Nature

Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data

The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advances in our understanding of the evolutionary and ...
Nature

A self-supervised machine learning pipeline for extracting information from live cell images at multiple doses and timepoints

Live cells are complex information-processing systems that continuously sense their environment and respond dynamically. However, conventional endpoint assays typically require fixation or cell ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
VentureBeat

Meta and Google researchers’ new data curation method could transform self-supervised learning

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As AI researchers and companies race to ...
Medical Xpress

Semi-supervised segmentation method developed for 3D medical image accuracy

A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...