Science

Researchers have developed a new method to create realistic robotic manipulation videos directly from trajectory data, enhancing both visual fidelity and task learning.

New research argues that outputs from generative artificial intelligence lack the human authorship required for copyright protection, effectively placing them in the public domain.

New research leverages transformer networks to build a belief model that enables robots to quickly learn and generalize new manipulation tasks without requiring explicit action sequences.

A new benchmark assesses the ability of cutting-edge artificial intelligence models to tackle complex mathematical reasoning problems found in a theoretical computer science textbook.

A new approach to motion planning prioritizes human ergonomics, leading to more comfortable and efficient collaboration with robots.

A new framework reveals that the ability to excel at mathematical reasoning and coding tasks defines the core competence of any truly intelligent system.

This review explores how multiple mobile robots can work together to manipulate objects in tight spaces while adhering to precise movement plans.

A growing body of research suggests that focusing on audio-based deep learning models offers a more complete picture of human language processing than current text-based approaches.

New research reveals that human writing isn’t simply being replaced by artificial intelligence, but evolving alongside it in surprising ways.

A new framework translates the complex obligations of the EU AI Act into practical, testable components for developers and organizations deploying high-risk artificial intelligence.