AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
This is read by an automated voice. Please report any issues or inconsistencies here. California’s high school graduation rate hit 87.5%, the highest since 2017, prompting state officials to celebrate ...
This project aims to build and compare multiple machine learning models for forecasting USD/INR exchange rates using historical data. It will implement both traditional ML methods (Linear Regression) ...
Introduction: Assessing eating behaviors such as eating rate can shed light on risk for overconsumption and obesity. Current approaches either use sensors that disrupt natural eating or rely on ...
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. Simoens and colleagues use a continuous estimation task to ...
Abstract: In the polymer industry, where polymers are transformed into a wide range of plastic products, accurate quality assessment through melt flow testing remains critical but challenging.
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