Researchers from Boston University, Northeastern University, KAIST, and University of Murcia, et al. have released “FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption”.

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

How Safe Are Your Machine Identities in a Secure Cloud Environment? Can you confidently say that your organization’s machine identities are impenetrable? Non-Human Identities (NHIs) are at the ...

The next generation of financial crime prevention will be built on smarter architectures, not bigger data pools.

Artificial Immune System™ (AIS) security framework BOCA RATON, FL, UNITED STATES, February 3, 2026 /EINPresswire.com/ ...

Indian inventor Vatsal Soin has recently filed patent US 19/489,595, India 202511115781, and corresponding PCT applications for the "0→1 Doctrine" — a universal alignment framework that translates ...

The point where artificial intelligence and blockchain tech meet has hit a vital stage where keeping data private is a must.

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...

The Steam Machine is back from the dead. Not as a Valve-supported program for manufacturers to create living room PCs, but instead a home console sibling to the Steam Deck. Valve introduced its second ...