Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...

Discover how long-term growth expectations drive investment decisions and stock valuations. Explore new research that reveals ...

AMD FSR Redstone launches with big promises, but Frame Generation is still flawed and major features are locked to RDNA 4. If you expected a leap ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. They ...

SMPTE has released an updated engineering report examining artificial intelligence and machine learning in media ... Read More ...

Researchers at University Medicine Oldenburg have developed an AI tool that delivers fewer false-positive results than ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

A 4.1% increase in military cyber funding in the FY2026 NDAA budget underpins new requirements for hardened mobile devices, AI security frameworks, and expanded DoD cyber workforce authorities.