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The rise of artificial intelligence (AI) and machine learning (ML) is not only transforming industries but also creating significant opportunities ...
At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...
Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...
In this article, we propose a novel spectral tensor layer for communication-free distributed deep learning. The overall framework is as follows: first, we represent the data in tensor form (instead of ...
Machine learning methods are widely used in bioinformatics and computational and systems biology. Here, we review the development of machine learning methods for protein structure prediction, one of ...
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