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.聽 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 鈥淚nternet of Things鈥) converting the large untapped analog world around us to a digital world, and second, (thanks to Moore鈥檚 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, 鈥淢achine Intelligence Led Services鈥.聽 These services are distinguished by machines being in the 鈥榣ead鈥 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.
Pradeep Dubey is an Intel Fellow and Director of Parallel Computing Lab (PCL), part of Intel Labs. His research focus is computer architectures to efficiently handle new compute-intensive application paradigms for the future computing environment. Dubey previously worked at IBM's T.J. Watson Research Center, and Broadcom Corporation. He has made contributions to the design, architecture, and application-performance of various microprocessors, including IBM庐 Power PC*, Intel庐 i386TM, i486TM, Pentium庐 Xeon庐, and the Xeon Phi鈩 line of processors. He holds over 36 patents, has published over 100 technical papers, won the Intel Achievement Award in 2012 for Breakthrough Parallel Computing Research, and was honored with Outstanding Electrical and Computer Engineer Award from Purdue University in 2014. Dr. Dubey received a PhD in electrical engineering from Purdue University. He is a Fellow of IEEE.