Inventing the 'Google' for predictive analytics

Companies often employ number-crunching data scientists to gather insights such as which customers want certain services or where to open new stores and stock products. Analyzing the data to answer one or two of those queries, ...

Machine learning tackles quantum error correction

(Phys.org)—Physicists have applied the ability of machine learning algorithms to learn from experience to one of the biggest challenges currently facing quantum computing: quantum error correction, which is used to design ...

SHINE software shows data using virtual reality

A new piece of free, online software, called SHINE3D, has been developed by researchers at CERN's NA61/SHINE experiment to show the physics data they're creating in 3-D.

Why keep the raw data?

The increasingly popular subject of raw diffraction data deposition is examined in a Topical Review in IUCrJ. Building on the 2015 workshop organised by the IUCr Diffraction Data Deposition Working Group (DDDWG), the authors ...

The value of the open science movement

Research creates its own problems. Articles may be withdrawn because of irregularities, results can be impossible to reproduce, methods are often non-standardised, and publications may not be accessible (See 'Fixing science', ...

Ecologists compile huge soil fungi database

Forest ecologist Justine Karst is a co-author of a significant new resource—the world's largest database of research analyzing how mycorrhizal fungi affect plant productivity.

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