Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Four-dimensional scanning transmission electron microscopy, coupled with a wide array of data analytics, has unveiled new insights into complex materials. Here, we introduce a straightforward ...
I’ve been covering Android since 2023, when I joined Android Police, mostly focusing on AI and everything around Pixel and Galaxy phones. I’ve got a bachelor’s in IT with a major in AI, so I naturally ...
Optimal active unsupervised fault detection in cascaded h-bridge inverters based on machine learning
Nowadays, many different industries are using more Power Electronic (PELS) devices, in which Multi-Level Inverters (MLI) are not as an exception. Thus, these devices are gaining popularity in the ...
A transfer learning-based graph neural network model using mIF images to predict neoadjuvant immunochemotherapy response in patients with gastrointestinal cancer. This is an ASCO Meeting Abstract from ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
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