The Center for Intelligent Systems and Machine Learning (CISML) is a collaboration of faculty from four colleges and nine 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.
COSC 594-002 (Graph Theory) ~ Spring 2016
Course Offering for Spring 2016: Section 002 of COSC 594 for Spring 2016 is intended for graduate students with an interest in graph theory. Lectures will be largely devoted to guided discussions. Examinations per se are not anticipated, but participants will be expected to complete homework and reading assignments. Students in any academic discipline will be welcomed. Time and Place: Wednesdays from 5:05 to 7:45 pm, Min Kao 406 Instructor: Mike Langston, EECS, 974-3534, langston [at] tennessee.edu. The only prerequisite is an introductory-level background knowledge of discrete mathematics. For perspective, some familiarity with algorithms and computation may also be helpful. Registration: This course is listed as COSC 594, Section 002. Credit. Three hours Textbook: Bondy and Murty, Graph Theory (Graduate Texts in Mathematics), Springer, ISBN-13: 978-1846289699. Special Note to Undergrads. Undergraduate students may also enroll in this course, in which case they should register for COSC 494 (Section 003).
2016 Summer Internship- SULI - ORNL – Apply now!!
Application deadline: January 8, 2016 5:00 p.m. ET ~ Apply online now at http://science.energy.gov/wdts/suli/ Email suli [at] orau.org for questions or additional information. Areas of research include materials, neutron sciences, energy, high-performance computing, systems biology and national security. Visit http://www.youtube.com/watch?v=NSCdUJ8cavw Benefits: •10 weeks (June 6– August 12) engaged in a research project under the direction of a laboratory scientist/engineer •Career development workshops/lab tours • $500 per week stipend and limited travel reimbursement/housing allowance (for those who qualify) To be eligible, you must: •Be currently enrolled full-time at an accredited U.S. institution AND have completed at least one year as an undergraduate (at the time of application) • Be at least 18 years of age • Be a U.S. Citizen or Legal Permanent Resident • Have a minimum GPA of 3.0. ORNL is the largest science and energy laboratory in the Department of Energy system.
Artificial Intelligence Startup Osaro Raises $3.3M
Co-founder and chief executive
Dr. Itamar Arelis principal investigator of the Machine Intelligence Laboratory at The University of Tennessee, Knoxville. Dr. Arel is a CISML Faculty Affiliate and member of the Executive Board, and he was previously chief technology officer at startup Binatix. Read the full article: http://venturebeat.com/2015/12/02/artificial-intelligence-startup-osaro-...
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