This sub-forum focused on the core theme of "Applied Artificial Intelligence Research," inviting several scholars deeply ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’ve been seeing the headlines for years: “Researchers find flaws in the ...

Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that ...

Machine learning requires a lot of computing power; early adopters simply lacked the infrastructure to make it cost-effective.

Like all important work, machine learning is 5 percent inspiration, 95 percent perspiration. It takes a lot of bad hypotheses to get to a good one. Most organizations vested in their machine learning ...

Machine learning at the edge has reached a point where it’s no longer enough to focus solely on the neural network’s first steps in the world—the deployment phase is here.

The core of this patent lies in the establishment of a rolling mill frame analysis system based on deep learning. The system first acquires a three-dimensional model of the rolling mill frame and ...

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