New algorithms to make machine learning sustainable
Machine learning is they key component behind the recent successes of intelligent systems and data analytics engines. Machine learning algorithms trained on data can perform impressive tasks, but often at the expense of massive computational resources. Lessening these requirements is the goal of the EU-funded SLING project. SLING will develop a new generation of resource-efficient algorithms for large-scale machine learning solutions, readily applicable to real-world scenarios. The solutions developed in the project will make machine learning more accessible and sustainable, greatly boosting the prospects of developing truly scalable intelligent systems.
Fields of science
Call for proposal
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