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Scalable Intelligent Systems by 2025

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A project to build the technology stack outlined in this seminar can bring Scalable Intelligent Systems to fruition by 2025. Scalable Intelligent Systems have the following characteristics: Interactively acquire information from video, Web pages, hologlasses, online data bases, sensors, articles, human speech and gestures, etc.; Real-time integration of massive pervasively inconsistent information; Scalability in all important dimensions meaning that there are no hard barriers to continual improvement in the above areas; Close human collaboration with hologlasses for secure mobile interaction. Computers alone cannot implement the above capabilities; No closed-form algorithmic solution is possible to implement the above capabilities. For example, pain management could greatly benefit from Scalable Intelligent Systems. Complexities of dealing with pain have led to the current opioid crisis. It’s now become routine for providers to check the state databases to see if there’s multi-sourcing — getting prescriptions from other providers. Providers are also now supposed to use urine drug screenings and, if there are unusual results, to do a confirmation. Pain management requires much more than just prescribing opioids, which are often critical for short-term and less often longer-term use. [Coker 2015; Friedberg 2012; Holt 2017; Marchant 2017; McKinney 2015; Spiegel 2018; Tedesco, et. al. 2017; White 2017] Organizational aspects play an important role in pain management. [Fagerhaugh and Strauss 1977].

More details at: https://blogs.cs.st-andrews.ac.uk/csblog/2018/10/04/dls-scalable-intelligent-systems-carl-hewitt/

This talk is part of the Computer Laboratory Wednesday Seminars series.

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