Science

Researchers have developed a novel neural network architecture that intelligently combines body and hand skeleton data to achieve more accurate recognition of complex human actions.

Researchers have developed a novel neuro-symbolic architecture that aims to replicate human-like mathematical reasoning, moving beyond simple pattern recognition to true conceptual understanding.

New research shows that early analysis of code changes created by AI agents can accurately forecast the effort required for effective human review.

A new study reveals that while university students are experimenting with generative AI, traditional search engines remain the preferred resource for research and information gathering.

New research reveals how children uniquely respond to repeated robot failures, adapting and seeking help in ways that differ from adults.

A new approach leverages academic concepts to refine search queries and better understand document context, leading to more relevant results.

A new approach to inventory management combines the reasoning power of large language models with the precision of operations research to dramatically improve efficiency.

A new study reveals a surprising disconnect between the growing presence of artificial intelligence in everyday mobile apps and user awareness of its influence.

A new agentic AI framework moves past simple idea generation, fostering a collaborative process that unlocks demonstrably more novel and diverse concepts.

A new framework streamlines the creation of neuro-symbolic programs by translating natural language into executable code.