A go-to software platform scientists use to do their work could become less glitchy, thanks to University of Alberta research. A comprehensive study of the vulnerabilities in Jupyter Notebook, a ...
Credit: Getty Images Researchers developed a machine learning-based tool to predict individualized risk for recurrent multiple sclerosis activity after disease modifying therapy discontinuation. A ...
College of Engineering, Cornell University, Ithaca, New York 14853, United States Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, ...
A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...
When a new game gets revealed at Gamescom, you can usually tell right away whether it’s just another shooter or something that could actually shake up the scene. Project Spectrum landed in the second ...
State leaders demand explanation for stop-work order on wind project Grid operator warns delay risks reliability for 15 million people Green Oceans group supports halt, citing flawed permitting ...
Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...
University of Electronic Science and Technology of China, Chengdu 610056, China Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518000, China ...
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
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