Artificial Intelligence - AI - research -industry - Europe - NAVER
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Creating new connections by advancing technology

NAVER LABS is the R&D subsidiary of NAVER, Korea’s leading internet company, responsible for future technology.
Its world class researchers in Korea and Europe create new connections between people, machines, spaces and information by advancing technology in AI, robotics, autonomous driving, 3D/HD mapping and AR.


NAVER LABS Europe is the biggest industrial research lab in artificial intelligence in France and a hub of NAVER’s global AI R&D Belt, a network of centres of excellence in Korea, Japan, Vietnam & Europe.

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, creating future technology at NAVER, a global innovator and Korea’s leading internet companys.

LABS is part of NAVER Corporation, Korea’s leading internet company with annual revenue of more than 4.7 billion euros. NAVER LABS researchers, engineers and designers work on future technologies including robotics, autonomous driving 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.



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

17 January 2021

ALPS – Advanced Language Processing winter school in the French Alps

17th -  22nd January 2021, Autrans, France Co-organized by LIG (University Grenoble Alpes) and NAVER LABS Europe, ALPS
22 September 2020

3rd Robot Learning Workshop: Grounding Machine Learning Development in the Real World

Friday, 11th December 2020 @NeurIPS 2020 workshop on robot learning - machine learning for the physical world. NAVER LABS Europe co-organizer.
22 September 2020
RecSys 2020

14th ACM Conference on Recommender Systems (RecSys 2020)

22nd - 26th September 2020
Papers we're presenting at this year's conference. NAVER and NAVER LABS Europe are Gold sponsors of RecSys 2020.  
24 August 2020
Learning Visual Representations with Caption Annotations

Learning Visual Representations with Caption Annotations

How mid-size sets of captioned images can rival with large-scale labelled image sets to learn generic representations
21 August 2020
Dope featured image

DOPE: distillation of part experts for whole-body 3D pose estimation in the wild

A novel efficient model for whole-body 3D pose estimation (including bodies, hands and faces), that is trained by mimicking the output of hand-, body- and face-pose experts.
4 August 2020

FORCE enables extreme pruning of artificial neural networks at initialization.

A new method called FORCE achieves extreme sparsity in artificial neural networks by progressively removing up to 99.9% of parameters at initialization, making it a promising candidate for training networks on edge devices (like drones or smartphones).
NAVER FRANCE Gender Equality Index for the year 2019  is 93/100


L’index Egalité Femmes-Hommes de NAVER FRANCE au titre de l’année 2019 est de 93/100