A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

A machine-learning tool can easily spot when chemistry papers are written using the chatbot ChatGPT, according to a study published on 6 November in Cell Reports Physical Science 1. The specialized ...

OpenAI has unveiled “PaperBench,” a benchmark designed to evaluate how effectively AI agents can replicate innovative machine learning research. This initiative is a cornerstone of OpenAI’s broader ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

Keysight Technologies has launched a new Machine Learning Toolkit within its Device Modelling Software Suite, designed to ...