Science

Researchers have developed a novel deep learning model that accurately predicts DNA methylation and provides insights into how DNA sequence and structure work together to control gene expression.

Researchers have developed a new system that uses artificial intelligence to automatically enhance photos, moving beyond simple filters to understand and improve visual aesthetics.

A new framework uses artificial intelligence to optimize cell-free Open RAN systems, paving the way for more efficient and adaptable wireless infrastructure.

Researchers have developed a hierarchical planning framework that allows complex, floating-base robots to navigate challenging, confined environments with greater efficiency and reliability.

Researchers have developed a machine learning framework that dramatically accelerates the discovery of novel single-molecule magnets with tailored magnetic properties.

A new framework empowers AI agents to seek guidance from humans, overcoming knowledge gaps and achieving improved performance in complex tasks.

New research reveals that artificial intelligence is making complex biological tasks accessible to a wider range of actors, raising concerns about the potential for misuse.

A new approach to large language model inference dynamically selects model size based on query complexity, offering significant energy savings without sacrificing performance.

A new generative AI system is moving beyond simply predicting purchases to actively interpreting user intent and tailoring recommendations accordingly.

A new technique combines the outputs of AI-based wireless detectors to significantly improve accuracy and reduce prediction uncertainty.