A new study from Tokyo University of Science shows how machine learning can quickly analyse complex electronic structure data that would normally require expert manual review. The approach helps ...
Artificial intelligence (AI) is rapidly becoming one of the most significant drivers of global electricity demand. By 2030, data centre consumption is expected to more than double, from 415 TWh to 945 ...
This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...
Abstract: Magnetic anomaly detection (MAD) is used for detection of visually obscured ferromagnetic objects such as sunken ship wrecks, unexploded ordnance (UXO), archaeological artifacts and mineral ...
Abstract: Guided wave-based structural health monitoring is extensively utilized in various industrial applications to ensure the integrity of components within industrial systems. Among these ...
Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.
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