A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...

To develop knowledge beyond text and videos, AIs must have realistic virtual playgrounds where they can make mistakes and learn.

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Dark matter has bewildered scientists for centuries. It makes up most of the universe’s matter, but it can’t be seen directly ...

Gamehaus Holdings Inc. (NASDAQ: GMHS) today announced Gamehaus 2.0, a global, lifecycle-integrated publishing model designed to make hit creation more predictable. The strategy pairs an outside-in ...

Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

By extending a proof of a physically important behavior in one-dimensional quantum spin systems to higher dimensions, a RIKEN ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

Abstract: In order to achieve more accurate control of permanent magnet synchronous linear motor (PMSLM) drive system, a sensorless control strategy of three-vector model predictive current control ...

Is your feature request related to a problem? Please describe the problem. I am trying to use Azure Functions together with .NET Aspire for orchestration and deployment. Currently, Azure Functions ...

Abstract: Conventional data-driven dynamic process monitoring methods usually rely on data collected at a single sampling rate. The effectiveness of these approaches typically diminishes when ...