Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Scientific Research Publishing

Xie, P., Li, T., Liu, J., Du, S., Yang, X. and Zhang, J. (2020) Urban Flow Prediction from Spatiotemporal Data Using Machine Learning: A Survey. Information Fusion, 59, 1-12.

ABSTRACT: Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...
techxplore

New algorithm enables efficient machine learning with symmetric data structures

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
The Hollywood Reporter

Maggie Q on the Future of ‘Ballard,’ Battling Typecasting and Learning to Pass on Opportunities: “I Can Say No to Things With a Smile on My Face”

After two decades in Hollywood, the newly married actress decided to step away from Los Angeles after losing her home in a mudslide; now she's starring in one of the only L.A.-centric series on TV. By ...
techxplore

Quantum machine learning improves semiconductor manufacturing for first time

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the extreme precision required and the hundreds of steps involved, such as ...