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

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 ...

An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.

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 ...

Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...

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

We propose TesserAct, the first open-source and generalized 4D World Model for robotics, which takes input images and text instructions to generate RGB, depth, and normal videos, reconstructing a 4D ...