December 23, 2017

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

December 9, 2017

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

November 25, 2017

• Mini AI Hackathon

November 11, 2017

• 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)

October 28, 2017

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

October 14, 2017

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

September 30, 2017

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

September 16, 2017

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

September 2, 2017

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

August 19, 2017

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

August 5, 2017

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

July 22, 2017

• Bayesian Classification in Computer Vision (Dae-Yong, presentation)
• k-Means (Martin, presentation/github)
  • Common Lisp (Martin, source)
  • Python (Martin, source)

July 8, 2017

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

June 25, 2017

• Introduction to Quantum Computing (Adel, presentation)
• Probability basics (Cinyoung, jupyter notebook)
• Artificial Neural Networks (Martin, github)
  • Common Lisp (Martin, source)

June 10, 2017

• Spark introduction (HwangJohn, presentation)
• Practice - Topic Modeling (Cinyoung, github)
• Multinomial Naive Bayes Classifier (Martin, presentation)
  • Java (HwangJohn, source)
  • Common Lisp (Martin, source)

May 27, 2017

• T-Rex Runner (Martin, presentation)
  • Reinforcement Learning, Deep Q Learning, ConvnetJS, Dead Network, NaN Weights
• Hand Sign Recognition Using Hidden Markov Models (Cinyoung)

May 13, 2017

• 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)

April 30, 2017

• 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

April 22, 2017

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