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.
Navigating the Stochastic Filtering Landscape - Math Colloquium
TIME: 3:35 ~ ROOM: Ayres 405 ~ SPEAKER: Vasileios Maroulas
ABSTRACT: This talk navigates us through the landscape of stochastic filtering, its computational implementations and their applications in science, engineering and national defense. We start by exploring properties of the optimal filtering distribution. Unfortunately, under general conditions, the filtering distribution does not enjoy a closed form solution. Employing several methods, e.g. particle filters, we approximate it and we explore properties of the underlying process and its engaging parameters. The parameter estimation leads us to a research path which involves a novel algorithm of particle filters blended with a Markov Chain Monte Carlo scheme, a sequential Empirical Bayes method and related sufficient estimators. Last stop of this talk is at the Fukushima power plant station whose data we use in order to estimate the spatiotemporal evolution of radioactive material caused by the disastrous accident in the region in 2011.
Two Open Post Doctoral positions at ORNL
Oak Ridge National Laboratory has 2 open post doctoral positions open for high performing candidates working in Sensors and Embedded Systems and in Computer Vision and Machine Learning.
Click HERE for the job description for Sensors. Click HERE for the job description for Computer Vision. Interested candidates should apply to ORNL through http://www.ornl.gov/ornl/careers .
Dr. Michael W. Berry ~ Keynote Speaker in Malaysia
Dr. Berry will give a keynote presentation at the International Conference on Soft Computing in Data Science, Sept 2-3, 2015 in Kuala Lumpur, Malaysia. In addition, he will give a workshop on data visualization and numerical analysis using Python the day before the conference. Berry is a co-editor of the conference proceedings that will be published by Springer in their "Communications in Computer and Information Science" series. Click HERE to see abstract.
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