Artificial Intelligence - AI - research -industry - Europe - NAVER
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NAVER LABS EUROPE

NAVER LABS is an ambient intelligence technology company owned by NAVER Corporation, Korea’s leading internet content services company and one of the world’s most innovative companies.

NAVER LABS Europe is the biggest industrial research lab in artificial intelligence in France.

Our ambient intelligence vision

Ambient intelligence technology has an organic understanding of users and their contexts to provide meaningful and useful services at any time.

With a deep understanding of life and ambient intelligence technology, our world class research team is working towards creating a world where people can focus on what’s important to them without having to constantly learn new tools to do so.

Areas of application include machine translation, aspect based sentiment mining, news recommendations, semantic mapping of indoor and outdoor environments, 3D environment reconstruction, robot navigation, multimodal mobility and shopping services.

NAVER LABS Europe is part of NAVER LABS, an ambient intelligence technology company creating services that deeply understand users and their contexts.

LABS is part of NAVER Corporation, Korea’s leading internet company with annual revenue of more than 3 billion euros. NAVER LABS researchers, engineers and designers work on future technologies including autonomous driving, robotics and artificial intelligence. Since 2013 the LABS have led NAVER’s innovation in technology through products such as the AI-based translation app ‘Papago’, the omni-tasking web browser ‘Whale’, the virtual AI assistant ‘WAVE’, AMBIDEX, the biologically-inspired robotic arm, in-vehicle information entertainment system ‘AWAY’ and AROUND, the 3D indoor mapping robot.

The primary areas of research at NAVER LABS Europe are computer vision, natural language processing and machine learning and optimization. The technical expertise of the centre is enriched with the knowledge gathered from its ethnographers who develop a deep understanding of how people interact with technology to combine both human and machine elements. The work and the people at the centre are regularly recognized and awarded in international competitions and forums. Alongside its research and development the centre runs a global partner program where we take part in European Union and national R&D projects. NAVER LABS Europe is in Grenoble, France.

NAVER LABS Europe was previously the Xerox Research Centre Europe, created by Xerox in 1993. NAVER acquired the research centre in August 2017.

Read more about this change from Florent Perronnin, Director of Science and Engineering in the article NAVER LABS Europe, the start of something big and an invitation to come join us.

The centre was the first in the world to explore a number of technologies.

Starting in the 1990’s, its scientists were the first to mix paper and computer screens to form a ‘digital desk’ – one of the first steps towards augmented reality. At that time, we created the concept of meta-search engines that harness the power of multiple search engines and even automatically learn to query online databases. We laid the foundations for today’s ubiquitous computing, by exploring how mobile devices could share hyperlinks and how people could retrieve information on the basis of their context. We also created distributed computing systems and web service architectures which now form the underlying structure for how we do business in an online world. Our seminal methods for visual categorization and machine learning led to the world’s first commercial generic image categorizer.

PARTNERS

RESEARCH – EU/GOVT – BUSINESS – ENTREPRENEURS

Our partnerships range from long-term fundamental research to investment in products and services.

14 April 2020

ECIR 2020

14th - 17th April 2020
Paper: Learning to Rank Images with Cross-Modal Graph Convolutions
30 March 2020

EDBT/ICDT 2020 joint conference and co-located workshops

30th March - 2nd April 2020, Copenhagen, Denmark
Co-chairing ETMLP workshop at EBDT and presenting 'Culture-Aware POI Category Completion...' at DARLI AP 2020 workshop
4 March 2020

Julien Perez speaker at IDIAP, Martigny, Switzerland

4th March 2020
Julien Perez: Iterative Reasoning Path Retrieval for Multi-Hop Question Answering
29 January 2020

Announcing Virtual KITTI 2

New release of the popular synthetic image dataset for training and testing.
13 December 2019

Towards understanding human actions out of context with the Mimetics dataset

This article introduces our recent arxiv preprint on further understanding human actions out of context thanks to the newly introduced Mimetics dataset.
6 December 2019

Explainability Matters in Machine Learning Pipelines

Workshop on methods and measures for explainability and trustworthiness of machine learning pipelines