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 ...
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
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 ...
Google won’t rank what it can’t confidently identify. See how business names and primary categories determine local search eligibility.
Triage, Critical Clinical Workflow Process, Chest Pain, Electrocardiogram (EKG), Door-to-EKG (DTE) Time Share and Cite: ...
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