AI and Life in 2030

Posted: October 25, 2016 in Moodle MOOC posts

A report on Artificial Intelligence published by University of Stanford in 2016 – https://ai100.stanford.edu/sites/default/files/ai100report10032016fnl_singles.pdf

List of ‘hot’ areas of current study (quoted, p.9):

  • Large-scale machine learning – algorithms to work with extremely large data sets.
  • Deep learning – has facilitated object recognition in images, video labeling, and activity recognition
  • Reinforcement learning –  experience-driven sequential decision-making
  • Robotics – train a robot to interact with the world around it
  • Computer vision – form of machine perception; automatic image and video captioning.
  • Natural Language Processing – systems that are able to interact with people through dialog; machine translation
  • Collaborative systems – autonomous systems that can work collaboratively with other systems and with humans
  • Crowdsourcing and human computation – make automated calls to human expertise
  • Algorithmic game theory and computational social choice draw – handle potentially misaligned incentives
  • Internet of Things (IoT) –  devices interconnected to collect and share their abundant sensory information
  • Neuromorphic – mimic biological neural networks
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