LNT

In the rapidly evolving world of artificial intelligence, few advancements have had as profound an impact as Large Language Models (LLMs). Rajnish Jain, a disti

AI isn't just a gas pedal for learning. Its real power is in modulating speed, balancing rapid insight with deep, meaningful understanding.

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning-based approach that significantly accelerates the computation of a nonlinear Fokker-Planck-Landau (FPL) collision operator for fusion plasma.

Abstract The nonlinear collision operator consumes a significant amount of computation time in tokamak whole-volume modeling, and in current numerical

This Research Topic explores the integration of large language models (LLMs) with edge computing to optimize generative AI for resource-constrained Internet

Landscape Management Network (LMN) today announced a strategic partnership with Attentive (Attentive.ai), a pioneer in AI-powered mapping and measurement for field service industries. Through the partnership,

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission computed tomography (SPECT),

Wearable Devices Ltd. (the "Company" or "Wearable Devices") (Nasdaq: WLDS, WLDSW), an award-winning pioneer in artificial intelligence ("AI")-based wearable gesture control technology, announced a groundbreaking advancement in human-computer interaction: Large MUAP Models ("LMM").