Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

China brought into force on Monday new trade secret regulations that explicitly extend legal protection to data and algorithms for the first time, as the country moves to strengthen safeguards for ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

The thermometer reads 95°F (35°C) in Brooklyn, and vulnerable individuals need information to take appropriate action. New York City officials must gather facts quickly to provide updates on cooling ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Post-quantum cryptography military deadline: the Department of War’s first PQC strategy sets a binding 2031 mandate for every ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers identify potential system failures before they cause major problems, like a ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...