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From FUnction-based TO MOdel-based automated probabilistic reasoning for DEep Learning

Project description

Robust deep learning that ensures safe and fair autonomous agents

Machine learning is a field of computer science focused on 'teaching' computers to perform certain tasks without being explicitly programmed to do so. Although its origins date back to the 1950s, it has advanced tremendously in the last couple of decades. Deep learning is taking it one step further, applying machine learning techniques to the creation of artificial neural networks that increasingly mimic the anatomy and physiology of the human brain. These algorithms will be fundamental to the increasingly autonomous activities of machines and devices and their human-like interactions with people under the umbrella of the Internet of Things and Industry 4.0. The EU-funded FUN2MODEL project will develop a novel framework to ensure complex decisions are made with fairness and safety in mind.

Call for proposal

ERC-2018-ADG
See other projects for this call

Host institution

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Address
Wellington Square University Offices
OX1 2JD Oxford
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 2 301 594

Beneficiaries (2)

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
United Kingdom
EU contribution
€ 2 301 594
Address
Wellington Square University Offices
OX1 2JD Oxford
Activity type
Higher or Secondary Education Establishments
THE UNIVERSITY OF BIRMINGHAM
United Kingdom
EU contribution
€ 116 296
Address
Edgbaston
B15 2TT Birmingham
Activity type
Higher or Secondary Education Establishments