The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...
2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...
University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
The performance of rechargeable batteries is governed by processes deep within their components. A fundamental understanding of electrochemistry, structure–property–performance relationships and the ...
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
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Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
When everyone has access to the same AI models, the same AI-enabled tools, and the same vendor ecosystem, organizational ...
In mid-2023, around the time Elon Musk rebranded Twitter as X, but before he discontinued free academic access to ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
NEW YORK, NY, UNITED STATES, January 30, 2026 /EINPresswire.com/ -- The surgical robotics industry is undergoing a ...
Brooks Consulting's Chuck Brooks, a GovCon Expert, explains how AI and quantum technologies are becoming mission-critical ...
This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...
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