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AI-assisted microscopy: Seeing more than light allows

by MEC-S_Admin | 15. April 2025 | AI in MatWerk

Introduction to Generative AI for Microscopy  When discussing generative AI today, most initially think of large language models like ChatGPT capable of producing human-like text. While traditional AI models are designed to recognize patterns and make predictions,...

How Much Training Data is Needed for AI-Based Microstructure Analysis?

by MEC-S_Admin | 28. January 2025 | AI in MatWerk

A Deep Dive into Machine Learning for Material Science. When we introduced the main applications of artificial intelligence (AI) in material science, we emphasized the importance of high-quality and sufficient data. In this article, we’ll explore how much training...

More than metal: how artificial intelligence is redefining materials research

by MEC-S_Admin | 27. November 2024 | AI in MatWerk

Part 2: new horizons and data-driven innovations  In the first part of our blog series “AI in MatWerk”, we presented the basics and three central fields of application of artificial intelligence in materials science (AI in Materials Science). Now we take a look at...

More than metal: How artificial intelligence is redefining materials research

by MEC-S_Admin | 6. November 2024 | AI in MatWerk

Part 1: Fields of application and potential The rapid development of computing power has made computers an indispensable part of modern society. Today, computers process huge amounts of data that help us to better understand complex information and gain new insights....

Continuation of the strategic partnership between Dillinger and MECS: AI-based prediction of steel properties

by MEC-S_Admin | 16. October 2024 | SteelStories

Can the properties of steel be predicted using artificial intelligence (AI)? The answer lies in the microstructure – the microscopic structure of a material. The microstructure stores important information about the manufacturing process and significantly...
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