Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.

Composite gear design at igus is proving that lightweight, smart and maintenance-free solutions are the future of industrial ...

Discover Taiwo Feyijimi's work at the crossroads of AI, engineering, and learning. Explore his innovative frameworks shaping ...

Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here ...

For decades, the Nissan Z-series has defined affordable, engaging performance, with the 370Z (2009-2020) line proudly ...

With data centers now mission-critical information hubs, IT and data center teams must future-proof their infrastructure to ...

The role of data engineering has evolved dramatically. In the past, it was primarily operational, focused on ensuring the smooth functioning of data pipelines, accurate dashboards, and timely delivery ...

Investigating adhesion in polymer films, this article highlights the advantages of in-situ testing over traditional ex-situ ...

Invent showed how agentic AI transforms software development with autonomous planning, vertical integration, and ...

Anthropic has launched a beta integration that brings its $1 billion Claude Code AI programming agent directly into Slack, ...

Flexible, future-ready test strategies are crucial to the irregular cycle of sensor design and standards development.

Learn the role of mobile app security in development and the best practices that protect data, prevent breaches, and strengthen user trust.