Research
데이터 사이언스와 인공지능 분야의 연구
Research Areas
SuanLab focuses on various research areas in data science and AI
Data Science & Big Data
데이터과학 & 빅데이터
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
Deep Learning & Machine Learning
딥러닝 & 머신러닝
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning.
Natural Language Processing
자연어처리
Natural language processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language.
Computer Vision
컴퓨터 비전
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.
Graphs and Tensors
그래프 & 텐서
A graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within mathematics.
Spatio-Temporal
시공간 데이터
Spatiotemporal analysis deals with data that has both spatial and temporal components, enabling understanding of phenomena across space and time.
Audio & Speech Processing
오디오 음성 처리
Audio and speech processing involves the analysis, synthesis, and recognition of audio signals and human speech using deep learning and signal processing techniques.