An AI-driven worm using a local open-weight LLM autonomously exploited and replicated across 62% of a 33-host test network in ...
This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
Official PyTorch implementation for CountGD. Details can be found in the paper, [Paper] [Project page]. If you find this repository useful, please give it a star ⭐. Try Using CountGD to Count with ...
Abstract: In this paper, we propose Tree-structured Expectation Propagation (TEP) algorithm to decode finite-length Low-Density Parity-Check (LDPC) codes. The TEP decoder is able to continue decoding ...
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Abstract: In this paper, we develop a segment tree data structure for solving dynamic table lookup problems. The proposed dynamic segment tree (DST) uses all of the distinct end points of ranges as ...
4D-BioReconX is a scalable and versatile framework designed to construct a comprehensive four-dimensional (4D) spatial transcriptomics atlas of whole animals at single-cell resolution. This approach ...
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