The Quest for The Ultimate Learning Machine DEAR 118 Mon, 10/24/2016 - 4:00pm
Pradeep Dubrey Abstract: <p>Traditionally, there has been a division of labor between computers and humans where all forms of number crunching and bit manipulations are left to computers; whereas, intelligent decision-making is left to us humans. We are now at the cusp of a major transformation that can disrupt this balance. There are two triggers for this: first, trillions of connected devices (the “Internet of Things”) converting the large untapped analog world around us to a digital world, and second, (thanks to Moore’s Law) beyond-exaflop levels of compute, making a large class of structure learning and decision-making problems now computationally tractable. In this talk, I plan to discuss real challenges and amazing opportunities ahead of us for enabling a new class of applications and services, “Machine Intelligence Led Services”. These services are distinguished by machines being in the ‘lead’ for tasks that were traditionally human-led, simply because computer-led implementations are about to reach and even surpass the quality metrics of current human-led offerings.</p> Bio: URL: http://eecs.oregonstate.edu/colloquium/quest-ultimate-learning-machine [1] [1] http://eecs.oregonstate.edu/colloquium/quest-ultimate-learning-machine
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