Silicon Valley Engineering Council (SVEC) Open House – Modern Robot Psychology

Silicon Valley Engineering Council (SVEC) Open House – Modern Robot Psychology
Thursday, November 14, 2019, 5:00PM – 8:30 PM PDT. The event is FREE.
Warm delicious food (no pizza or sandwiches) & drinks will be provided

IEEE CS (IEEE Computer Society) is sponsoring this event because IEEE CS chapter of Silicon Valley is a member of SVEC along with all other co-sponsoring organizations listed below

This Open House event is organized by:
Silicon Valley Engineering Council www.svec.org in benefit of all its members

Sponsored by our member organizations:

  • IEEE CS (IEEE Computer Society)
  • ASCE (American Society of Civil Engineers)
  • IEEE SSCS (IEEE Solid State Circuit Society)
  • IEEE CIS (IEEE Computational Intelligence Society
  • SWE East Bay chapter
  • ASME (American Society of Mechanical Engineers)
  • ASMI (Santa Clara Valley Chapter, ASM International)
  • EAA (Electric Auto Association)
  • NorthCal AIChE  (Leading organization of Chemical Engineering Professionals)

Speaker: Eric Saund
Research Scientist
Keynote Topic: Modern Robot Psychology

Location: SEMI at 673 South Milpitas Boulevard Milpitas, CA 95035-5446 (View Map)

                                                   (Register here)

PROGRAM:

    • 5:00PM to 5:30PM – Welcome Reception & Mixer
    • 5:30PM to 6:00PM – Welcoming Remarks
    • 6:00PM to 6:15PM – Acknowledgement of Sponsors
    • 6:15PM to 7:15PM – Keynote
    • 7:15PM to 7:25PM – ASCE (American Society of Civil Engineers)
    • 7:25PM to 7:35PM – Call for Applications for 2020 Scholarships
    • 7:35PM to 7:45PM – Keeper of the Flame
    • 7:45PM to 7:55PM – Discover “E” Outreach
    • 7:55PM to 8:05PM – 2020 Silicon Valley Engineering Hall of Fame Inductees Announcement
    • 8:05M to 8:15PM – Invite to SVEC Engineers Week Banquet, February 19, 2020 at DoubleTree Hotel in San Jose, CA
    • 8:15PM to 8:25PM – Q&A
    • 8:25PM to 8:30PM – Closing

Abstract:
Can you diagnose and fix your car?  Can you reboot your router?
We get along with technology better when we have some operational understanding
of how it works.  As we an approach an age when robots and other artificially
intelligent agents surround us, we must expand our mental models of machines to
include those that display autonomous goal-directed behaviors and even evoke
notions of intentionality.  As a case in point, today’s Conversational Agents
are simultaneously very smart, and very dumb.  This talk will review the
Natural Language Processing and knowledge modeling technologies that give
Alexa and Google Home remarkable and engaging question answering and chat
abilities.  I will offer some fun tips on how to reverse-engineer how these
devices “think”.

Bio:

Eric Saund is a research scientist, developer, and consultant whose work spans multiple fields of intelligent systems, including conversational agents, document analytics, perceptually supported user interfaces, machine learning, and computational vision. Eric received a B.S. from Caltech and a Ph.D. in Cognitive Science from MIT.  He served in research and research management roles at the Xerox Palo Alto Research Center, he has published widely, his prototypes have served thousands of users, and he has been awarded 60 patents to date.

Open to all to attend
(Online registration is needed. If you did not register, seating is not guaranteed.)

Call for volunteers for this event:
If you are interested in volunteering at our SVEC Open House email us Here.

 

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Anthropomorphic Machine Learning: How to get Fast, Interpretable Deep Learning

Anthropomorphic Machine Learning: How to get Fast, Interpretable Deep Learning

December 11 @ 5:30 pm – 8:30 pm PST at Intel SC9 Auditorium, 2250 Mission College Blvd, Santa Clara, CA 95054 United States + Google Map

Speaker: Prof Plamen Angelov, PhD, DSc, FIEEE from School of Computing and Communications, Lancaster University, UK and Vice President-International Neural Network Society.

Registration Link:

https://www.eventbrite.com/e/anthropomorphic-machine-learninghow-to-get-fastinterpretable-deep-learnin-tickets-76396525063?aff=IEEECIS

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