Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...

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.

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

Trade Republic has unveiled the biggest overhaul of its trading infrastructure since launch, introducing a Best Price execution algorithm that searches liquidity across 30 global exchanges, a ...

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 ...

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

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

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

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 ...

Abstract: Data-driven evolutionary algorithms (DDEAs) aim to utilize data and surrogates to drive optimization, which is useful and efficient when the objective function of the optimization problem is ...