Yet most demand forecasting systems today often produce disappointing results and significant forecast errors. The standard models found in these systems cannot easily identify trends in the data.

FRAMINGHAM, Mass.--(BUSINESS WIRE)--International Data Corporation (IDC) has just released an IDC Innovators report recognizing four healthcare IT vendors with revenue under $100 million who have ...

TinyML is the latest from the world of deep learning and artificial intelligence. It brings the capability to run machine learning models in a ubiquitous microcontroller - the smallest electronic chip ...

A century ago, English mathematician Lewis Fry Richardson proposed a startling idea for that time: constructing a systematic process based on math for predicting the weather. In his 1922 book, ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Russ Schumacher receives funding from the National Oceanic and Atmospheric Administration for research on applying machine learning to improve forecasts of high-impact weather. Aaron Hill receives ...