The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

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 ...

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 ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Abstract: As personalized learning gains increasing attention in mathematics education, there is a growing demand for intelligent systems that can assess complex student responses and provide ...

Sure, here is the description with all the links removed: gd nick: Deluxe12dd Twitter - X Instagram Twitch! My server Discord! My Music! Yt channel Spotify Newgrounds Apple Music contact me email: ...

Abstract: Compressed sensing (CS) reconstruction is a powerful technique for image compression and reconstruction. Most existing deep learning and deep unfolding reconstruction methods: 1) do not ...

Tesla plans to end production of its Model S and Model X vehicles in the spring. The company will convert the factory space to build its Optimus robot. CEO Elon Musk stated the move is part of a shift ...