If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Researchers have developed a machine-learning workflow for processing complex 2D X-ray total scattering data from thin film ...

His model, published Saturday in Nature Communications, could automate design processes by leveraging machine learning and collaborative robotics. Similar to water-based gels, but instead made using ...

Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate ...

Machine intelligence accelerated design of conductive MXene aerogels with programmable properties. Nature Communications, 2024; 15 (1) DOI: 10.1038/s41467-024-49011-8 ...

Membership inference is also highly associated with “ overfitting,” an artifact of poor machine learning design and training. An overfitted model performs well on its training examples but ...

Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy The method could accelerate the development of more effective adeno-associated viruses (AAVs) Date ...