We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Abstract: Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. In order to reduce ...
This project implements a distributed machine learning pipeline to predict flight arrival delays with a Mean Absolute Error (MAE) of approximately 8 minutes. The ...
Receptor.AI Inc., 20-22 Wenlock Road, London N1 7GU, U.K. Department of Biophysics and Medical Informatics, Educational and Scientific Centre “Institute of Biology and Medicine”, Taras Shevchenko Kyiv ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...
As the school year winds down, experts are sounding the alarm on the "summer slide," a phenomenon where children lose academic ground over summer break. According to a 2020 study from the American ...
Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...
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