The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

This study presents a valuable finding on how the locus coeruleus modulates the involvement of medial prefrontal cortex in set shifting using calcium imaging. The evidence supporting the claims was ...

Ten Cambridge scientists have been elected as fellows of the Royal Society. They join the ranks of Stephen Hawking, Isaac ...

OpenAI, the maker of ChatGPT, released an open-source benchmark designed to measure the performance and safety of large language models in healthcare ... build and deploy algorithms for use ...

In the wake of growing climate challenges, geopolitical instability, and the global push toward sustainable developmen ...

A recently developed methodology in this field is small-variance asymptotic analysis, a mathematical technique for deriving learning algorithms that capture ... for a temporally varying mixture model ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...