[Critical IT Scene] Naver Builds Deep Learning Training Data Center
Published2017.06.07 09:45Expected to secure unparalleled competitive advantage in AI service fields such as autonomous driving, shopping search, and object recognition
Naver is expanding deep learning technology development to secure market leadership in artificial intelligence services.
Naver (CEO Han Seong-suk) announced that by the end of June, it will establish a deep learning training data center that integrates source data, learning algorithms, usage methods, and service application results necessary for deep learning of various types of data such as videos and images.
Once the deep learning training data center is established, it will be possible to enhance research utilization across related departments and strengthen competitiveness in AI service development. Accordingly, Naver plans to broaden external exchanges for market growth and technology improvement in order to expand various AI services such as 'autonomous driving,' 'shopping search,' and 'object recognition' where deep learning technology is applied.
Naver has been implementing a separate TF project to integrate big data and AI technology accumulated through search services and apply them to various user services. The deep learning training data center is expected to accumulate not only search term information based on text input, but also various forms of search input information such as voice, images, and videos, along with corresponding trained background data in a database.
For example, in autonomous vehicle driving, the data center provides data that can recognize object images in the surrounding environment and proactively address risk factors. Additionally, when searching by image of a specific person, deep learning training technology is applied to optimally classify segmented big data such as gender, age, race, and facial expression of the person, enabling the provision of response information that best matches the user's search request.
Leading future-type technology platform ecosystem construction through deep learning technology sharing and various technical collaborations
The department dedicated to building Naver's training data is analyzing hundreds of thousands of materials related to road conditions, facial recognition, shopping, and other areas to construct learning data in order to increase the accuracy of information matching technology. Through this, it aims to increase the accuracy of machine learning results to nearly 100%. In particular, it expects to deliver high user satisfaction when providing AI technology-applied services such as autonomous driving, facial recognition, shopping search, and location-based travel search.
Naver also held a search colloquium in April to disclose AI technology applied to search for next-generation AI experts. Kim Gwang-hyun, Naver Search Leader, said, "This construction of the deep learning big data center is a result of consolidating Naver's distinctive capabilities as an AI technology-leading company based on unique search data," and added, "We will not only strengthen the competitiveness of user AI services in various environments, but will also lead the construction of a new technology platform ecosystem through external collaborations with research institutions."
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