On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what ...

Of the countless AI tools available today, NotebookLM remains virtually one of a kind. As a Google app that uses AI to help you work with your own source material -- and only the stuff you provide it ...

It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

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 ...

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

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 ...

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, ...