How do AI and Blockchain converge? From Decentralized Compute (DePIN) to Agent Wallets, we explore the infrastructure ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

In an era where artificial intelligence (AI) and machine learning (ML) are driving unprecedented innovation and efficiency, a new class of cyber threats has emerged that puts sensitive data and entire ...

For two consecutive legislative sessions, Connecticut has been unable to agree on comprehensive AI legislation.

Mohan Harish Maturi spanning from privacy-preserving healthcare to quantum-enhanced AI, is a critical contribution to ...

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

CrowdStrike Global Threat Report warns how adversaries are leveraging AI to make campaigns more efficient and more effective ...

One of the U.S. Space Force’s most sensitive missions — tracking foreign satellites and predicting whether they could ...

Rivals do not need to break into a server room to steal an artificial intelligence model. A growing body of peer-reviewed ...

U.S. Rep. Ed Case is asking the Pentagon about recent reports that it is seeking to end tuition assistance to service members attending Hawaii Pacific University along with dozens of other schools ...

AI-powered cyberattacks have arrived, confirming what was once only a theoretical, yet anticipated, risk and they’re heralding a new era in the threat landscape. With AI agents now able to launch ...