There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
Quantum computing has imprinted itself on our society as a weird, wacky way of computing that most of us can’t comprehend.
Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...
Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
Abstract: The increased volume of medical datasets has produced high dimensional features, negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is fundamental ...
A new bootfitting technology is aiming to eliminate endless hours in a shop modifying boots. We tested it, and yes, there ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Abstract: A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization (PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO is a new ...
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