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CHAPTER


                  The New AI: Basic

                  Concepts, and Urgent                                       8

                  Risks and Opportunities in

                  the Internet of Things



                                                                        Paul J. Werbos
                      US National Science Foundation, retired, and IntControl LLC, Arlington, VA, United States


                  CHAPTER OUTLINE
                  1. Introduction and Overview ..................................................................................162
                    1.1 Deep Learning and Neural Networks Before 2009e11 ........................... 162
                    1.2 The Deep Learning Cultural Revolution and New Opportunities ............... 162
                    1.3 Need and Opportunity for a Deep Learning Revolution in Neuroscience.... 163
                    1.4 Risks of Human Extinction, Need for New Paradigm for
                        Internet of Things................................................................................ 164
                  2. Brief History and Foundations of the Deep Learning Revolution .............................164
                    2.1 Overview of the Current Landscape ....................................................... 164
                    2.2 How the Deep Revolution Actually Happened......................................... 167
                    2.3 Backpropagation: The Foundation Which Made This Possible.................. 168
                    2.4 CoNNs, >3 Layers, and Autoencoders: The Three Main Tools of
                        Today’s Deep Learning......................................................................... 170
                  3. From RNNs to Mouse-Level Computational Intelligence: Next Big Things
                    and Beyond........................................................................................................172
                    3.1 Two Types of Recurrent Neural Network ................................................ 172
                    3.2 Deep Versus Broad: A Few Practical Issues............................................ 175
                    3.3 Roadmap for Mouse-Level Computational Intelligence (MLCI) ................. 176
                    3.4 Emerging New Hardware to Enhance Capability by Orders of Magnitude... 176
                  4. Need for New Directions in Understanding Brain and Mind ...................................178
                    4.1 Toward a Cultural Revolution in Hard Neuroscience ............................... 179
                    4.2 From Mouse Brain to Human Mind: Personal Views of the
                        Larger Picture..................................................................................... 182
                  5. Information Technology (IT) for Human Survival: An Urgent Unmet Challenge ........184
                    5.1 Examples of the Threat from Artificial Stupidity ..................................... 185
                    5.2 Cyber and EMP Threats to the Power Grid ............................................. 185
                    5.3 Threats From Underemployment of Humans .......................................... 186
                    5.4 Preliminary Vision of the Overall Problem, and of the Way out................. 187
                  References .............................................................................................................188

                                                                                        161
                  Artificial Intelligence in the Age of Neural Networks and Brain Computing. https://doi.org/10.1016/B978-0-12-815480-9.00008-6
                  Copyright © 2019 Elsevier Inc. All rights reserved.
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