Target identification is a critical and challenging step in drug discovery, with only a small fraction of human genes ...

White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...

Health data remains in silos across hospitals, insurers, and geographies, often locked behind incompatible systems ...

Google DeepMind and collaborators have developed Euclidean Fast Attention (EFA), a machine learning method that more efficiently models global atomic interactions in complex chemical systems. This ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

The uncinate fasciculus is a major white matter pathway involved in memory, emotion, and language, but its microscopic ...

Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

An overview of using maximum likelihood methods in reinforcement learning when dealing with continuous reward signals, highlighting how it connects probability modeling with policy optimization. #Mach ...

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival ...

As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...