Manipulating light on the nanoscale allows scientists to create specific structural colors that do away with the need for potentially harmful dyes.
Results for "deep learning"
Deep Learning for RNA-Protein Interaction Prediction
Hundreds of RNA‐binding proteins and their associated RNAs have been revealed, which enables the large‐scale prediction of RNA–protein interactions using machine learning methods.
A new deep-learning architecture for drug discovery
Convolutional neural networks provide stronger predictive performances for pharmacological assays compared to traditional machine learning models.
Machine learning spots single photons to accelerate quantum communication
Machine learning is bringing forth the future of secure communication, swiftly identifying single photons that hold the key to quantum tech.
How tactile devices can improve children’s learning
Study finds tactile learning in education helps kids engage multiple senses, leading to a richer and more interactive learning experience.
Machine learning’s quantum leap into superconductors and quantum computers
Machine learning unravels the secrets of the Gaudin model, paving the way for improved quantum technologies and a deeper understanding of quantum behavior.
Using machine learning to tame plasma in fusion reactors
For fusion reactions to become practical, parameters such as plasma density and shape must be monitored in real time and impending disruptions responded to instantly.
Machine learning helps create polymer electrolyte for batteries
Automated molecule design through machine learning helps scientists identify and synthesize a new polymer electrolyte for lithium-ion batteries.
Composite materials illuminated with machine learning
Researchers take a different approach to machine learning to uncover the physics of optics in composite materials.
Continual learning, just like humans
An in-memory computing prototype provides a promising solution for edge computing systems to implement continual learning.
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