Science

New research reveals that even slight communication delays can erode cooperation between artificial intelligence agents, leading to competitive and ultimately less effective teamwork.

A new benchmark assesses how easily developers can guide multi-agent systems in translating natural language into functional database schemas.

Researchers have developed a novel approach to train robots to perform complex tasks by combining visual perception, language understanding, and action planning.

Researchers are leveraging principles of pedagogy to create more effective training data for smaller language models, dramatically improving their reasoning and instruction-following abilities.

A new approach enables robust, privacy-preserving machine learning across large groups of robots by intelligently sharing knowledge without centralizing data.

Researchers have developed a multitasking neuro-symbolic framework that efficiently discovers shared mathematical structures within partial differential equation families, leading to more accurate and generalizable solutions.

Researchers have developed a new framework that enables humanoid robots to learn and execute complex motions with unprecedented robustness and adaptability.

Researchers are leveraging the power of generative AI to dramatically simplify the optimization of reconfigurable intelligent surfaces in advanced wireless networks.

New research suggests that even the most advanced artificial intelligence, like GPT-4o, struggles with the core cognitive ability to understand the mental states of others.

A new robotic system demonstrates the ability to strategically manipulate objects and pack them into partially filled containers, opening doors for automation in unstructured environments.