The Atlanta Fed’s Oct. 17 update revealed consumer spending growth ticking up to 3.3% while private investment jumped to 4.4% ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

The technique can also be used to produce more training data for AI models. Model developers are currently grappling with a ...

Virtual screening methods fall broadly into two categories: ligand- and structure-based. Ligand-based virtual screening doesn’t require a target protein structure, Instead, it leverages known active ...

AI models outperform traditional rule-based systems in identifying high-risk patients by integrating diverse data sources and ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

A fresh analysis of rocks from one of these periods, the Ediacaran (about 630-540 million years ago), aims to solve a long-standing mystery: why is the magnetic record from this time showing wild and ...

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...