torchange aims to provide out-of-box contemporary spatiotemporal change model implementations, standard metrics, and datasets, in pursuit of benchmarking and reproducibility. This project is still ...

IBM Analog Hardware Acceleration Kit is an open source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence. ⚠️ This library ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Another particularly interesting emerging application, regarded ...

The water-energy-food (WEF) nexus has evolved into an important transformative approach for facilitating the timely identification of trade-offs and synergies between interlinked sectors for informed ...

Recent advances in deep learning have been driven by ever-increasing model sizes, with networks growing to millions or even billions of parameters. Such enormous models call for fast and ...

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Science is rooted in the concept that a model can be tested against observations and rejected when necessary. However, the problem of model testing becomes formidable when we consider the ...

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