Discover how PhysicsX empowers engineers to revolutionize design, manufacturing, and operation processes with AI-driven, real-time simulations, unlocking unprecedented performance and efficiency across advanced industries like aerospace, automotive, and renewable energy.

In this article we explain how we partner with customers to tackle critical engineering problems through strategic and collaborative pilots. You will find details about our process – from identifying real-world challenges to deploying multi-disciplinary teams that work side-by-side with customer engineers. Learn how we ensure pilots are immediately valuable, short-term, and focused on clear, measurable outcomes.

At PhysicsX, we believe that machine learning methods will fundamentally transform the landscape of physical simulation, making it more efficient and powerful than ever before.Read our Research team’s perspective on how this transformation is taking place and on the most promising approaches
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Our research team, led by Michalis Michaelides, offers a valuable perspective on incorporating quantified uncertainties into Artificial Neural Network (ANN) models. Understanding and quantifying uncertainty is crucial for effective optimization and principled decision-making. In our latest piece, we outline accessible methods for integrating uncertainty quantification into ANNs. Explore the details and the broader landscape of this intriguing topic.
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In this insightful journey, Axen Georget – one of our Product Machine Learning Engineers – unravels the complexities of Deep Learning using Python and PyTorch. The focus is on streamlining the transition from experiments to production-ready models, emphasizing speed, efficiency, and industry best practices. Designed to narrow the gap between experimental and product-ready models, this 4-part series is tailored for individuals with a background in machine learning and programming.

Read the full series on Medium

Robin Tuluie (Founder, Chief Science and Engineering Officer) and  Nicolas Haag (Co-founder and Director of Engineering) joined Stephen Ferguson on Simcenter's podcast on CAE and Engineering AI/ML, discussing how we are combining AI and engineering while empowering organisations to enable breakthrough engineering.

Listen to the episode here