A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.

A new machine-learning system helps robots understand and perform certain social interactions.

Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.

A human-aware motion planning algorithm addresses the safety gap in collaboration between robots and humans.

The potential applications of AI, spanning civilian and military uses, are diverse, and include advances in areas like restorative and regenerative medical care, cyber resiliency, natural language processing, computer vision, and autonomous robotics.

Professor Daniel Wolpert of Columbia University discusses the connection between motor memory and embodied intelligence. If motor learning is controlled by contextual inference, he posits and confirms experimentally, then contextual inference may be the key principle underlying how a diverse set of experiences is reflected in motor behavior.

The rise of big data has led to an explosion in visualizations used in news articles and scientific papers. In particular, there’s been growing interest in interactive visualizations that allow readers to dig into the data themselves.