aocsa / realai.org

title	permalink	mathjax
Welcome to Real AI	/	true

What's New

• 2017 May 11, Wang Ling, Dani Yogatama, Chris Dyer, and Phil Blunsom. Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. arXiv:1705.04146. (DeepMind; Program Induction)
• 2017 May 4. Members on Amazon's AI team gave estimates on AGI timing of around 2027. Source: Twitter. This item will be retracted when the twitter link expires. (Timing)
• 2017 April 30, Research staff at MIRI assigned moderately higher probability to AGI’s being developed before 2035 than they did a year or two ago. Source: 2017 Updates and Strategy. Machine Intelligence Research Institute. (Timing; MIRI)
• 2017 April 22. With Neuralink, Elon Musk Promises Human-to-Human Telepathy. Don’t Believe It.. MIT Technology Review. (News)
• 2017 April 18, Jürgen Schmidhuber says artificial intelligence will surpass humans’ in 2050. Source: Jürgen Schmidhuber on the robot future: ‘They will pay as much attention to us as we do to ants'. The Guardian. (Timing)
• 2017 April 15, Audrunas Gruslys, Mohammad Gheshlaghi Azar, Marc G. Bellemare, and Remi Munos. The Reactor: A Sample-Efficient Actor-Critic Architecture. arXiv:1704.04651. (DeepMind; RL Algorithms)

What's Next

• 2017 May 19. NIPS 2017 paper submission deadline. (Call for Papers)
• 2017 May 23-27. The Future of Go Summit will be held in Wuzhen, China. (DeepMind Blog)

Main Contents

1. Introduction

2. AI and Society

   1. Safety
      1. Blog: Towards Safe and Beneficial Intelligence
      2. Effective Altruism
      3. Research Groups
   2. Impacts
   3. Progress
   4. Roadmaps
   5. Timing
   6. Policies

3. Philosophy of Intelligence

4. Research

   1. Learning Objectives
      1. Unsupervised Learning:
         • Intrinsic Motivation
           • Predictive Learning
      2. Multi-Task Learning: Continual Learning, Transfer Learning
      3. Hierarchical Learning: Concept Learning
      4. Meta-Learning: Few-Shot Learning
   2. Learning Outcomes
      1. Symbol Grounding
      2. World Model
      3. Reasoning
      4. Attention
      5. Memory
   3. Deep Learning
      1. Network Architecture
         • Architecture Search
         • Multi-Agent Learning
         • Memory Augmented Neural Networks
      2. Learning Rules
      3. Adversarial Learning
      4. Generative Models
   4. Reinforcement Learning
      1. Model-Free Algorithms
      2. Planning
      3. Intrinsic Motivation
         • Prediction
         • Exploration
         • Empowerment
      4. Auxiliary Tasks
      5. Imitation Learning
      6. Platforms
   5. Neuroscience
   6. Frontiers
   7. Experiments
      1. Vision
      2. Language: Program Induction
      3. Robotics: Autonomous Driving
      4. Games
      5. Automated Theorem Proving
   8. Theory
      1. Deep Learning Theory
   9. Implementation
      1. Deep Learning Implementation

5. Applications

6. Conclusion

Apendix

1. Research Groups

   1. DeepMind: Publications
   2. Google Brain: Publications
   3. OpenAI: Publications
   4. FAIR: Publications
   5. Vector Institute

2. Companies

   1. Alphabet
   2. Facebook
   3. Amazon.com
   4. Apple
   5. Microsoft
   6. NVIDIA Corporation

3. Global Macro

4. News (2017)

   1. Past Years: 2016, 2015, 2014, 2013, 2012
   2. Markets

5. Resources (Blogs; Links)

   1. Curriculum
   2. Conferences
   3. Demos
   4. Open Source Projects
   5. For Fun

6. About Real AI