Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

Abstract: This paper introduces an application of Grover’s algorithm to optimize neural network training by eliminating the computationally demanding backward propagation. It clarifies previous ...

This repository contains the core recommendation system powering the "For You" feed on X. It combines in-network content (from accounts you follow) with out-of-network content (discovered through ...

Abstract: The integration of renewable energies sources into hybrid distributed generation systems presents significant challenges, particularly when predicting critical. Syngas power plants are often ...

The Dyno Frontiers Program has evolved into the Dyno Frontiers Network, a curated ecosystem connecting therapeutic developers advancing innovative payloads – including base and prime editors, ...

Dyno Frontiers Network expands to become a curated ecosystem connecting therapeutic developers with the delivery technology, manufacturing and development services, investment and expertise they need ...

The Arkodim company specified that the neural network analysis and tracking algorithms calculate ballistics and ensure reliable target tracking even during brief loss of visual contact MOSCOW, May 12.

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers identify potential system failures before they cause major problems, like a ...

A new computational method reveals a faster way to explore intricate quantum systems, pointing toward emerging applications in next-generation computing. Credit: Stock A new quantum-inspired algorithm ...