Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Researchers introduce CASPER, proving AI story tools strip away mystery and rely on overly predictable characters.

For decades, scientists trying to build better catalysts have relied on a single guiding principle: there is one sweet spot, ...

For generations, writing up a summary of a patient exam was a vital step for physicians trying to make an accurate diagnosis.

University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...

SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...

The adoption of deep learning techniques in recent literature is motivated by their superior performance compared to classical machine learning methods. However, ethical and regulatory concerns ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Understanding barriers to the clinical breast exam in Telangana, India: A survey study of participants and non-participants in underserved rural and urban areas. This is an ASCO Meeting Abstract from ...

Former OpenAI executive Mira Murati’s startup, Thinking Machines Lab, has signed a new multibillion-dollar agreement to expand its use of Google Cloud’s AI infrastructure, including systems powered by ...