AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SPARC is introduced, a retrieval-guided test-time specialization framework that adapts a pretrained predictor using a spectral reference library without accessing test-query spectra to selectively preserve trustworthy predictions during continual specialization.
DeconX transforms residual-based missing cell-type inference from exploratory analysis into a complete computational framework, enabling accurate characterization of tissue heterogeneity from archival bulk RNA-seq data even when single-cell references are incomplete.
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