Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Although most scholars say learning math algorithms like regrouping in addition are essential, some worry that schools don't do enough to support the concepts undergirding these common procedures.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

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Then, they use this dataset to train a machine learning algorithm that learns to predict a substance’s chemical identity from its spectrum.

In this study, a machine vision-based and shiitake mushrooms cap weight prediction method is proposed, in which deep learning techniques, traditional OpenCV algorithms, and machine learning algorithms ...