On the post-quantum side, Cryptolib now includes hardware-accelerated implementations of three families of NIST-standardized PQC algorithms: ML-KEM, ML-DSA, and SLH-DSA. The SLH-DSA (SPHINCS+) ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Overview: Quantum AI combines quantum computing with artificial intelligence to solve complex problems beyond the reach of ...

After a multi-year competition, the U.S. National Institute of Standards and Technology (NIST) selected a suite of algorithms for standardization. For key exchange, the primary choice is the ...

PALO ALTO, Calif. – July 29, 2024 – D-Wave Quantum Inc. today announced it is strengthening the connection between quantum optimization, artificial intelligence and machine learning by extending its ...

The first post-quantum cryptographic algorithms were officially released today, with more to come from ongoing public-private sector collaborations. The first series of algorithms suited for ...

A Nigerian network engineer expert has called on Nigerian policy makers and stakeholders in the tech industry to prioritise resilience in AI/ML infrastructure as key to building a secure and ...

Harvest-now-decrypt-later threats push organizations toward hybrid cryptography and ML-KEM as quantum risks grow. Learn strategies in a webinar.