Quantum algorithm beats classical tools on complement sampling tasks

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
IEEE

Low-Power, High-Efficiency Image Retrieval for Clothing Images: Comparing Visual Similarity Algorithms and Semantic Deep Learning Models

Abstract: Deep learning has become a dominant force in artificial intelligence; however, its substantial energy consumption and associated carbon emissions have received relatively little attention.
Frontiers

Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial

The primary outcome will be gastrointestinal symptom score. Secondary outcomes will include total dyspepsia symptom score, adequate relief of dyspepsia, overall treatment effect, visual analog scale ...
GitHub

Image inpainting experiment comparing FISTA,ISTA and BM3D algorithms on Set14 dataset

This repository contains the implementation and experimental results for comparing FISTA (Fast Iterative Shrinkage-Thresholding Algorithm), ISTA (Iterative Shrinkage-Thresholding Algorithm), and BM3D ...
IEEE

Comparing Algorithms for Loading Classical Datasets into Quantum Memory

Abstract: Quantum computers are gaining importance in various applications like quantum machine learning and quantum signal processing. These applications face significant challenges in loading ...