Science

New research demonstrates how reinforcement learning, guided by human grasping patterns, enables robots to perform complex object manipulation tasks with greater dexterity and intention.

A new benchmark dataset assesses how well artificial intelligence can forecast key aspects of the scientific process, from collaboration to impact.

Researchers are developing new ways to combine visual and auditory information with advanced artificial intelligence, enabling robots to better understand and respond to human commands.

A new framework allows teams of robots to dynamically adjust their plans based on natural language instructions, enhancing collaboration and safety.

Researchers have developed an AI framework capable of independently designing and executing experiments using scanning probe microscopy, paving the way for faster scientific discovery.

A new framework empowers robots to anticipate human errors during teamwork and proactively adjust, leading to more seamless and effective collaboration.

A new framework proposes leveraging artificial intelligence to automate administrative tasks, potentially freeing up educators to focus on teaching and research.

A new analysis reveals that inflated expectations and inconsistent definitions are hindering the responsible development and deployment of AI systems in healthcare.

A new review argues that the brain’s modular design holds the key to creating more flexible and powerful artificial intelligence systems.

Researchers are leveraging neural networks to achieve precise, closed-loop control of soft robots, unlocking new possibilities for complex manipulation and locomotion.