Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Abstract: In this article, an optimal tracking control algorithm is derived for second-order discrete-time multiagent systems (MASs) with unknown system dynamics and input delay. First, the optimal ...

Financial services organizations are eager to harness artificial intelligence, but many stumble before they even get started. Legacy systems, siloed data and rigid architectures can slow innovation, ...

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

Mortgage-pricing data has gone digital. But when does transparency turn into coordination? In early October 2025, mortgage-technology provider Optimal Blue and three major lenders were sued in a ...

BRUSSELS, Nov 4 (Reuters) - Meta Platforms (META.O), opens new tab on Tuesday rejected a ruling by the French rights watchdog against its algorithm after allegations of discriminatory job ...

Introduction: Traditional operation and maintenance decision algorithms often ignore the analysis of data source security, making them highly susceptible to noise, time-consuming in execution, and ...

White House press secretary Karoline Leavitt on Saturday revealed further details of a deal reached between the U.S. and China over control of the popular social media platform TikTok, sharing that ...

White House press secretary Karoline Leavitt on Saturday revealed further details of a deal reached between the U.S. and China over control of the popular social media platform TikTok, sharing that ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...