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Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

Abstract: Transfer learning has been a game-changer for natural language processing (NLP), and this technique has massively accelerated progress in the field of NLP, specifically by substantially ...