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SUMMARY:Scalable Intelligent Systems by 2025 - Carl Hewitt - Emeritus Prof
 essor at MIT
DTSTART:20181107T161500Z
DTEND:20181107T170000Z
UID:TALK113071@talks.cam.ac.uk
CONTACT:jo de bono
DESCRIPTION:A project to build the technology stack outlined in this semin
 ar can bring Scalable Intelligent Systems to fruition by 2025. Scalable In
 telligent Systems have the following characteristics: Interactively acquir
 e information from video\, Web pages\, hologlasses\, online data bases\, s
 ensors\, articles\, human speech and gestures\, etc.\; Real-time integrati
 on of massive pervasively inconsistent information\; Scalability in all im
 portant dimensions meaning that there are no hard barriers to continual im
 provement in the above areas\; Close human collaboration with hologlasses 
 for secure mobile interaction.\nComputers alone cannot implement the above
  capabilities\; No closed-form algorithmic solution is possible to impleme
 nt the above capabilities. For example\, pain management could greatly ben
 efit from Scalable Intelligent Systems. Complexities of dealing with pain 
 have led to the current opioid crisis.  It’s now become routine for prov
 iders to check the state databases to see if there’s multi-sourcing — 
 getting prescriptions from other providers. Providers are also now suppose
 d 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-te
 rm use. [Coker 2015\; Friedberg 2012\; Holt 2017\; Marchant 2017\; McKinne
 y 2015\; Spiegel 2018\; Tedesco\, et. al. 2017\; White 2017] Organizationa
 l aspects play an important role in pain management. [Fagerhaugh and Strau
 ss 1977].\n\nMore details at:\nhttps://blogs.cs.st-andrews.ac.uk/csblog/20
 18/10/04/dls-scalable-intelligent-systems-carl-hewitt/\n
LOCATION:Lecture Theatre 2\, Computer Laboratory
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