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Reliable and cost-effective large scale machine learning

Project description

Powering the brains behind the machine

Machine learning algorithms are the brains allowing machines to learn from data and make improvements automatically, and without any human interventions. Machines are imitating and adapting, offering solutions across many sectors – from security to healthcare and from manufacturing to marketing. But with data growing exponentially, machine learning needs to keep pace in terms of cost-effectiveness and reliability. Against this background, the EU-funded REAL project will extend the classical machine learning framework to provide algorithms that can guarantee reliable predictions with the minimum possible computational resources. This will be tested on key benchmarks from computer vision, natural language processing and bioinformatics.

Host institution

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
Net EU contribution
€ 1 498 830,00
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex
France

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Region
Ile-de-France Ile-de-France Yvelines
Activity type
Research Organisations
Other funding
€ 0,00

Beneficiaries (1)

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France
Net EU contribution
€ 1 498 830,00
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex

See on map

Region
Ile-de-France Ile-de-France Yvelines
Activity type
Research Organisations
Other funding
€ 0,00