From designing proteins not found in nature to extending healthy lifespan, Retro Biosciences is applying AI models to advance cellular reprogramming for aging research. The company operates across ...

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Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

State-of-the-art AI programs can support the development of drugs by predicting how proteins interact with small molecules.

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

It took a year and some financial acrobatics, but Meta Platformsand a small army of bankers and lawyers were able to secure funding for a$27 billiondata center project withoutdoing any immediate ...

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...

The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...

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A new quantum computing protocol may be able to augment a standard technique for understanding molecules in chemistry, ...