AI arrived in healthcare with big promises. It would ease physician workloads, speed decisions in emergencies, and cut ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...

Businesses, especially, are all in on AI. Stanford University’s 2025 AI Index noted that U.S. private AI investment stood at ...

In a dizzying age of machine learning triumph, where systems can generate human-like prose, diagnose medical conditions, and synthesize novel proteins, the AI research community is facing an ...

The robots are coming for health care, just like they are for virtually everything else. But in this very narrow instance, at least, that may actually be a good thing. In the spirit of a week ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Artificial intelligence has become a buzzword in today's world, with nearly every smartphone launched in the previous two years basing its marketing around AI in some shape or form. It's gotten to a ...

Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models to ...

As AI adoption accelerates faster than regulation, Alexander Schlager of Aiceberg.ai argues that transparent, explainable AI ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.