The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You ...

MIT study highlights risk of deploying large AI models for climate science — supporting the assertion that, when it comes to AI, bigger isn’t always ...

In recent years, machine learning (ML) has emerged as one of the most significant trends in technology, reshaping industries and redefining how businesses operate. From enhancing user experiences to ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

In July, EPFL, ETH Zurich, and CSCS announced their joint initiative to build a large language model (LLM). Now, this model ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The research team concentrated their machine learning work on alpha conotoxins, a particularly prevalent and deadly conotoxin family.