AI tool reliably predicts the flame resistance of new materials

Researchers at IMDEA Materials Institute have developed an artificial intelligence (AI)-based strategy to predict and assess ...
AZoM

Berkeley Lab Uses Advanced Machine Learning to Optimize Chiral Perovskites

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...
Interesting Engineering

US computer model could slash bridge material use by up to 90% and cut emissions

A new computer model developed by US researchers could reduce the amount of material for bridges and buildings by up to 90 percent and make future structures far more efficient. The approach was ...
Tech Xplore

Plain-language AI workflow tool could cut cloud energy use and costs dramatically

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...
AZoRobotics

Structural Optimization and Robotic Concrete Construction: Key Trends from 2015–2025

Researchers identify fabrication constraints, reinforcement integration, sensing, and quality control as key factors in ...
IEEE

Python & Django the Fastest Growing Web Development Technology

Abstract: This paper spreads the knowledge of Python and Django for World Wide Web site development. Web development can be defined as the process involved in building, creating and maintaining a ...