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The University of Tennessee

Center for Intelligent Systems and Machine Learning

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The Center for Intelligent Systems and Machine Learning (CISML) is a collaboration of faculty from three colleges and eight academic departments at the University of Tennessee (UT), and is part of the College of Engineering on the Knoxville campus. Beginning as a simple faculty initiative to create a unified curricula, CISML evolved (in October 2010) into an official UT research center that studies the theory and application of intelligent systems and machine learning. In addition to UT faculty, the Center's research staff is comprised of eight experts from Oak Ridge National Laboratory (ORNL).

CISML's focus is on designing computer-based systems that exhibit intelligent behavior, operate autonomously, and adapt to environmental changes. Examples of the diverse research activities in this area include pattern recognition, robotics, artificial intelligence, biologically-inspired cognitive architectures, bioinformatics, and data mining, to name a few.

Recent News

  • February 26, 2015 Wired Magazine interviewed Dr. Itamar Arel

    Dr. Itamar Arel was interviewed by Wired magazine on the topic of next generation Artificial General Intelligence. Click HERE to read a related article.
    Click again to read another arcticle about Dr. Arel.

  • February 2, 2015 Space, Place, and GIS

    2015 Hammond Lecture presented by The Department of Geography ~ February 12, 2015 (Thursday) in Hodges Library's Auditorium at 3:40 PM ~ Reception starts at 3 PM. Presenting is Dr. Mike Goodchild. He is considered by many to be the father of Geographic Information Science and is widely credited with coining "Volunteered Geographic Information." His research interests center on geographic information science, spatial analysis, and uncertainty in geographic data. Click HERE to see flyer

  • January 15, 2015 March 4-5 - Big Data Analytics Conference in Oak Ridge

    The 70th Annual Meeting of the ORAU Council of Sponsoring Institutions is only about six weeks away, and it will be here before we know it. We truly hope you will be able to attend the conference MARCH 4-5, 2015 whose theme is: Big Data Analytics: Challenges and Opportunities. Click HERE to register . The deadline for registration and lodging is MONDAY, FEBRUARY 16, 2015. A number of experts and leaders from academia, government, and private industry will discuss effective strategies and emerging trends in key areas of national importance regarding big data. Conference to be very engaging and informative. There is no registration fee to attend the annual meeting. The business session of the meeting shown on the agenda is open to all.