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MassNet is an artificial intelligence (AI)-ready data corpus for mass spectrometry (MS)-based proteomics, and XuanjiNovo, a nonautoregressive transformer model that leverages a curriculum learning strategy for de novo peptide sequencing is developed.
EviDx reveals that structured scaffolding and dynamic evidence acquisition can significantly enhance the reliability and effectiveness of AI-driven clinical diagnosis.
LiveMem enables LLMs to retain crucial information across context changes, outperforming existing memory methods and ensuring continuity in long-running interactions.