Science

A new approach uses collaborative AI to predict software flaws by accounting for how code changes over time, overcoming limitations of traditional methods.

A new framework leverages specialized AI agents and layered memory systems to understand user context and deliver more relevant search results.

A new analysis of AI-generated code contributions reveals a surprising trend in how these systems tackle performance improvements.

Researchers have developed a reinforcement learning framework that effectively leverages even flawed human interventions to improve robot performance in complex manipulation tasks.

Researchers have demonstrated a new approach to medical diagnosis that combines the power of artificial intelligence with the ability to clearly articulate its reasoning.

Researchers have developed a new AI agent, SenseNova-MARS, that combines visual perception and language understanding to tackle complex tasks requiring both image search and reasoning.

A new framework leverages the power of artificial intelligence to create more responsive and efficient energy management systems in smart homes and buildings.

Researchers are blending traditional path planning with the power of deep reinforcement learning to create more robust and efficient mobile robot navigation systems.

A new framework empowers AI agents to not just use tools, but to autonomously develop and refine the skills needed for genuine scientific exploration.

A new study introduces a benchmark and model designed to help robots understand where people typically store household items, bridging a critical gap in commonsense reasoning.