Science

Researchers have developed a reinforcement learning system that allows two quadruped robots to collaboratively perform complex jumping maneuvers, pushing the limits of robotic teamwork.

Successfully integrating intelligent agents into the workplace demands a strategic shift towards workflow design and human oversight, rather than simply deploying the latest AI technology.

New research explores how deep learning can equip social robots with the ability to predict and respond to human gaze, fostering more natural and effective interactions.

A new review assesses the current limitations of AI-powered drug discovery systems and charts a path toward more effective, agentic frameworks.

As artificial intelligence tools become increasingly prevalent in research, a critical examination of their impact on core scientific principles is urgently needed.

Researchers have developed an underwater robot that mimics the graceful movements of a manta ray, offering a new approach to efficient and stable autonomous exploration.

A new framework breaks down human demonstrations into manageable steps, paving the way for more intuitive robot collaboration.

Researchers have developed a multi-agent system that dramatically improves the ability to extract insights from complex scientific data presented in tables and figures.

Researchers have developed a new graphical interface that leverages artificial intelligence to simplify the creation of complex robot behaviors.

As artificial intelligence tools become increasingly capable of solving mathematical problems, educators must rethink how they foster genuine understanding and skill development.