The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Abstract: Combining multiple data sources can provide a comprehensive approach to Alzheimer’s disease (AD) staging analysis. This study presents a deep learning (DL) and machine learning (ML) approach ...
Five Carnegie Mellon University faculty members are among the 126 recipients of 2026 Sloan Research Fellowships, which honor early career scholars whose achievements put them among the best scientific ...
Intelligent P&IDs and Share2Review as key functions for efficient engineering and better collaboration For our ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
Today the world of Egyptology faces a silent crisis—not of looting, although that plays a part, but of disconnection. Walk into any major museum, from Copenhagen to California, and you see glass cases ...
Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...
Acer's Veriton NUC AI packs lots of ports and gets the job done as a mini PC for basic work, but you can easily find much faster compact desktops for the same price or less.
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
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