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

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...

There's an important distinction between AI that just works today, and AI that lasts at scale. Many companies optimize hard ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

The infrastructure moment for AI-driven drug discovery continues to accelerate, with billion-dollar investments flowing into ...

The commercial market initially viewed these untraditional majors with scepticism. But Plaksha’s inaugural graduating batch ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...