Science

A new approach uses collaborative artificial intelligence to accelerate research in astrophysics, pushing the boundaries of cosmological understanding.

Researchers have unveiled a new framework, ABot-Claw, designed to empower robots with persistent learning, seamless cooperation, and self-evolving capabilities across diverse hardware platforms.

A new benchmark reveals that while large language models are improving, significant challenges remain in automating complex biological research tasks.

New research reveals how understanding inherent biases in robot design spaces can dramatically improve the efficiency of automated co-design processes.

Artificial intelligence is rapidly evolving from a computational tool to a creative partner in mathematics, reshaping how we explore, prove, and understand fundamental truths.

A new framework is emerging that allows AI systems to refine speech recognition through real-time feedback, moving closer to natural human conversation.

New research reveals a surprising tendency to hold humans accountable for errors made by AI systems in collaborative teams.

Researchers have developed a new method to train robots powered by artificial muscles in simulation and successfully deploy them in the real world, eliminating the need for complex torque sensing.

New research reveals that the collaborative development of open source AI models diverges significantly from traditional open source software practices.

A new simulation model reveals how social norms and individual creativity dynamically shape our collective understanding of the world.