Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely ...
A new NURBS-based algorithm is revolutionizing gridshell design by enabling faster, smoother, and more flexible shape-finding ...
It is easy to see how a program flows. For example, where does following one path, as opposed to another, take the program? Flowcharts follow an international standard - it is easy for any flowchart ...
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
Background Endometriosis is a debilitating gynaecological disorder with an elusive pathogenesis. While gut microbiota dysbiosis has been implicated, the causal role of gut-peritoneum microbial ...
Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...
Abstract: The selection of statistically homogeneous pixels (SHPs) is essential for precise deformation monitoring in distributed scatterer synthetic aperture radar interferometry (DS-InSAR). Current ...
Abstract: We develop a new class of model-free deep reinforcement learning algorithms for data-driven, learning-based control. Our Generalized Policy Improvement algorithms combine the policy ...
Data structures and algorithms are fundamental concepts in computer science that enable efficient data storage, organization, and manipulation. This repository serves as a collection of common data ...
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