Research

Data Science Laboratory at SNU strives to perform innovative research on data-driven intelligence in emerging frontiers of engineering and science. The bases that span our research and development space can be characterized using four keywords: deep learning, artificial intelligence, intelligent memory/storage, and intelligent healthcare.

Research Topics

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Deep Learning

We are interested in innovative deep learning algorithms and applications for large-scale data analysis and data-driven learning that can deliver breakthrough performance.

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Artificial Intelligence

We are creating scalable and accurate artificial intelligence algorithms based on recent breakthroughs in deep learning, machine learning, data mining, and statistical/adaptive signal processing.

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Systems for Intelligence

We are developing technology solutions that can implement and accelerate our analytics engines with emphasis on intelligent memory/storage systems and massively parallel/distributed architectures.

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Intelligent Healthcare

We are aiming at discovering knowledge and wisdom in precision medicine, quantitative biology and genomics, and data-driven digital healthcare.

Funding & Sponsors

빅데이타연구원
sap
데이타솔루션
etri
bk21
kobic
삼정
건강보험심사평가원
sk
nrf
사이버경찰청
ict
보건복지부
lg
교육부
hyundai
산업통상자원부
samsung
funda