Machine learning algorithm helps in the search for new drugs

Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard, which could accelerate the process of developing new treatments for disease.

Machine-learning software predicts behavior of bacteria

In a first for machine-learning algorithms, a new piece of software developed at Caltech can predict behavior of bacteria by reading the content of a gene. The breakthrough could have significant implications for our understanding ...

Developing new computing approach to materials science

Krishna Rajan of Iowa State University and the Ames Laboratory thinks there's more to materials informatics than plotting a thick cloud of colorful data points. As he sees it, managing computing tools to discover new materials ...

Marketing expert tracks online shoppers

Online retailers have long wondered if trumpeting consumer-behavior statistics on their websites could hurt business. Qi Wang’s new findings should ease their fears, just in time for Cyber Monday.

Predicting what topics will trend on Twitter

Twitter's home page features a regularly updated list of topics that are "trending," meaning that tweets about them have suddenly exploded in volume. A position on the list is highly coveted as a source of free publicity, ...

Predicting the existence of heavy nuclei using machine learning

A collaboration between the Facility for Rare Isotope Beams (FRIB) and the Department of Statistics and Probability (STT) at Michigan State University (MSU) estimated the boundaries of nuclear existence by applying statistical ...

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