AI "model collapse," where LLMs over time train on more and more AI-generated data and become degraded, can introduce a host ...

A year ago, skeptics questioned whether AI could reliably review documents. Today, those skeptics are watching others finish reviews in weeks ...

The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

Rebecca Qian is the Co-Founder and CTO of Patronus AI, with nearly a decade of experience building production machine ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Econet Wireless Zimbabwe placed artificial intelligence and machine learning at the core of its operating model. The company aimed to reduce costs, improve service quality, and protect margins amid ...

New York, NY, Jan. 20, 2026 (GLOBE NEWSWIRE) -- Q/C Technologies, Inc. (Nasdaq: QCLS) (“Q/C Technologies” or “the Company”), a pioneer of quantum-class computing at the speed of light, today announced ...

CompuChild Expands AI and ML After-School Programs for Elementary and Middle School Students DUBLIN, Calif., Jan. 16, 2026 /PRNewswire/ -- CompuChild, a children's education franchise business ...