More information: Taeuk Moon et al, Development of novel collision detection algorithms for the estimation of fast ion losses in tokamak fusion device, Computer Physics Communications (2024). DOI ...

In 2022, scientists at NIF became the first to demonstrate “energy gain” from fusion, meaning that the fusion reactions produced more energy than was delivered to the fuel target via the facility’s ...

Google and Tri Alpha Energy, the world’s largest private fusion company, have joined forces to use machine learning algorithms in an attempt to bring us closer to achieving the dream of clean ...

In a paper published July 25, in the journal Scientific Reports, researchers from Tri Alpha Energy (TAE), the world's largest private fusion company, and ...

IRVINE, Calif., Jan. 20, 2022 (GLOBE NEWSWIRE) -- Kronos Fusion Energy Algorithms (KFEA) is using Simulations & Deep Learning Algorithms with neural networks & advanced disruption controls to ...

MicroAlgo Inc.' s deep clustering algorithm based on multi-level feature fusion effectively solves the problems of data dimensionality disaster and feature redundancy by extracting and fusing ...

Fusion will occur for some teeny-tiny fraction of the collisions (and only a tiny portion of the particles collide). At its most basic, this is an inefficient design.

The average diagnostic accuracy of FusionM4Net improved to 78.5 percent through the multi-stage fusion process, outperforming all other state-of-the-art algorithms with which it was compared ...

SAN FRANCISCO, Oct. 08, 2019 (GLOBE NEWSWIRE) -- Lucidworks, a leader in AI-powered search, today announced native Python support in Fusion 5.0, the latest version of the company’s flagship ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal.