GMIC AI Open Class
April 28, 29 2017
National Convention Center, Beijing, China
  1. AI Talk
    Listen to talks from Silicon Valley AI leaders.
  2. AI Workshop
    Learn and practice to become the next AI expert.
  1. Title 1
    Title 1
  2. Title 2
    Title 2
  3. Title 3
    Title 3
  4. Title 4
    Title 4
  5. Title 5
    Title 5
  6. Title 6
    Title 6
Speakers
  1. Tom Mitchell
    Tom Mitchell
  2. Mark J. Nitzberg
    Mark J. Nitzberg
  1. Hongjiang Zhang
    Hongjiang Zhang
  2. Yoav Shoham
    Yoav Shoham
Mark J. Nitzberg
Executive Director of Center for Human-Compatible AI (CHAI) at UC Berkeley
Tom Mitchell
Founding Director of ML Department at CMU   
Hongjiang Zhang
AI Scientist, Ex-CEO of Kingsoft
Yoav Shoham
Professor at Stanford, Ex-Principal Scientist at Google
  1. Ling Zong -Research Scientist at IBM
    Ling Zong -Research Scientist at IBM
  2. Apoorv Saxena
    Apoorv Saxena
  1. Hassan Sawaf -Director of AI at Amazon AWS
    Hassan Sawaf -Director of AI at Amazon AWS
  2. Hui Xiong -ACM Distinguished Scientist
    Hui Xiong -ACM Distinguished Scientist
Apoorv Saxena
Senior Manager at Google Cloud ML
Ling Zong
Research Scientist at IBM
Hassan Sawaf
Director of AI at Amazon AWS
Hui Xiong
ACM Distinguished Scientist
  1. Richard Mallah
    Richard Mallah
  2. Adrian Kaehler
    Adrian Kaehler
  1. Jason Dai -CTO, Big Data Technologies at Intel Corporation
    Jason Dai -CTO, Big Data Technologies at Intel Corporation
  2. Michael Tsang
    Michael Tsang
Jason Dai
Sr. Principal Engineer and CTO, Big Data Technologies at Intel
Michael Tsang
Regional GM at Alibaba Cloud
    Richard Mallah    
Director of AI Projects, Future of Life Institute 
    Andrian Kaehler    
Author: Learning OpenCV and Learning OpenCV3
   
  1. Jason Geng -CEO at Data Application Lab
    Jason Geng -CEO at Data Application Lab
  2. Jingfang Xu
    Jingfang Xu
  1. Ray-Hon Sun -ML Researcher at Stanford, Head of Data Science at Banter
    Ray-Hon Sun -ML Researcher at Stanford, Head of Data Science at Banter
  2. Longbing Cao
    Longbing Cao
Jingfang Xu
Chief Research Scientist at Sogou
Jason Geng
Founder and CEO at Data Application Lab
Ray-Hon Sun
ML Researcher at Stanford, Head of Data Science at Banter
Longbing Cao
Professor, University of Technology Sydney
  1. Greg Makowski -Director of Data Science at LigaData
    Greg Makowski -Director of Data Science at LigaData
  2. Raul Puri -Deep Learning Researcher, Educator at UC Berkeley)
    Raul Puri -Deep Learning Researcher, Educator at UC Berkeley)
  1. Lianfa Li
    Lianfa Li
  2. David Yang
    David Yang
    Greg Makowski    
Director of Data Science at LigaData
Raul Puri
Deep Learning Researcher, Educator at UC Berkeley
    Lianfa Li   
Lianfa Li, Lead Research Scientist at University of Southern California
David Yang
Principal Data Science at Bayessoft
  1. AI Talk
    4-28
    Room: Function B (1st Floor)
    Session 1: Human-Compatible AI
    ​Session 2: Natural Language Processing and Conversational AI
    ​Session 3: Applied AI
    ​Session 4: Computer Vision/Cloud Service
    ​Session 5: Data Science/Cognitive Learning
Agenda
8:30-9:20
Registration
Welcome Speech
9:20-9:30
Tom Mitchell 
-Founding Director of ML Department at CMU
9:30-9:555
Open Class: Machine Learning from Conversations: Making Every Person a Programmer     
10:00-10:25
Open Class: Why Knowledge Representation Matters       
 Yoav Shoham
-Professor at Stanford, Ex-Principal Scientist at Google

Open Class: The Life Cycle of Data Science Project
10:30-10:55
Jason Geng
​-Founder and CEO at Data Application Lab


Session 1: Human-Compatible AI
11:00-11:25
Open Class: Challenges and Progress in Assessing Problem of Making AI Human-Compatible
Mark J. Nitzberg
​-Executive Director of Center for Human-Compatible AI (CHAI) at UC Berkeley

   

11:30-11:55
Open Class: The Landscape of AI Safety and Beneficence Research
Richard Mallah
​-Director of AI Projects, Future of Life Institute 

   

Break
12:00-13:20
13:20-13:30
Afternoon Welcome Speech     
13:30-13:55
Open Class: The Comparision of AI Between US and China
Hongjiang Zhang
-AI Scientist, Ex-CEO of Kingsoft
Session 2: Natural Language Processing and Conversational AI
14:00-14:25
Open Class: From Chatbots to NLU     
 Ray Sun
- ML Researcher at Stanford, Head of Data Science at Banter

Open Class: From Search Engine to Conversational AI       
 Jingfang Xu
- Chief Search Engine Scientist at Sougou
14:30-14:55
Session 3: Applied AI
15:00-15:25
Open Class: Applications of AI at Google       
Apoorv Saxena
- Senior Manager at Google Cloud ML    

Jason Dai 
-Sr. Principal Engineer and CTO, Big Data Technologies at Intel
Open Class: Deep Learning-Powered Big Data Analytics         
15:30-15:55
Session 4: Computer Vision and Cloud Service
16:00-16:25
Open Class: Keypoints Technique in OpenCV 3.0        
 Adrian Kaehler
-Author: Learning OpenCV and Learning OpenCV3

Open Class: AI and Cloud Service    
16:30-16:55
 Michael Tsang
-Regional GM at Alibaba Cloud 

Session 5: Cognitive Computing
Open Class: IBM Cognitive Computing and AI        
Ling Zong
-Research Scientist at IBM    

17:00-17:25
  1. AI Workshop
    4-29
    Room: 307A, 307B, 311A, 311B
    Tutorial #1 TensorFlow
    Tutorial #2 MXNet
    Tutorial #3 Big Data Storage
    Tutorial #4 Behavior Analytics 
    Tutorial #5 Big Data Analytics in Business Environments
    Tutorial #6 Data Science in R 
    Tutorial #7 Recommender Engines
    Tutorial #8 Natural Language Processing
Tutorial  #1 TensorFlow 

Tutorial  #2 MXnet
Instructor:Raul Puri, Deep Learning Researcher, Educator at UC Berkeley
Prerequisites: Laptop

Time: 9:00-13:00 
Room: 307A 

  • Pattern Recognition
  • Neural Networks Fundamentals using TensorFlow as Example
  • TensorFlow for Image Recognition
    
Instructor:Lianfa Li, Lianfa Li, Lead Research Scientist at University of Southern California
Prerequisites: Laptop

Time: 14:00-18:00 
Room: 307A 

  • Train your first neural network in five minutes
  • Use MXNet for Handwritten Digits Classification
  • Competition Classify real world images using state-of-art deep learning models.
    
Tutorial  #3 Big Data Storage
Tutorial  #4 Big Data Analytics in Business Environments 
Instructor: Ling Zong, Research Scientist at IBM
Prerequisites: N/A

Time: 9:00-13:00 
Room: 307B 
   
  • Big Data Storage Difficulties
  • Big Data Storage Bottleneck
  • Big Data Storage Plan
    
    
Instructor: Hui Xiong ACM Distinguished Scientist 
Prerequisites: N/A

Time: 14:00-18:00 
Room: 307B

  • Data mining problem formulation
  • Data pre-processing and post-processing
  • Adaption of computational models
    

Tutorial  #6 Predictive Data Science in R
Tutorial  #5 Behavior Analytics 
Instructor: Longbing Cao, Professor in Information Technology at the University of Technology Sydney
Prerequisites: N/A

Time: 9:00-13:00 
Room: 311A 

  • Introduction to behavior representation
  • Behavior modeling and representation
  • High impact behavior analysis
  • Group behavior analysis
  • Non-occurring behavior analysis
Instructor:Greg Makowski,Director of Data Science at LigaData
Prerequisites: Laptop, R Studio

Time: 14:00-18:00 
Room: 311A 

  • Design of projects to be accurate, general and understandible
  • Preprocessing the input data with heuristics and knowledge representation
  • Load a loan data set, train models. Use the caret library as an interface to 233 predictive algorithms, including xgboost
Tutorial  #8 Natural Language Processing
Tutorial  #7 Recommender Engine
Instructor:Ray-Hon Sun, ML Researcher at Stanford, Head of Data Science at Banter
Prerequisites: Laptop

Time: 14:00-18:00 
Room: 311B
   
  • NLP Tasks and Text Similarity
  • Tools in building AI-based messaging systems
  • Syntax and Parsing
  • Part of Speech Tagging and Information Extraction
  • Sentiment Analysis and Semantics
    
Instructor:David Yang Director of Data Science at Smule
Prerequisites: Laptop

Time: 9:00-13:00 
Room: 311B 

  • Why personalized service and how recommenders can help?
  • Mainstream recommenders: content-based, collaborative filtering and hybrid
  • Recent developments via deep neural networks
    
GMIC 2017 Beijing Conference
GMIC 2017 Beijing Conference will be held from April 27 – May 1 at the National Convention Center and Beijing National Stadium (Bird Nest). The conference will consist of more than 30 forums covering Artificial Intelligence, Entertainment, AR / VR, Business and Finance Technology, Healthcare, Investment, Design and Education.    

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