New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at ...

Neural operators, as a powerful approximation to the non-linear operators between infinite-dimensional function spaces, have proved to be promising in accelerating the solution of partial differential ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Vision Transformers (ViTs) have become a universal backbone for both image recognition and image generation. Yet their Multi–Head Self–Attention (MHSA) layer still performs a quadratic query–key ...

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging ...

Abstract: This research intends to create a novel approach for solving fractional differential equations (FDEs) of both linear and nonlinear types utilizing the fractional shifted Legendre neural ...

UltiMaker, a provider of 3D printing solutions for education, has launched an AI-powered differentiated learning platform designed for STEM learning. Dubbed MakerBot Nebula, the platform combines 3D ...

In this paper, we adapt a two-species agent-based cancer model that describes the interaction between cancer cells and healthy cells on a uniform grid to include the interaction with a third ...

Onboard autonomy is essential for deep-space missions, where spacecraft must navigate complex, multi-body environments with limited computational resources. Traditional guidance methods often require ...

As 21st-century classrooms continue to evolve, the Department of Defense Education Activity (DoDEA) Americas is at the forefront of implementing differentiated instruction, a teaching approach that ...