Artificial

Intelligence

Group of professionals from different fields meets twice per month in the heart of Seoul to discuss about AI or implement various AI applications.

meetup.com

seoulai.slack.com

twitter.com

blog.seoulai.com

**Organizers**

Martin Kersner

Cinyoung Hur

Adel Sohbi

**Announcement**

Call for presenters!

**Content**

Presentations from 2017

- Evaluation of classification model for imbalanced dataset (Cinyoung, presentation)
- Knowledge Distillation (Martin, presentation)
- Seoul AI 2017 (presentation)

- Hive & Spark & Zeppelin: Useful tips for gathering different data sources (Cinyoung, presentation)
- Power of Prolog (Martin, presentation)
- AI and Blockchain (Raj & Ryan, presentation)

- Mini AI Hackathon

- NALBI - How we started AI company, What Computer Vision technology we are developing, …
- Linear Regression (part 2) (Martin, presentation/github)
- Introduction To Cryptocurrency Ecosystem (part 1) (Raj, presentation)

- Kaggle - Personalized Medicine (part 2) (Cinyoung, github)
- Linear Regression (part 1) - Ordinary Least Squares (Martin, presentation/Jupyter Notebook)

- Object Detection - part 2 (Dae-Yong, presentation)
- Kaggle - Personalized Medicine (part 1) (Cinyoung, github)

- Object Detection - part 1 (Dae-Yong, presentation)
- Trading Bitcoin and Online Time Series Prediction (Adel, presentation)

- Bayesian Regression (Cinyoung, presentation)
- Meta Learning (Martin, presentation/github)

- Introduction to Blockchain & Ethereum (Raj, presentation pdf/pptx)
- Pitching idea for Nexar challenge plus lane detection using DL (Renaud & Han Bin, presentation)

- Non Technical Overview of Deep Learning (Han Bin, presentation)
- Lock-less SGD (Renaud, presentation)

- Kalman Filter (Zaur, presentation)
- Recurrent Neural Networks (Martin, presentation/github)
- Sum Two Binary Numbers Using RNN (Martin, Jupyter Notebook)

- Bayesian Classification in Computer Vision (Dae-Yong, presentation)
- k-Means (Martin, presentation/github)

- Automatic Viewpoint Selection on 360° Videos (Dae-Yong, presentation)
- Autoencoders (Martin, presentation/github)

- Introduction to Quantum Computing (Adel, presentation)
- Probability basics (Cinyoung, jupyter notebook)
- Artificial Neural Networks (Martin, github)

- Spark introduction (HwangJohn, presentation)
- Practice - Topic Modeling (Cinyoung, github)
- Multinomial Naive Bayes Classifier (Martin, presentation)

- T-Rex Runner (Martin, presentation)
- Reinforcement Learning, Deep Q Learning, ConvnetJS, Dead Network, NaN Weights

- Hand Sign Recognition Using Hidden Markov Models (Cinyoung)

- T-Rex Runner (Martin, presentation)
- Genetic Algorithm, Reinforcement Learning, Neural Networks

- Presentation of The Expression of Emotions in 20th Century Books (Adel, paper)
- Emotions, Fear, Language Behavior, Culture, Statistical data, Cultural evolution

- Harmonic Search (Victor)

- Sudoku solver (Cinyoung, presentation)
- Constraint Propagation, Search, Elimination, Naked Twins

- Image Segmentation Using Genetic Algorithm (Martin, github)
- Problem Encoding, Evaluation Of Fitness, Selection, Crossover, Mutation, Algorithm Evaluation

Meeting for the first time. Discussing what direction meetup will evolve.