Event · June 10, 2026

PI Probaligence at the CADFEM AI Conference Singapore 2026

What does engineering look like when AI works as a collaborator rather than a tool? Over 100 engineers, researchers, and industry professionals explored that question at the CADFEM AI Conference Singapore 2026 at the JW Marriott Singapore South Beach on 26 May. PI Probaligence joined to discuss practical AI in engineering, from simulation to predictive intelligence.

Conference attendees gathered on stage for a group photo under the AI Conference Singapore screen

AI in engineering, beyond the buzz

The sessions moved past the AI hype and focused on what already changes engineering work: AI-enhanced structural, thermal, electromagnetic, and multiphysics simulation, predictive engineering, and smart digital applications. The full program is on the official event page.

The audience matched that breadth, with attendees from electronics and semiconductor, aerospace and defence, automotive, and academia. In line with Singapore's national AI initiatives, one theme ran through the day: real adoption happens when industry, academia, and technology partners work together.

Predictive engineering on the agenda

A highlight was the session on AI-powered predictive engineering with STOCHOS, presented by CADFEM. The response confirmed a clear shift from traditional simulation toward predictive, data-driven engineering. Concrete use cases drew the strongest engagement: practical AI on specific engineering problems sparked more questions than any abstract AI topic.

The conference also deepened the collaboration with CADFEM APAC and brought new perspectives from the Southeast Asian market back home. STOCHOS Flow drew particular interest as the workflow layer that puts these methods into daily engineering practice. Thanks to the CADFEM team for the organization and the hospitality. We look forward to building on this momentum across the region.

STOCHOS and CADFEM rollup banners next to the CADFEM AI Conference Singapore banner in the venue foyer
Impressions from the CADFEM AI Conference Singapore 2026.
Conference slide presenting AI use cases across physics and industries, including car crash simulation, aerodynamics, drone antenna assessment, and chip thermal reliability, each with fewer than 50 AI training points
AI use cases across physics and industries, often with fewer than 50 training points.
Conference table with a STOCHOS Flow brochure in the foreground and the AI Conference Singapore stage behind it
STOCHOS Flow materials at the CADFEM AI Conference Singapore.
Next step
Product
STOCHOS Flow

Build, train, and deploy the workflow visually.

Guide
Build an ML workflow without an ML team

The engineer who owns the problem builds the model.

Interactive demo
Try to beat STOCHOS

Three use cases, about two minutes each.

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