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Clinical and bio workflows punish fragile models quickly. Training A Single Transformer Layer Can Match Full-Parameter RL Training.

Clinical and bio workflows punish fragile models quickly. - Transformers use the same forward computation stream to both predict the next token and store useful state for future token predictions.

Clinical and bio workflows punish fragile models quickly. - We introduce TiRex-2, a recurrent xLSTM-based time series foundation model that generalizes the univariate TiRex to multivariate forecasting with both past and future covariates.

Clinical and bio workflows punish fragile models quickly. - Data analysis in the medical domain often encounters scenarios involving a limited target dataset and a large, unannotated dataset with a general distribution.

Clinical and bio workflows punish fragile models quickly. - Operator learning for partial differential equations (PDEs) on arbitrary geometries builds fast neural surrogates for large-scale simulation.

Clinical and bio workflows punish fragile models quickly. - We present SynLaD, a latent diffusion framework for small-molecule generation that unifies ligand-based drug design objectives (what to make) with synthetic accessibility (how to make it).

Clinical and bio workflows punish fragile models quickly. - Active learning reduces labeling cost by querying the most informative unlabeled samples, but standard coreset methods ignore known data symmetries and can waste budget on transformed versions of the...

Clinical and bio workflows punish fragile models quickly. - Computer-assisted synthesis planning breaks target molecules into accessible precursors using large libraries of reaction rules that assign each transformation a deterministic, interpretable label.

Clinical and bio workflows punish fragile models quickly. - Recent multimodal large language models (MLLMs) have shown strong cross-modal understanding and coordinate generation abilities in visual grounding.

Large Language Models (LLMs) represent one of the most significant advances in AI and natural language processing in recent years. Why it matters Clinical and bio workflows punish fragile models quickly.