Stable Diffusion

"The mini-labs provide a flexible test environment that delivers real measurement data," Gamella said in a statement. "They're a bit like a playground for algorithms, where researchers can test their AI beyond simulated data in a controlled and safe environment."

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing—both physically and technologically.

Austin, Texas, United States, March 8th, 2025, FinanceWire The companies expect the application to accelerate autonomy in agriculture,

"This material solves a lot of existing challenges and is ready to be used today." Research team makes breakthrough that could revolutionize the future of AI: 'We can see with our own eyes the impact' first appeared on The Cool Down.

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

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when studying how cells interact and respond to changes in their environment,

In the evolving world of machine learning (ML), the phenomenon of data and concept drift presents both challenges and opportunities. Sandeep Bharadwaj Mannapur, an experienced researcher in this domain,