Automatic Differentiation (AD) forms a cornerstone in the optimisation of machine learning models, providing an efficient computational method to obtain accurate derivatives. This technique underpins ...
Researchers extend the mathematical approach called automatic differentiation from machine learning to the fitting of model parameters that describe the behavior of field-effect transistors. This ...
In a screening for a functional impact to the neuronal differentiation process, researchers identified a specific circular RNA, circZNF827, which surprisingly 'taps the brake' on neurogenesis. The ...
Rob Meyerson was struggling to fully grasp some of the assertions in Byron Sharp's books, so he started digging into the underlying scientific research. Here’s what he learned so far. Among the book’s ...
Technology to predict how our bodies will manage chronic diseases such as Crohn's disease and inflammatory bowel disease promises to accelerate the discovery of new treatments, identify leads for ...
Rob Meyerson was struggling to fully grasp some of the assertions in Byron Sharp's books, so he started digging into the underlying scientific research. Here’s what he learned so far. Among the book’s ...
Human gut organoids with (left) and without (right) the transcription factor ZNF800. On the left, wild type (unaltered) gut organoids show the presence of goblet cells (green), enteroendocrine cells ...
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