Training artificial intelligence with artificial X-rays

Artificial intelligence (AI) holds real potential for improving both the speed and accuracy of medical diagnostics. But before clinicians can harness the power of AI to identify conditions in images such as X-rays, they have ...

Trio of tuning tools for modeling large spatial datasets

Predictive modeling of very large datasets, such as environmental measurements, across a wide area can be a highly computationally intensive exercise. These computational demands can be significantly reduced by applying various ...

Researchers identify new bacteria and viruses on human skin

Researchers at EMBL's European Bioinformatics Institute (EMBL-EBI), the National Institutes of Health (NIH) National Human Genome Research Institute (NHGRI), the NIH National Institute of Arthritis and Musculoskeletal and ...

Querying big data just got universal

To solve one of the key obstacles in big-data science, KAUST researchers have created a framework for searching very large datasets that runs easily on different computing architectures. Their achievement allows researchers ...

Crowdsourced family tree yields new insights about humanity

Thanksgiving gatherings could get bigger —a lot bigger—as science uncovers the familial bonds that bind us. From millions of interconnected online genealogy profiles, researchers have amassed the largest, scientifically-vetted ...

Predicting the accuracy of a neural network prior to training

Constructing a neural network model for each new dataset is the ultimate nightmare for every data scientist. What if you could forecast the accuracy of the neural network earlier thanks to accumulated experience and approximation? ...

First report from the world's most ambitious sequencing project

Scientists at deCODE genetics—a subsidiary of Amgen—together with collaborators from Denmark report on the whole genome sequences of 150 thousand participants in the UK biobank in a paper published in the journal Nature ...

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