John Martinis and his team at UC Santa Barbara has joined the Quantum Artifical Intelligence team at Google in a hardware initiative to design and build new quantum information processors based on superconducting electronics. With an integrated hardware group, the Quantum AI team will now be able to implement and test new designs for quantum optimization and inference processors based on recent theoretical insights as well as our learnings from the D-Wave quantum annealing architecture. Google will continue to collaborate with D-Wave scientists and to experiment with the "Vesuvius" machine at NASA Ames which will be upgraded to a 1000 qubit "Washington" processor.

Tushar Chandra is a Principal Engineer at Google Research and a co-lead for the Sibyl project, a large-scale Machine Learning platform widely used within Google. Tushar received his Ph.D. in Computer Science from Cornell University in 1993 and joined IBM Research thereafter, where he worked on distributed systems projects such as Reliable Scalable Cluster Technology, Gryphon, and Oceano. Tushar joined Google in 2004, where he has worked on Bigtable, a distributed system for managing structured data, as well as a platform for fault tolerance. He was a joint winner of the 2010 ACM-EATCS Edsger W. Dijkstra Prize in Distributed Computing.

In April, the 2015 ACM conference on Human Factors in Computing Systems (CHI 2015) will take place in Seoul, Korea. With the theme of "Crossings" - crossing disciplines, crossing people and technology, crossing physical and digital - CHI 2015 will draw an international community of scientists in a celebration of the forward-looking nature of Human-Computer Interaction (HCI) research. As a Champion-level sponsor, Google will be on hand to share our latest research discoveries, with Googlers presenting papers, offering workshops, and participating in panels and case studies. We hope to see you there in order to share more about the exciting HCI research at Google.