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Artificial Intelligence and Machine Learning

1 Artificial Intelligence and Machine LearningVijay GadepallyJeremy Kepner, Lauren Milechin, Siddharth SamsiDISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited. This material is based upon work supported by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Under Secretary of Defense for Research and Engineering. 2020 Massachusetts Institute of Technology. Delivered to the Government with Unlimited Rights, as defined in DFARS Part or 7014 (Feb 2014). Notwithstanding any copyright notice, Government rights in this work are defined by DFARS or DFARS as detailed above. Use of this work other than as specifically authorized by the Government may violate any copyrights that exist in this contributions from: Siddharth Samsi, Albert Reuther, Jeremy Kepner, David Martinez, Lauren MilechinAI and ML - 2 VNG 010720 Outline Artificial Intelligence Overview Machine Learning Deep Dives Supervised Learning Unsupervised Learning Reinforcement Learning Conclusions/Summary2AI and ML - 3 VNG 010720 What is Artificial Intelligence ?

Learning Abstracting Reasoning Perceiving Learning Abstracting Reasoning Perceiving Learning Abstracting Reasoning Perceiving Learning Abstracting Reasoning Statistical Learning Lots of data enabled non-expert systems Adding context to AI systems Ability of system to abstract VNG 01 0720 Spectrum of Commercial Organizations in the Machine ...

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