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.

The United States and Israel launch coordinated strikes on Iran, escalating regional tensions, while Washington moves to ...

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

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an issue is discovered, hundreds of bad decisions could already have been made.

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

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...

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 ...

India's rapid AI integration into critical infrastructure outpaces architectural readiness, creating a coordination gap. A lack of visibility into AI stacks and inconsistent state-level oversight pose ...

“My work protects millions of users, translating theoretical research into practical security implementations at scale.” ...