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Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...
CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...
AI tool enables developers to build and deploy robust, resource-intensive machine learning models on edge devices ...
The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...
In 2025, Turbine took the first steps in opening its powerful cell simulation platform to the wider drug development ...
Imagine concrete that not only survives wildfires and extreme weather, but heals itself and absorbs carbon from the air.
Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...
Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...
AI-based analytics form the most impactful pillar in the model, enabling digital twins to conduct pattern recognition, demand ...
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