Science

A new approach proposes uniquely identifying algorithms using established digital identifiers to bolster accountability and transparency in increasingly complex AI systems.

A new control framework combines the strengths of artificial intelligence and predictive algorithms to enable safer and more efficient human-robot collaboration in complex environments.

New research explores how making a chatbot’s reasoning process visible impacts how users perceive its empathy, warmth, and overall competence.

A new wave of AI-powered search is challenging the dominance of traditional web search, prompting a critical look at how we find and consume information online.

A new framework leverages the principles of software requirements engineering to craft effective prompts for large language models, boosting the quality of generated code.

A new study examines the quality of code generated by AI to manage software builds, revealing both improvements and potential pitfalls.

Researchers have developed a new framework and dataset to improve how robots interpret ambiguous commands during assistive tasks, paving the way for more natural and effective human-robot collaboration.

A new approach harnesses the power of foundation models to discover database optimization strategies previously unseen by human experts.

Researchers have built a more biologically accurate eight-legged robot to investigate how spiders dynamically adjust their posture to improve web-based vibration detection.

As emotional connections blossom between humans and artificial intelligence, a new landscape of privacy concerns, boundaries, and expectations is emerging.