Machine learning & AI
Generative adversarial networks (GANs) are widely used to synthesize intricate and realistic data by learning the distribution of authentic real samples. However, a significant challenge that GANs face is mode collapse, where ...
21 hours ago
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Computer Sciences
A theoretical proof shows that a technique called overparametrization enhances performance in quantum machine learning for applications that stymie classical computers.
Jun 26, 2023
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Computer Sciences
Anomaly detectors are used to distinguish differences between normal and abnormal data, which are usually implemented by evaluating and ranking the anomaly scores of each instance. A static unsupervised streaming anomaly ...
May 5, 2023
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Software
More is not always better—sometimes, it's a problem. With highly complex data, which have many dimensions due to their numerous parameters, correlations are often no longer recognizable. Especially since experimentally ...
Dec 20, 2022
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Engineering
Permanent magnet synchronous motor (PMSM) systems have been widely used due to their high power density and high efficiency. Digital control systems have been applied to improve the performance of PMSM systems. Proportional ...
Oct 10, 2022
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Computer Sciences
Throughout the COVID-19 pandemic, case rates have ebbed and flowed in ways that have been hard for epidemiological models to predict. A new study by mathematicians from Brown University uses an advanced machine learning technique ...
Dec 1, 2021
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81
Engineering
Acoustical properties of the sea bottom can be described with a geoacoustic (GA) model comprising several layers characterized by parameters such as sound speed, density, sound absorption and thickness.
Aug 19, 2020
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6
Engineering
Researchers in Carnegie Mellon University's College of Engineering have developed a novel approach to optimizing soft material 3-D printing. The researchers' Expert-Guided Optimization (EGO) method combines expert judgment ...
May 31, 2018
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