Science

A new framework categorizes how humans and robots can dynamically collaborate on construction projects, paving the way for more flexible and efficient building processes.

Researchers have created an AI system capable of independently discovering the principles governing the design of organic photocatalysts for efficient hydrogen production.

New research shows that artificial intelligence can accurately simulate human behavior in group settings, revealing the subtle influences of identity and context on cooperation.

Researchers have introduced a comprehensive evaluation framework to assess the ability of artificial intelligence to generate accurate and informative scientific imagery.

A new framework, Attention-MoA, boosts collaborative problem-solving in large language models by enabling agents to dynamically focus on each other’s strengths.

A new data system integrates the power of large language models directly into SQL databases to dramatically improve semantic query processing and performance.

A new calibration method streamlines the process of achieving sub-millimeter accuracy in industrial robots by addressing multiple error sources simultaneously.

Researchers have demonstrated an AI-driven approach to creating complete deep learning systems, from user-facing Python code to optimized GPU kernels.

A new reinforcement learning framework enables agricultural robots to autonomously plan energy-efficient paths for comprehensive field coverage.

Researchers have released a comprehensive dataset to rigorously test the reasoning and decision-making capabilities of AI systems designed for self-driving vehicles.