NIST Identifies Quantum-Resistant Encryption Algorithms

Still worries about how quantum decryption will alter security.

NIST Identifies Quantum-Resistant Encryption Algorithms

Nextgov, Alexandra Kelley, July 5, 2022

Officials from the U.S. National Institute of Standards and Technology (NIST) announced the first four quantum-resistant encryption algorithms, dubbed Crystals-Kyber, Crystals-Dilithium, Falcon, and SPHINCS+. The announcement marks the start of the final phase of NIST's research into the development of a post-quantum cryptographic standard to shield digital information against quantum hacking. U.S. Commerce Secretary Gina Raimondo said NIST's achievement means "we are able to take the necessary steps to secure electronic information so U.S. businesses can continue innovating while maintaining the trust and confidence of their customers." NIST director Laurie E. Locascio said this initial slate of quantum-resistant algorithms "will lead to a standard and significantly increase the security of our digital information."  ... ' 

DOE Unveils AI and Tech Office

Another vote of confidence for the current emergence of AI, depending upon how you define it.

DOE Unveils AI and Technology Office
NextGov.com
Brandi Vincent

The U.S. Department of Energy (DOE) has established an Artificial Intelligence and Technology Office to coordinate and accelerate the agency's enterprise efforts to leverage the technology. The DOE currently has a wide range of artificial intelligence (AI) and machine learning applications and projects under way, including strengthening the nation's national security posture, supporting the nuclear stockpile, and enabling the Internet of Things. The agency also conducts AI research at its national labs, where experts are building three exascale computers and conducting advanced research on four of the 10 fastest supercomputers in the world. Said Energy Secretary Rick Perry, "The importance of [AI] to our country, the importance of this to your children, to our families, and economy, can’t be overstated."  .... "