Billions of dollars’ worth of cancer drugs are discarded each year. Manufacturers must refund Medicare for some of this waste ...

Several studies have predicted that not all geomagnetic reversals have been discovered, but it was unknown in which periods they might be hidden. Researchers led by the National Institute of Polar ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

The following is a summary of a story that originally appears on the Trinity College of Arts & Sciences website. As a new assistant professor in Duke’s Department of Statistical Science, Lasse ...

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...

Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...

(Bloomberg/Rachel Metz) — OpenAI is rolling out a new artificial intelligence model designed to make ChatGPT better at coding, science and a wide range of work tasks, weeks after Alphabet Inc.’s ...

Advanced Paste can now perform tasks using local AI models instead of connecting to the cloud. Advanced Paste can now perform tasks using local AI models instead of connecting to the cloud. is a news ...

This repository contains the code for the Statistics and Social Science Extension for the KNIME Analytics Platform. This extension provides nodes for multivariate statistical analysis, time series ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Existing photovoltaic (PV) output simulation methods often rely on artificial neural networks for short-term forecasting, and there has been a struggle to capture long-term patterns and stochastic ...