7 episodios
Computer Systems Colloquium (Fall 2012) Stanford University
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- Tecnología
The Computer Systems Laboratory Colloquium is the regular, weekly colloquium of the Computer Systems Laboratory. At each session, a guest lecturer examines some topic on current research and developments in computer systems. Speakers are drawn from industry, government, research, and educational institutions around the world.
The topics touch upon all aspects of computer science and engineering including logic design, computer organization and architecture, software engineering, computer applications of all sorts, public policy, and the social, business, and financial implications of technology. Frequently the Colloquium provides the first public forum for discussion of new products, discoveries, or ideas.
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7. Bing Dialog Model: Intent, Knowledge, and Interaction (December 5, 2012)
Harry Shum explains how the Bing search engine was developed and what he sees as some of the major challenges facing all search engines given the current architecture. (December 5, 2012)
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6. Haptic Systems: Hardware and Software (November 28, 2012)
Ken Salisbury talks about several haptic systems that he is helping to develop that will improve rendering and even allow for improved medical procedures. (November 28, 2012)
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5. Online Education: One Year Later (November 14, 2012)
Peter Norvig explores the evolution of online education and what developments he thinks will be important in the future. (November 14, 2012)
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4. EteRNA: RNA Nanoengineering Through Crowd Science (October 31, 2012)
Rhiju Das presents the video game his laboratory uses to take advantage of crows-sourcing and use it to improve the scientific method. (October 31, 2012)
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3. Cloud Computing's Impact on Network Design (October 24, 2012)
Richard Palmer discusses the future of networking in a developing environment and how virtual servers will have to adapt to deal with new challenges. (October 24, 2012)
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1. High Performance Computing in the Oil Industry (September 26, 2012)
Robert Clapp discusses the oil industry's use of big data and how different techniques are being used to improve the industry and make timely operations quicker. (September 26, 2012)
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