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.
Business Analytics & Statistics Seminar
Friday ~ November 14, 2014 ~ Haslam College of Business ~2-3 pm in HBB 202 ~All welcomed to attend/visit ~ Navigating the stochastic filtering landscape By: Dr. Vasileios Maroulas, Assistant Professor. Department of Mathematics at The University of Tennessee www.math.utk.edu/~maroulas Click HERE to see the abstract.
OLCF OpenACC Hackathon Update
ORNL Computational Data Analytics Group Team successfully compiled and ran the very first prototype of an evolutionary neural network on an HPC platform on October 29, 2014! Next challenge: to evolve a neural network that performs well on one data set into another one that performs well on a completely different data set. Team members Robert Patton, Rangan Sukumar, Seung-Hwan Lim, and Tom Karnowski demonstrate their prototype to Robinson Pino (DOE ASCR) and Michael Berry (DOE/UT). Click HERE see picture.
Geometry/Topology: Theory and Applications
Colloquium in the Mathematics Department (Ayres 405) Friday, November 7, from 3:35-4:35pm. Presenter: Dr. Fernando Schwartz Abstract: "In this talk I will describe recent research projects in Geometry & Topology that are related to both the development of theory in the area, as well as the application of some of its techniques to real-world problems. I will start by describing my joint work in differential geometry in which classic inequalities for surfaces are generalized. Then I will describe two current collaborative projects –revolving around biologically inspired problems– where topological techniques have played a significant role in obtaining preliminary results. The differential geometry work is joint with A. Freire (UTK Math). The collaborative projects in applied topology are joint with K. Wong (NICS) and L. Xiang (UTK REU), and with V. Maroulas (UTK Math) and I. Sgouralis (NIMBioS)."
- A decentralized architecture for multi-robot systems based on the Null-Space-Behavioral control with application to multi-robot border patrolling by
- IQ-ASyMTRe: Forming Executable Coalitions by
- Simplex-Based 3D Spatio-Temporal Feature Description for Action Selection by
- Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents by