AI-driven models, particularly those based on machine learning (ML) and deep learning (DL), such as Long Short-Term Memory ...

“The truthfulness or reliability of the data, which refers to the data quality and the data value. Big data must not only be ...

Tropical cyclones represent a danger to life, property, and the economies of communities. Researchers who study tropical ...

Measuring the environmental impact of AI is key – not only to understand and reduce its footprint–but to build the foundation ...

X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.

Common use cases of AI in the supply chain illustrate the benefits for companies of integrating AI into their operations. Attorneys supporting the supply chain function can similarly use generative AI ...

SPP is partnering with Hitachi to develop an AI solution to address critical power transmission reliability and flexibility ...

Targeted design for test, better fault models, and in-system testing must keep pace with advanced-node components.

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A new wave of innovations is driving a global shift in how nations monitor, predict, and respond to water quality threats ... dynamic detection of anomalies, prediction of pollution events, and ...