New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...
A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...
US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...
Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...
Six-Year Streak Highlights Team Dedication, Strategic Growth, and Industry Leadership. FAD's growth is anchored in a reputation for responsive, expert service, including a 4-hour emergency repair ...
DeepMind used physics-informed neural networks to find new solutions to Navier-Stokes equations. The AI uncovered a new family of singularities, later proven mathematically correct. The breakthrough ...
ABSTRACT: We study the finite time domain dynamics of massive vector fields. We consider their standard Lagrangian and Hamiltonian densities and expand them into creation and annihilation operators.
1 Department of Cardiovascular Surgery, General Hospital of Ningxia Medical University, Yinchuan, China 2 Graduate School, Ningxia Medical University, Yinchuan, China Background: Performing ...
The researchers’ device applies principles of neural networking to an optical framework. As a wave encoded with a PDE passes through the ONE’s series of components, its properties gradually shift and ...
Computer scientists at the University of California San Diego have developed a groundbreaking method for generating highly realistic computer-generated images of fluid dynamics, in elements such as ...
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