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The REDIAL project aims to enhance the efficiency of deep learning by addressing technical challenges in machine learning and system research. It focuses on reducing resource demands for training models and deploying them on constrained devices through new architectures and methods.
In just a few short years, breakthroughs from the field of deep learning have transformed how computers perform a wide-variety of tasks such as recognizing a face, driving a car or translating a language.
Not only has deep learning become an everyday tool, it is also the most promising direction for tackling a number of still open problems in machine learning and artificial intelligence.
However, routine deep learning activities (such as training a model) exert severe resource demands (e.g., mem…
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United Kingdom, Oxford
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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