Chris Maddison was just an intern when he started working on the Go-playing AI that would eventually become AlphaGo. A decade later, he talks about that match against Lee Sedol and what came next ...

For Android app developers relying on AI to code, picking the right model can be tricky. Not all models are built the same, and many are not specifically trained for Android development workflows. To ...

Every time you send a text, pay for groceries with your phone, or use your health site, you are relying on encryption.

Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...

For the first time in history, language evolution is partly being steered by machines trained on digital data.

As a Navy mathematician in the 1950s and beyond, she played an unheralded but foundational role in making possible the global satellite-based mapping system. Dr. Gladys West spent her career in ...

Meta-Analysis of Bias in Non–Small Cell Lung Cancer External Control Arms That Use Real-World Progression-Free Survival as the End Point We conducted a retrospective study using claims data from three ...

Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to ...

Instagram is experimenting with bringing tools to control your own algorithm to Threads, its X rival. The feature was uncovered while in development by reverse engineer Alessandro Paluzzi, who ...

BEED (Biomedical EEG Epilepsy Detection) Benchmark is a comprehensive, modular implementation for benchmarking machine learning algorithms on EEG-based epileptic seizure detection datasets. This ...