European Companies Search Engine
EU funding (€2,311,847): Unsupervised Perception Hor1 Jan 2022 EU Research and Innovation programme "Horizon"
Overview
Text
Unsupervised Perception
The aim of UNION is to liberate machine learning, enabling everyone to use it productively and creatively instead of being the demesne of experts. Today, machines must be explicitly taught any new skill via manual supervision, incurring a cost justifiable only for applications of general interest. Thus, as laypeople, we can benefit from powerful search engines, medical devices and personal assistants that are designed by means of machine learning, but we cannot easily teach machines to address our particular professional or personal needs. From recognizing illustrations on Greek vases to building catalogues of store products, machine learning could empower millions of individuals, but current technology cannot scale to these micro-tasks. The goal of UNION is thus to develop machines that can learn to understand audio-visual data with little to no manual supervision, opening up artificial intelligence to countless new applications. To this end, UNION will investigate two key hypotheses. The first is that concepts that reflect intrinsic properties of the natural world, such as detachable objects and their 3D geometry, physics and high-level class, can be learned without manual supervision, while still being interpretable to a human. The second hypothesis is that, given this ability, a machine can pick up new skills useful to specific stakeholders from no or just a few manually-annotated examples. These hypotheses will be validated (1) by developing algorithms that can learn without manual supervision, (2) by endowing machines with advanced general-purpose audio-visual analytical skills, and (3) by using the knowledge already acquired to learn new skills very efficiently, from little data and even less manual supervision. This will be delivered as an open-source package that will demonstrate how one can create open-ended audio-visual analysis software that can be taught a large variety of different tasks with at most lightweight manual assistance.
Funded Companies:
| Company name | Funding amount |
| The Chancellor, Masters and Scholars of the University of Oxford | €2,311,847 |
Source: https://cordis.europa.eu/project/id/101001212
The filing refers to a past date, and does not necessarily reflect the current state. The current state is available on the following page: Chancellor, Masters AND Scholars OF THE University, Oxford.
The visualizations for "The Chancellor, Masters and Scholars of the University of Oxford - EU funding (€2,311,847): Unsupervised Perception"
are provided by
North Data
and may be reused under the terms of the
Creative Commons CC-BY license.
