As healthcare AI matures in 2026, proof beats promises, trust outperforms technology, and humans reclaim the center of care.

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 ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.

In 2026, the strongest AI strategies won’t be rushed; they’ll be disciplined. Every leader feels the push to launch AI, ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...