Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for small molecule pharmaceutical compounds across reversed-phase high perfromance liquid chromatography (HPLC) columns.

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional methods struggle Critical timing insights: Greatest ...

SportsLine's self-learning AI reveals NFL player props and its SGP picks for Patriots vs. Ravens on 'Sunday Night Football'

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based biological aging clock. In validation of the method, predicted ages came within 4.

NFL Week 16 features a full 16-game slate, including a number of key divisional matchups. On in the NFC pits the 7-7 Tampa Bay Buccaneers

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of high-resolution lysimeter data,

Revolutionary Machine Learning Technology Analyzes SKU, Labor, and Location Variables to Transform Last-Mile Delivery Planning for US and Canadian OperationsMontreal, Quebec and Atlanta, Georgia--(Newsfile Corp.