A U.S. data center power outage caused view and upload glitches as users allege censorship after new ownership and app uninstalls briefly spiked ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

Prediabetes increases a person's risk of developing Type 2 diabetes. An estimated 1 in 3 teens and preteens, ages 12 to 17, have prediabetes, according to new data from the Centers for Disease Control ...

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

Abstract: The fast and efficient in situ inspection of aircraft engine blades is crucial for maintaining the safety and reliability of aircraft engines. The automation and intelligence of aeroengine ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

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Structure Therapeutics' stock has declined over 40% since last year, but its differentiated technology platform and promising drug pipeline still support a "Buy" rating. Structure's lead candidate, ...

The pharmaceutical industry is on the cusp of an AI-driven revolution. By 2030, AI-powered drug discovery is projected to be a $9.1 billion market, growing at a staggering 29.7% CAGR. AI promises to ...