Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on intelligence and data, not just execution ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

A new development in wireless sensing technology that can reliably screen for five common pulmonary diseases could lead to ...

Real-time curation of media is critical as consumer attention continues to fragment across streaming TV, audio, display, and mobile channels. By fully integrating Cognitiv’s deep learning models, ...

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Dr. Mohana Rao Patibandla’s 51-case series highlights safer, minimally invasive parafascicular techniques for deep brain ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...