This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
Abstract: Large-scale, high-quality data are considered an essential factor for the successful application of many deep learning techniques. Meanwhile, numerous real-world deep learning tasks still ...
Abstract: The complex submarine geography, variable ocean current dynamics, and challenging underwater communication conditions present significant technical challenges to the implementation of data ...
The Bureau of Labor Statistics is reducing or ending the collection of data that is used to calculate the Consumer Price Index. By Ben Casselman Federal Reserve policymakers have stressed that their ...
Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Allosteric compounds offer an alternative mode of inhibition to orthosteric compounds ...
1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 Key Laboratory of Satellite Navigation Technology, Changsha, China The interference ...
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