The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

In many industrial processes, foaming is an unavoidable side-effect of mixing, shearing and powder incorporation.

Integration of NVIDIA Omniverse libraries to bring CAD and PLM data into real-time simulation and immersive design ...

Littelfuse, Inc., a diversified, industrial technology manufacturing company empowering a sustainable, connected, and safer ...

Hardware Design Awards Hardware Design Awards Entry A' Design Award & Competition Announces Call for Nominations for A' Internationa ...

RIT’s AMPrint Center receives NYS renewal contract to advance 3D print technology and acquires 'fastest' printer plus ...

Innovative Compression Molding Enables Complex Designs, Embedded Features, and Material Integration for OEMs Across Industries ...

Industrial & warehousing demand at all-time high; Delhi-NCR, Chennai, Mumbai & Bengaluru saw at least 2 mn sq ft of space uptake in H1 2025: Colliers ...

This solution leverages Amrize’s material engineering expertise and Meta-developed open-sourced artificial intelligence (AI) models, working in partnership with The Grainger College of ...

Associated Builders and Contractors Chief Economist Anirban Basu cites labor shortages, tariffs as continuing industry challenges while construction spending slows amid caution and the end of ...