Science

New research reveals that combining human intuition with artificial intelligence significantly enhances collective problem-solving and accelerates creative discovery.

Researchers are developing methods to teach AI systems to understand the underlying principles of physics by learning directly from the data generated by simulations.

A new assessment of the Atlantic Meridional Overturning Circulation leverages artificial intelligence to tackle critical uncertainties surrounding this key climate regulator.

A new review clarifies the critical difference between perceiving human qualities in robots and intentionally designing them, paving the way for more accountable and effective human-robot interaction.

A new framework automates the complex process of preparing scientific data for use in artificial intelligence, accelerating the pace of discovery.

Researchers have developed a new framework that allows humanoid robots to understand and react to natural language commands in real-time, enabling more intuitive and adaptable interactions.

New research demonstrates a framework for building more natural and emotionally aware humanoid robots capable of seamless, real-time interaction.

A new generative design framework creates adaptable soft robotic grippers capable of reliably grasping fragile organic materials, opening doors for automated coral restoration and beyond.

A new framework uses the power of language models and knowledge graphs to intelligently explore chemical possibilities, accelerating the search for sustainable materials.

Researchers are developing new methods for robots to negotiate and coordinate complex tasks, enabling more effective teamwork in challenging environments.