For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds ...

In this work, the Convolutional Neural Network VGG-16 is applied for the analysis of histogram images of signals obtained for liquid-gas flow by using gamma-ray absorption. The experiments were ...

Adding its new MTU Maintenance Dallas facility in Fort Worth, Texas, to CFM’s official Leap overhaul network is just one example. “We are committed to invest in MRO,” Schreyogg said.

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

(Reuters) -U.S.-based equipment manufacturer Chart Industries and flow control systems maker Flowserve Corp agreed to merge in an all-stock deal, valuing the combined company at about $19 billion.

The group of House and Senate Democrats say Trump's designation of Latin American cartels as foreign terrorist organizations unlocks legal tools that will help address the flow of U.S.-made guns ...

Researchers combine acoustic monitoring with a neural network to identify fish activity on coral reefs by sound. They trained the network to sort through the deluge of acoustic data automatically ...

The U.S. government has nearly $36 trillion of debt on issue and its bonds are the bedrock of the global financial system.

Flow Wars | Wargaming Logistics Networks in a Military Tug o’ War By Erica Herzog, Oliver Stein, and Dr. Suzanne DeLong January 22, 2025 ...

Graph Neural Network for Heat Transfer Problem In recent years, graph neural networks [1] have been applied to various types of application tasks. This example shows how to train a graph neural ...