Abstract: Meteorological data prediction belongs to the category of spatio-temporal data prediction, which is usually based on the radar image sequence of the past period to predict the radar image ...

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Abstract: The truncated singular value decomposition and its various tensor generalizations have long offered a simple and practical mechanism for compressing data stored in 2D or higherorder tensors.

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

AI innovations have long promised productivity at scale, powered by breakthroughs in underlying technologies such as large language models (LLMs), aiding state-of-the-art applications to reason with ...