Once a pioneer that helped the world lay the foundations of machine learning, Japan’s renewed push into artificial ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

A new study in the lab of Jason Stein, Ph.D., modeled brain development in a dish to identify cells and genes that influence ...

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...

Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy ...

Abstract: Artificial neural network (ANN) is a useful technique for active device modeling. However, it shows limitations in the extrapolation region. To address this issue, we propose a novel ...

Over the past decade, the intersection of artificial intelligence and public policy research has been dramatically influenced by the evolution of large ...

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

Researchers in the Department of Theoretical Physics at Tata Institute of Fundamental Research (TIFR), Mumbai, have ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Age checks no longer stop at store counters or ticket booths. They now shape access to social media, online games, streaming ...

Apple’s “App Intents” and Huawei’s “Intelligent Agent Framework” allow the OS to expose app functionalities as discrete actions the AI can invoke. More aggressive implementations use multimodal vision ...