View All Resources

Using AI Assistants for Qt UI Development

QML coding performance of Large Language Models (LLMs) has a direct impact on the adoption of AI assistants for Qt-based UI development. The presentation will compare different factors influencing the developer’s choice for LLMs including QML coding performance for expert advice and code completion, transparency of training data, and different deployment models.

Oh, here is more

Webinar: When Healthcare HMI and Hardware Fail: Lessons in Building Safe, Compliant, and Future-Proof HIT Systems

This webinar is part of a two-part series that explores how medical Human–Machine Interfaces (HMIs) ...

Watch Video

Webinar: How to 10x Development Speed when Building an ADAS HMI Towards Production

Surround Reality (SR) is rapidly gaining traction because it provides the situational awareness toda...

Watch Video

Webinar: Safe, Smart, Seamless: Navigating HMI Hurdles in Lab Equipment

This webinar is part of a two-part series that explores how medical Human–Machine Interfaces (HMIs) ...

Watch Video

Webinar: Qt for MCUs vs. LVGL: A Comparative Study from Design to Deployment

Listen to Qt Group and Spyrosoft for a practical comparison of Qt for MCUs vs. LVGL. See real-world ...

Watch Video