AI and Life in 2030

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