This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

E-commerce teams are judged by direct business metrics (revenue, conversion, retention), operational reliability (checkout ...

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

Ai2 unveiled Molmo 2, a new open-source AI model that can analyze video with precision — tracking objects, counting events, and pinpointing exactly where and when things happen in a clip. The advanced ...

Oracle founder Larry Ellison distinguished between two AI model types: those requiring real-time, low-latency decisions for applications like self-driving cars and robotics, and those where delays are ...

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement ...