In-depth analysis tagged AI Trends — covering PLM history, vendor strategy, and the technical decisions reshaping engineering software.
5 articles
AI design tools are compressing engineering timelines not by replacing CAD, but by accelerating the expensive iteration loops between design, simulation, and manufacturing validation. Here's how neural surrogates, topology optimization, and AI-augmented parametric modeling combine into a compound workflow.
AI won't automate all of manufacturing. But it will own 80% of specific, well-defined tasks. Understanding which 80% — and why the remaining 20% stays human — is what separates useful deployments from expensive experiments.
5 AI trends remaking manufacturing. How startups are automating production planning, quality assurance, and supply chain—and why incumbents are falling behind.
5 AI trends reshaping PLM and digital thread. How AI is closing data gaps, automating requirements traceability, and wiring design intent into manufacturing and field operations.
5 AI trends remaking CAE and engineering simulation. How neural surrogates, adaptive meshing, and AI-powered physics are turning simulation from a validation step into a design accelerant.
Mesh refinement strategy where element size is adjusted based on predicted or actual stress concentration. Fine mesh where stresses are high, coarse mesh where they are low.
AI-powered automated inspection using computer vision, thermal imaging, or spectroscopy to detect defects in real-time during manufacturing. Unlike sampling-based inspection, autonomous QC inspects 100% of parts.
Computer-Aided Manufacturing programming: the process of generating toolpath instructions for CNC machine tools from 3D CAD geometry. Includes selecting cutting strategies, tools, speeds, feeds, and generating post-processed NC code for a specific machine controller.
The continuous cycle where field data (customer usage, failures, maintenance records, warranty claims) flow back to product design and PLM for incorporation into next generation designs.
Human workers and collaborative robots (cobots) working side-by-side, with AI providing real-time guidance on part handling, task sequencing, and quality checks. Combines human flexibility with robotic consistency.