CORDIS Project
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This project aims to enhance the robustness of artificial intelligence by developing a probabilistic reasoning framework for autonomous agents. It focuses on improving decision-making and interactions among agents, addressing the limitations of current deep learning models in real-world applications.
Machine learning is revolutionising computer science and AI.
Much of its success is due to deep neural networks, which have demonstrated outstanding performance in perception tasks such as image classification.
Solutions based on deep learning are now being deployed in real-world systems, from virtual personal assistants to self-driving cars.
Unfortunately, the black-box nature and instability of deep neural networks is raising concerns about the readiness of this technology.
Efforts to address…
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
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United Kingdom, Birmingham
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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