Abstract: Improving the quality of underwater images is essential for advancing marine research and technology. This work introduces a sparsity-driven interpretable neural network (SINET) for the ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
The advent of artificial intelligence might be just the latest stage in a guiding biological process that has produced ever more complex, mutually dependent organisms over the history of life.
Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
The Tomorrow’s Quants series explores the skills needed by new quant recruits, drawing on a survey of 39 employers, and six ...
Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...
Abstract: Forecasting within signal processing pipelines is crucial for mitigating delays, particularly in predicting the dynamic movements of objects such as NBA players. This task poses significant ...
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