First, it utilizes Khatri-Rao factorization to reshape the feature learning problem into tensor form which intends to break the feature factor matrix into small pieces and make the problem feasible in ...

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

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Fans of The Matrix are only just learning of a hidden meaning in the title of the Keanu Reeves movie, 26 years on from its release.

However, DMF-based approaches face limitations when dealing with complex and nonlinear raw data. To address this issue, Auto-weighted Multi-view Deep Nonnegative Matrix Factorization with Multi-kernel ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

Combining the fields of engineering, statistics, mathematics and computing, machine learning is one of the leading data science methodologies revolutionising business. This course will cover a wide ...

The ETH Zurich Campus Heilbronn is excited to announce the inaugural edition of the Interdisciplinary School on Machine Learning and Artificial Intelligence for Science. This in-person event will take ...

A test of the app Dia illustrates that the humble web browser may be the path to making artificial intelligence more natural to use. By Brian X. Chen Makers of the most advanced artificial ...

A cash cow is one of the four BCG matrix categories that represents a product or business with high market share and low market growth.

When will your student loan be written off, and how much debt will you actually be in? Here’s everything you need to know about paying yours back.