MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Remember when we thought smartphones were the pinnacle of tech innovation? We had no idea what was just around the corner.

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

Helping organizations deploy artificial intelligence safely, compliantly, and with confidence AI has enormous potential ...

Transforming B2B Marketing with AI Lead Automation at ISA 2026 Webster, United States - January 14, 2026 / Howell ...

A lab at the University of Idaho will use a Department of Defense grant to develop machine learning models that might be able ...

SRC, a not-for-profit defense research and development company headquartered in Syracuse with an office in Rome on the ...

Quantum computing poses a real and growing threat to established cryptographic algorithms like RSA and Elliptic Curve Cryptography (ECC), which form the backbone of digital security for DLT networks ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, launched a brand-new scalable quantum Fourier transform simulator technology based on multi-FPGA and ...

These advantages have set the stage for network tools powered by AI and ML to reach deeper into service provider networks and back-office systems as a predictive resource capable of correlating the ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...