Robotics and Machine Learning: Working with NVIDIA Jetson Kits

Are you going?

60 spots left

Share:
Location image of event venue

Details

Curious about how GPUs work with AI and robotics? For less than $100, you can now buy small, powerful computers capable of running multiple neural networks or controlling robotics. Join in December to see how the NVIDIA Nano can be used to handle your AI needs.

Agenda
-------------------------------------------------
6:30 PM -- Networking & Food

7:00 PM -- Greetings

8:00 PM -- A robotics and machine learning experience with NVIDIA® Jetson Nano™ - Patty Delafuente

8:45 PM -- Closings

Location
-------------------------------------------------
UMBC Technology Center
Main Seminar Room
1450 S Rolling Road, Halethorpe, MD 21227

The Main Seminar Room is on the ground floor directly to the left of the entrance.

Parking
-------------------------------------------------
There is ample free parking near the building. Follow the sign to building 1450 where you will see three flags at the entrance. Parking is located on the LEFT.

Food and Drinks
-------------------------------------------------
Complimentary food, such as pizza and chips, and non-alcoholic beverages will be provided.

Talks
-------------------------------------------------
A robotics and machine learning experience with NVIDIA® Jetson Nano™
Interested in machine learning and AI? Do you want to learn more about high performance GPU programming and how it applies to Deep Learning? Patty Delafuente will introduce you to the Nvidia Jetson developer kits, discuss their applications, how to get started, and provide a live demonstration of NVIDIA® Jetson Nano™, an easy to use deep learning and robotics platform.

Speakers
-------------------------------------------------
Patty Delafuente
Patty Delafuente, is a lead Data Scientist in the Advanced Data Analytics Lab at the Social Security Administration. She teaches evening classes for the University of Maryland Baltimore County’s graduate level Data Science Program. Patty is a member of the ‘MS in Analytics Advisory Board’ for Texas A&M University.

Patty holds a Master of Science in Analytics from Texas A&M University along with a Bachelor and Masters in Information Systems and holds numerous certifications. In 2017, she was awarded the Texas A&M Margaret Sheather Memorial Award in Analytics for her Capstone Project, “Using Decision Trees to Analyze Patterns in Disability Fraud.”
She has over twenty years of database engineering, business intelligence, and analytics experience.

Her interests include machine learning, text mining, and using GPUs to improve the performance of analyzing and processing big data. She is a certified Nvidia Instructor in the ‘Fundamentals of Deep Learning for Computer Vision’ and ‘Accelerated Computing with Python’. Patty can be reached LinkedIn at https://www.linkedin.com/in/pattydelafuente319/

Resources
-------------------------------------------------
NVIDIA Jetson Store - https://www.nvidia.com/en-us/autonomous-machines/jetson-store/