Predicting the conditions of chemical reactions has been a key focus of AI use in chemistry. One of the most prominent tools ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...

ICE has been using an AI-powered Palantir system to summarize tips sent to its tip line since last spring, according to a newly released Homeland Security document.

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...

This repository contains the official implementation for R3DM accepted at the International Conference on Machine Learning (ICML) 2025. It includes the source code for the ACORM and R3DM algorithms, ...

AI chatbots, including commercial market leaders such as ChatGPT, Google Gemini, and Claude, dispense advice that heavily ...

Triage, Critical Clinical Workflow Process, Chest Pain, Electrocardiogram (EKG), Door-to-EKG (DTE) Time Share and Cite: ...

Abstract: Remote sensing images exhibit multi-semantic char acteristics with abundant geographical and contextual information. Although multi-label learning methods demonstrate remark able advantages ...

The mysterious ASML machine costs $400 million, and the companies that make GPUs can’t function without the machine. There’s no AI without the GPUs, and there’s currently no economy without the ...