Introduction: In line with the overarching demands of the current educational ecological reform, online learning should transition from “novelty” to “normalization.” Teachers in elementary and ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

The XIAOML Kit is one of the devkits that complements Harvard University Professor Vijay Janapa Reddi’s book “Introduction to Machine Learning Systems“, available for free as a 2050-page PDF file. The ...

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

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Abstract: Effective fault identification and diagnosis are critical in modern power systems to ensure operational reliability and reduce economic losses. This research describes a novel approach that ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

DeCapria, D., 2025: DataOps: Towards More Reliable Machine Learning Systems. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...

The combination of machine learning with spectroscopy has made sound progress in recognizing chemical substances in recent years. However, challenges remain in terms of cross-system generalization. It ...