University of Liverpool researchers have discovered a way to host some of the most significant properties of graphene in a three-dimensional (3D) material, potentially removing the hurdles for these ...

Abstract: Digital twins and visual monitoring of conveyor systems require accurate digital models of dynamic bulk material flows, but existing methods struggle to achieve both speed and precision.

Abstract: This article presents an innovative visual method for measuring material mass online by quantified conveyor belt deformation with deep learning, which offers a noncontact and safe ...

Adds core and adjacent flow technologies with market leadership in critical applications Strengthens ITT’s leadership in core industrial, chemical and energy markets; establishes leading positions in ...

STAMFORD, Conn.--(BUSINESS WIRE)--December 5, 2025-–ITT Inc. (NYSE: ITT), a leading provider of highly engineered critical components and manufacturer of innovative technologies, today announced it ...

December 5, 2025-–ITT Inc. (NYSE: ITT), a leading provider of highly engineered critical components and manufacturer of innovative technologies, today announced it has entered into a definitive ...

ARC Raiders has a significant amount of resources and materials to farm to upgrade and craft every item in the game, so Raiders will need to search far and wide for these items, since the loot is ...

Lucas is a writer and narrative designer from Argentina with over 15 years of experience writing for games and news. He keeps a watchful eye at the gaming world and loves to write about the hottest ...

This project presents UniFlow (Unified Pixel Flow Tokenizer), a unified continuous visual tokenizer that eliminates the conflict between semantic understanding and high-fidelity reconstruction. By ...

When SKF and voestalpine Wire Technology announced last July that they had collaborated in bringing to market the first prototype spherical roller bearing made with steel that contains hydrogen direct ...

VFlowOpt is a novel, training-free token pruning framework designed to enhance the efficiency of Large Multimodal Models (LMMs) by addressing high computational costs from excessive visual tokens. It ...