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 ...
New York MagazineOpinion

X Really Is Pulling Users to the Right

Everyone with exposure to X knows it has changed, but it’s harder to say how much and with what results. At The Argument, ...

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.
IEEE

Livestock Monitoring Based on Microclimate and Behavior Tracking Sensors: A Systematic Review

Abstract: Sensor-based cattle monitoring is a growing field within precision livestock farming, where machine learning algorithms are used to detect health issues, monitor behavior, and improve ...
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 ...