Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug discovery and understanding of diseases.

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

So, what are the structures in a supervised learning model such as an image recognition model? • Input structure you should provide to your patent counsel: ...

Researchers developed a fully open-source biomolecular structure prediction model that achieves state-of-the-art performance, at the level of AlpahFold3, in an effort to democratize biomedical ...

Based on the patterns they find, computers develop a kind of “model” of how that system works. For instance, some programmers are using machine learning to develop medical software.