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 ...

Various forms of machine learning techniques are beginning to permeate through the capital markets. From trading and portfolio management platforms, to reconciliations and surveillance systems, ML ...

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, ...

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 ...

Development and Use of Natural Language Processing for Identification of Distant Cancer Recurrence and Sites of Distant Recurrence Using Unstructured Electronic Health Record Data Although immune ...

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 ...