Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

The maker movement is a global trend that encourages people to create, innovate, and solve problems through hands-on projects ...

We speak to Cern principal scientist Archana Sharma about pattern recognition, machine learning and quantum technology.

Bitcoin ATM scams are rising fast. Learn how they work, who they target, and what you can do to protect yourself before money ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

Anomalies could be the threats to the network that have ever/never happened. To protect networks against malicious access is always challenging even though it has been studied for a long time. Due to ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Machine learning develops rapidly, which has made many theoretical breakthroughs and is widely applied in various fields. Optimization, as an important part of machine learning, has attracted much ...

Star 167 Code Issues Pull requests [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients deep-learning model-compression ...

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...

Recentive’s four asserted patents involved software for generating event schedules and network maps using machine learning models trained on historical data. Although the applications had ...