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Artificial Intelligence, Machine Learning, and Virtual Reality |
Sunday, May 27, 2018 |
9:00 AM–9:50 AM |
Marriott Marquis, Grand Ballroom 10-13 |
Area: PCH/CSS; Domain: Translational |
Chair: Andres Chavez (BehaviorMe, Inc.) |
PAUL THOMAS ANDRONIS (Northern Michigan University) |
T. V. JOE LAYNG (ChangePartner, Inc.) |
ABBY LEWIS (Columbia Teachers College) |
Abstract: According to Gartner research, 5.5 million new devices will connect every day this year and contribute to the Internet of Things (IoT). An estimated 6.4 billion IoT devices were expected to be used globally in 2016 alone. With forecast estimates of up to 20.8 billion IoT devices by 2020, analytics and data science professionals will need new and improved tools to explore and make sense of these massive datasets. Similarly, Goldman Sachs reports that VR software development for healthcare alone is set to reach revenues of approximately $5.1 billion by 2025 and market adaptability set to begin at the enterprise level. Two areas that will be of importance to the world, and arguably the future of behavior analysis, are artificial intelligence and machine learning. Behavioral Science can contribute immensely towards these areas given our reliance on a coherent and systematic approach to philosophy, theory, experimental analysis, and practical applications to real-world issues. This panel seeks to address the potential avenues to pursue this future. The presenters will discuss their personal views and promising avenues for pursuit. Following will be an open discussion with attendees on inviting other perspectives and future directions and implications for the scientist-practitioner. |
Instruction Level: Basic |
Keyword(s): Artificial Intelligence, Machine Learning, Technology, Virtual Reality |
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