Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy ...
Elon Musk recently and unusually disclosed the algorithm related to the post recommendation system of the social media (SNS) platform **X (formerly Twitter)** that he owns. This algorithm determines ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...
HARRISON, N.J. — Mauricio Pochettino has been trying to solve what was a very real problem within the U.S. men’s national team. After March’s Nations League debacle, the flaws of this U.S. group were ...
AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...
Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...