Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex simulation scenarios. The game-changer? Engineers train their model and use it ...

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...

Engineers have developed a model that combines machine learning and collaborative robotics to accelerate the design of aerogel materials used in wearable heating applications. Engineers at the ...

Interview Kickstart today announces the publication of its comprehensive career guide titled "How to Transition from Software Engineer to Machine Learning Engineer," a detailed resource created to ...

College Park, Md. — Engineers at the University of Maryland (UMD) have developed a model that combines machine learning and collaborative robotics to overcome challenges in the design of materials ...

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

In thinking about how so many of the recent events Machine Design has covered have focused on artificial intelligence, I can’t help but wonder how our readers might be using this technology in their ...