Science

A new AI agent is learning about itself – and the world – by mimicking the self-discovery process of human infants.

Artificial intelligence is no longer simply a tool for scientists, but an increasingly active partner in the research process, demanding a critical re-evaluation of scientific norms.

Researchers have unveiled a new, affordable multi-robot platform to advance studies in autonomous navigation and underwater mapping.

Researchers have developed a new framework that leverages artificial intelligence to automatically generate and evaluate potential biomedical discoveries.

Researchers have developed a new approach to object-goal navigation that empowers AI agents to reason about their surroundings and plan routes using both visual perception and language understanding.

As artificial intelligence increasingly turns its ear to animal communication, a fundamental challenge emerges: can we truly understand another species when our very methods of listening may distort the signal?

Researchers have developed a collaborative framework that prioritizes key visual features for compression, resulting in sharper images at lower bitrates.

New research explores representation learning techniques that move beyond variational autoencoders to reveal underlying data structures and enable more effective scientific discovery.

Researchers have developed a new approach that blends predictive control with reinforcement learning to enable safer, more efficient navigation for teams of robots in challenging environments.

A new analysis reveals the key elements developers emphasize when configuring AI coding agents like Claude Code to achieve desired software development outcomes.