The rise of machine learning in astronomy

When mapping the universe, it pays to have some smart programming. Experts share how machine learning is changing the future of astronomy.

Semantic cache for AI-enabled image analysis

The availability of high-resolution, inexpensive sensors has exponentially increased the amount of data being produced, which could overwhelm the existing Internet. This has led to the need for computing capacity to process ...

Lab-on-a-chip for tracking single bacterial cells

Researchers at the Biozentrum of the University of Basel, together with researchers from the Max Planck Institute in Dresden, have set up a novel lab-on-a-chip with accompanying automatic analysis software. As they report ...

A visual database of human plasma compounds

Researchers in Japan have created a database of metabolites from blood samples collected from over 5,000 Japanese volunteers, making it freely available online as a valuable resource for researchers around the world.

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, ...

High-performance computing cuts particle collision data prep time

For the first time, scientists have used high-performance computing (HPC) to reconstruct the data collected by a nuclear physics experiment—an advance that could dramatically reduce the time it takes to make detailed data ...

Machine learning tackles quantum error correction

(—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.

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