The power of machine learning comes at a price. Once you have the skills, the toolkit, the hardware, and the data, there is still the complexity involved in creating and fine-tuning a machine learning ...

After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, two groups of companies emerged. One group has invested hundreds of ...

A new project aims to create a faster framework for real-time processing that can be used to power machine-learning apps with Python RISELab, the successor to the U.C. Berkeley group that created ...