Science

A new perspective frames artificial intelligence not as a replacement for human expertise, but as a collaborative partner enhancing shared understanding in complex care scenarios.

A new framework combines the strengths of deep reinforcement learning and Bayesian inference to help robots navigate and locate objects more reliably in complex indoor spaces.

New research integrates thermal vision with advanced AI, enabling robots to perceive and interact with the world in a more nuanced and safe manner.

Researchers have created a challenging benchmark to test if artificial intelligence can deduce molecular structures from experimental data, mimicking the problem-solving process of a chemist.

Researchers have developed a novel framework that generates compelling human-object interaction animations without relying on traditional classifiers or complex kinematic constraints.

Researchers are developing a rigorous, category-theoretic approach to assess the structural reasoning abilities of autonomous AI systems.

Researchers have developed a novel framework for accurately perceiving and reconstructing articulated object movements from everyday videos captured by wearable cameras.

The rise of artificial intelligence is poised to fundamentally change how mathematical knowledge is created, verified, and applied.

This review explores the cutting-edge advancements in wireless bioelectronics that are enabling untethered control of biohybrid robots and paving the way for truly autonomous systems.

New research argues that data science workflows should prioritize human reasoning and knowledge contribution, not just automated results.