Abstract: Accurate identification of crop and weed species is critical for precision agriculture and sustainable farming. However, it remains challenging due to visual similarity among species, ...
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
Image-2, a text-to-image model ranking third on the Arena leaderboard, but daily caps and square-only output limit its appeal.
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Abstract: Optical Character Recognition (OCR) for text recognition using machine vision has significantly improved, particularly when handling heterogeneous textual data. Traditional OCR models ...
Ulcerative colitis (UC) is a chronic, immune-mediated inflammatory disorder of the colon that follows a relapsing-remitting course. Characterised by mucosal inflammation, the disease requires accurate ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
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