Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...
A recent MacSync Stealer version no longer requires users to directly interact with the terminal for execution. The developers of a macOS malware named MacSync Stealer have updated their delivery ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
SUNNYVALE, Calif.--(BUSINESS WIRE)--Yugabyte, the distributed database experts, today announced the findings of its independent Distributed Database Trends Report and its vision for agentic database ...
The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...
Abstract: Many online resource allocation algorithms have been recently proposed to handle optimization problems in dynamic scenarios. However, none of these algorithms have been designed to take into ...
The project aimed to develop a full stack of technologies to bring the practical advantages of quantum computing to industry in the near term Quantum computing is one of the frontiers of research and ...
A simple distributed and scalable application that lets a user add songs to a MySQL relational database via an HTML form and a PHP script. It also allows the user to access the db table records to ...
Szeliski, R. (2010) Computer Vision: Algorithms and Applications. Springer Science & Business Media.
ABSTRACT: Recent advancements in generative AI and large language models (LLMs) have sparked new opportunities in surgical innovation. We present our prototype AI Surgical Assistant Prototype System, ...
Abstract: A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm ...
As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...
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