Leo AI compares engineering software that simplifies component sizing, improves CAD integration, and helps engineers select parts based on technical requirements.

Researchers combine machine learning with muon tomography to improve object detection, distinguish closely spaced materials, and support nondestructive structural inspections.

IDEO’s Savannah Kunovsky explains why successful AI products must prioritize usability, reliability, and human control rather than automation for its own sake.

The human-in-the-loop system combines machine learning with engineering expertise to create stronger, more practical structures while reducing design iterations.

Pirros argues that architecture and engineering firms must make historical project data, design decisions, and internal standards accessible to AI before advancing toward digital twins.