Resolving data bias improves generalization in binding affinity prediction | Nature Machine...

TL;DR


Summary:
- This article discusses the use of artificial intelligence (AI) in the field of materials science. AI is being used to help discover new materials with unique properties that could be useful for various applications.
- Researchers are training AI models to analyze large datasets of material properties and identify patterns that could lead to the discovery of new materials. This process is much faster than traditional trial-and-error methods.
- The article highlights how AI-driven materials discovery can accelerate the development of new technologies, such as more efficient energy storage systems, better catalysts for chemical reactions, and novel electronic devices.

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