Machine-learning technology to track odd events among LHC data

Nowadays, artificial neural networks have an impact on many areas of our day-to-day lives. They are used for a wide variety of complex tasks, such as driving cars, performing speech recognition (for example, Siri, Cortana, ...

Helping drug-delivering particles squeeze through a syringe

Microparticles offer a promising way to deliver multiple doses of a drug or vaccine at once, because they can be designed to release their payload at specific intervals. However, the particles, which are about the size of ...

Using machine learning to estimate stellar ages

Researchers from Keele University have developed a machine learning technique that helps astronomers better estimate the ages of stars from the chemicals within their atmospheres. The new research will be presented at the ...

New machine learning maps the potentials of proteins

The biotech industry is constantly searching for the perfect mutation, where properties from different proteins are synthetically combined to achieve a desired effect. It may be necessary to develop new medicaments or enzymes ...

Neural networks could help predict destructive earthquakes

An artificial neural network has taken its first steps toward predicting the timing and size of future destructive earthquakes, according to RIKEN researchers. Their paper is published in the journal Nature Communications.

Refining biome labeling for microbial community samples

In a study published in the journal Environmental Science and Ecotechnology, researchers from Huazhong University of Science and Technology have introduced "Meta-Sorter," an AI-based method that leverages neural networks ...

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