What do we need to understand in order to develop the human/machine interface of the future? What’s happening in computing when Artificial Intelligence doesn’t seem artificial anymore? Will the smartphone be smarter than we are?

In order to understand the profound changes taking place in the world of Cognitive Computing, NFIC 2016 will focus two interactive panel sessions led by recognized academic and industry experts, to discuss the key issues facing cognition and computing. The opening panel will cover where we are in processor architecture, language development and visual display. Our next panel will look at where we are going in the exciting world of natural language, human/machine interface and a revolution in the multi-dimensional capabilities of machine and humanity combined.

The near universal use of the cell phone for more than conversation indicates that a powerful new wave combining computing and cognition is moving to touch of our lives in ways never thought possible.

Before and after the sessions, and during the dinner break, there is ample time to connect and talk with like-minded experts in the domain.

Download the NFIC 2016 Program Flyer.


Registration and networking


Panel 1 – The State of the Art

Jeff Welser

Keynote by Dr. Jeffrey J. Welser
Vice President & Lab Director, IBM Research – Almaden

Cognitive Computing: Augmenting Human Capability
The purpose of technology has always been to help humans expand and scale their mental and physical capabilities. Up until recently, the primary purpose of computing technology focused on automating routine tasks and exponentially speeding up our capability to do precise computations on structured data. [read more]



Dinner and networking


Panel 2 – What the Future Holds

Noah Goodman

Keynote by Dr.  Noah Goodman
Assistant Professor of Psychology, Computer Science (by courtesy), and Linguistics (by courtesy), Stanford University

Understanding human language, like a human. And other tales of cognitive computing
Human cognition is incredibly flexible, partly because common-sense knowledge is uncertain but highly structured. Probabilistic programming languages (PPLs) provide a formal tool encompassing probabilistic uncertainty and compositional structure. [read more]




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