Upcoming AI Events
AI Speaker Series : 3 Nov, 2021 - 7 PM EST
Careers in Data Science
Data Science is and always has been a varied, interdisciplinary field. Broadly a combination of statistics, computing, and puzzle solving, data science as a career path can provide many opportunities for anyone with strong analytical, mathematical, and technical skills. A clear grasp of what data science is and isn’t along with an appreciation of the breadth of its subject matter is a necessary first step in understanding if it’s a good fit your goals.
Join me for a quick tour of the field and a discussion of a few interesting projects presented against the backdrop of my winding path from a Math/Physics Bachelor’s degree to a PhD in Astronomy to Lead Data Scientist for the Chief Data Office of the United States Air Force (SAF/CO).
AI Speaker Series : 29 April, 2021 - 7 PM EST
Dr. Will Cousins
Director, Baseball Research and Development for the Tampa Bay Rays
Data Science and Technology in Baseball
Data Science and Technology in Baseball - Over the past decade, technology has allowed for the measurement of detailed information on what happens in a baseball game, ranging from the spin of pitched baseballs, exact trajectories of home runs, and the motion of players on the field. We'll talk about this new information and how it impacts the game.
An evening with Mathew Penn, Senior Solution Architect, NVIDIA
Discussion on a few AI Projects a NVIDIA:
A. Tracking of individuals in video captured by drones.
B. NVIDIA's new technology for improving internet-based video chat quality.
AI Speaker Series : 10th September, 2020 - 7 PM EST - Online and Free
Dr. Geoffrey Fairchild
Los Alamos National Laboratory
From Influenza to Ebola to COVID-19: Historical and Modern Epidemiology
COVID-19 has turned an entire generation into epidemiology enthusiasts, but the field’s modern origins date back to an iconic mystery in 1800s London. Since that time, the field has blossomed in directions that its founder never could’ve dreamed, using data from social media, satellite imagery, and more in advanced systems of differential equations and machine learning, statistical, and agent-based models. This talk will discuss the origins of epidemiology and discuss the development of modern computational and mathematical epidemiology, as well as some related offshoots like modeling political instability and the spread of misinformation.