Abstract For The Laser Interferometer Gravitational-Wave Observatory (LIGO) our group studies the thermal loss of different mirror coatings/amorphous materials to better understand the causes of Brownian thermal noise. Thermal noise is modeled with a collection of thousands of two-level systems and thus understanding these systems is crucial. Unfortunately, there are many physical and underlying atomic features...
The focus of this event is to explain the infrastructure, including hardware, software, and trainings, that UFIT Research Computing provides to support AI research and education at UF. The event is Wednesday, August 12, 2020, 10:30AM – 12:00PM, via Zoom Erik Deumens: “Overview of UF as the AI University with HiPerGator AI powered by NVIDIA...
AI Advances and Applications Virtual Seminar Series “AI for Quantum Chemistry” by Dr. Adrian Roitberg V. T. and Louise Jackson Professor in Chemistry Wednesday, September 2, 2020 ABSTRACT: Computing the energy of a molecular system and the forces acting on the atoms is a very expensive computational task, which scales very badly with molecular size....
AI Advances and Applications Virtual Seminar Series “Artificial Intelligence for Smart City Transportation” by Dr. Sanjay Ranka Professor in Department of Computer Information Science and Engineering Wednesday, September 9, 2020 ABSTRACT: We live in an era of real-time gathering of information and its dissemination. The size of the digital universe is estimated to be around...
Dr. S. Balachandar is a 2020 COVID-19 Response SEED Fund recipient. UF Mechanical and Aerospace Engineering Distinguished Professor S. "Bala" Balachandar will be live on Reddit AMA to answer questions on aerosols, multiphase flows, how far a virus can travel and updating the science behind current safety guidelines. Dr. Balachandar is currently leading an international...
AI Advances and Applications Virtual Seminar Series “The Big Short with AI in Biomedical Sciences: When Actions Don’t Follow Predictions” by Dr. Mattia Prosperi Associate Professor, Preeminence Faculty, Dept. of Epidemiology, Data Intelligence Systems Lab (DISL) Wednesday, September 16, 2020 ABSTRACT: Artificial intelligence (AI) is increasingly becoming key to precision medicine –from identifying disease risks and...
UFII Covid Seed Awardees Virtual Seminar Series “Non-stationary Spatio-Temporal Modeling of COVID-19 Progression in The U.S." by Dr. Abolfazl Safikhani Assistant Professor in Department of Statistics Friday, September 18, 2020 ABSTRACT: The fast transmission rate of COVID-19 worldwide has made this virus the most important challenge of year 2020. Many mitigation policies have been imposed...
During this free workshop, attendees will get a hands-on introduction to using Mathematica. We will work through a variety of examples that explore image analysis, text analysis, web database searches and importing data. No Mathematica experience is required. Please ensure that you have access to Mathematica through HiPerGator and OnDemand before attending this workshop. To...
Creating a neural network or machine learning algorithm does not need to be a complicated process. During this free workshop, attendees will learn how to build neural nets to make predictions using Mathematica. We will work through a variety of examples that explore machine learning, neural networks and deep learning. A basic understanding of the...
AI Advances and Applications Virtual Seminar Series “Plant Root Analysis with Multiple Instance Learning” by Dr. Alina Zare Professor in Department of Electrical and Computer Engineering Wednesday, September 30, 2020 ABSTRACT: In order to understand how to increase crop yields, breed drought tolerant plants, investigate relationships between root architecture and soil organic matter, and explore...
UFII Covid Seed Awardees Virtual Seminar Series “Understanding COVID-19 dynamics and intervention impact in the state of Florida: An agent-based modeling approach" by Dr. Thomas Hladish Assistant Research Scientist in the Department of Biology and Emerging Pathogens Institute Friday, October 9, 2020 ABSTRACT: Understanding COVID-19 spatiotemporal dynamics requires a detailed understanding of population interaction patterns, heterogeneities...
Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Artificial Intelligence techniques like deep learning are introducing automation to the products...
