On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...

Two years after the debut of its Quantum Safe Programme (QSP), Microsoft is moving steadily through the process of incorporating post-quantum cryptography (PQC) algorithms into some of the ...

Advancements in connectivity, compute and AI bring unprecedented opportunities, but they also demand robust security measures to protect our digital future. As the world's leading wireless innovator, ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Background: Since 2017, cerebral infarction (CI) has become a leading cause of mortality in China, with rising treatment costs posing significant challenges to the healthcare system. The ...

"The algorithm achieves precision values of up to 0.99, which means that 99% of the systems identified by the machine-learning model have at least one Earth-like planet." A machine-learning algorithm ...

Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses. The human body constantly generates a variety of signals that can be measured from the outside with ...

Palo Alto, California-based SandboxAQ has achieved a significant milestone with the National Institute of Standards and Technology (NIST) having officially selected its Hamming Quasi-Cyclic (HQC) ...

Last summer, mining startup KoBold made a splash when it said it had discovered in Zambia one of the world’s largest copper deposits in more than a decade. Now, another startup, Earth AI, exclusively ...

For each algorithm we anticipate one core class (e.g. System.Security.Cryptography.MLDsa), interop-implementation types as needed (MLDsaCng, MLDsaOpenSsl), and an associated specifier type (e.g.