, 2020 — At the Apache TVM and Deep Learning Compilation Conference, OctoML, an MLOps automation company for superior model performance, portability and productivity, announced early ...

In a move intended to make it simpler for organizations of all sizes to generate machine learning algorithms, IBM today announced that its general-purpose machine learning compiler and optimization ...