Seite - 70 - in Künstliche Intelligenz - Technologie | Anwendung | Gesellschaft

70 A Technologie Literatur Amershi, Saleema; Cakmak, Maya; Knox, W. Bradley; Kulesza, Todd (2014): Power to the People. The Role of Humans in Interactive Machine Learning. In: AI Magazine. Online verfügbar unter https://www.microsoft.com/en-us/research/publication/power-to-the- people-the-role-of-humans-in-interactive-machine-learning/. Zuletzt geprüft am 23.02.2018. Amodei, Dario; Anubhai, Rishita; Battenberg, Eric; Case, Carl; Casper, Jared; Catanzaro, Bryan et al.: Deep Speech 2. End-to-End Speech Recognition in English and Mandarin. Online verfügbar unter http://arxiv.org/pdf/1512.02595v1. Zuletzt geprüft am 23.02.2018. Campbell, Murray; Hoane, A.Joseph; Hsu, Feng-hsiung (2002): Deep Blue. In: Artificial Intelligence 134 (1-2), S. 57–83. DOI: 10.1016/S0004-3702(01)00129-1. Carter, Shan; Nielsen, Michael (2017): Using Artificial Intelligence to Augment Human Intelligence. In: Distill 2 (12). DOI: 10.23915/distill.00009. DARPA: Explainable Artificial Intelligence (XAI). Online verfügbar unter https://www.darpa. mil/program/explainable-artificial-intelligence, zuletzt geprüft am 23.02.2018. Endert, A.; Ribarsky, W.; Turkay, C.; Wong, B. WilliamL.; Nabney, I.; Blanco, I. Díaz; Rossi, F. (2017): The State of the Art in Integrating Machine Learning into Visual Analytics. In: Computer Graphics Forum 36 (8), S. 458–486. DOI: 10.1111/cgf.13092. Engelbart, Douglas Carl (1962): Augmenting Human Intellect: A Conceptual Framework. He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian: Deep Residual Learning for Image Recognition. Online verfügbar unter http://arxiv.org/pdf/1512.03385v1. Zuletzt geprüft am 23.02.2018. Hirschberg, Julia; Manning, Christopher D. (2015): Advances in natural language processing. In: Science (New York, N.Y.) 349 (6245), S. 261–266. DOI: 10.1126/science.aaa8685. Howard, Jeremy (2014): The wonderful and terrifying implications of computers that can learn. Online verfügbar unter https://www.ted.com/talks/jeremy_howard_the_wonderful_ and_terrifying_implications_of_computers_that_can_learn?language=en, zuletzt geprüft am 23.02.2018. IBM: Response to – Request for Information Preparing for the Future of Artificial Intelligence. IBM. Online verfügbar unter https://www.research.ibm.com/cognitive-computing/ostp/ rfi-response.shtml, zuletzt geprüft am 23.02.2018. Mnih, Volodymyr; Badia, Adrià Puigdomènech; Mirza, Mehdi; Graves, Alex; Lillicrap, Timothy P.; Harley, Tim et al.: Asynchronous Methods for Deep Reinforcement Learning. Online verfügbar unter http://arxiv.org/pdf/1602.01783v2, zuletzt geprüft am 23.02.2018. Nielsen, Michael (2016): Thought as a Technology. Online verfügbar unter http://cogniti- vemedium.com/tat/, zuletzt geprüft am 23.02.2018.