Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

AI bots told to act as trading agents in simulated markets engaged in pervasive collusion, raising new questions about how ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

In practice, enterprises that embrace provenance transform uncertainty into clarity. They gain the ability to not only ...

A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype discovery pipeline using unsupervised machine learning for comprehensive ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Godement said that the goal of pharmaceutical companies like Amgen, with which he works, is to design new drugs. This has two ...

Olivier Godement points to coding, customer support, and life sciences as key areas where AI can automate jobs. In a recent podcast, Godement emphasized the efficiency which AI brings to tasks like dr ...