Join us for the NVAITC-UF Virtual AI Symposium on May 16th!
The NVIDIA AI Technology Center at The University of Florida (NVAITC-UF) would like to invite you to the upcoming NVAITC-UF Virtual AI Symposium on Tuesday, May 16, 2023, where we’ll be sharing exciting breakthrough research and technology in the field of artificial intelligence (AI).
During this virtual symposium, the NVAITC-UF researchers will discuss their latest developments in AI research, including the newest advancements in computer vision, natural language processing, machine learning, and deep neural networks. We’ll showcase real-world applications of AI that are transforming industries such as healthcare, engineering, architectural design, computational simulations, and much more.
Whether a researcher, industry professional, or enthusiast, this is an incredible opportunity to connect with like-minded individuals and experience the cutting-edge of AI research going on at UF. Our goal is to spark engaging discussions and push the boundaries of what’s possible with this groundbreaking technology.
To register for the event, please visit the link below.
We look forward to sharing our research with you and experiencing the future of AI together!
Details of Symposium:
Event Name: NVAITC-UF Virtual AI Symposium
Date: Tuesday, May 16, 2023
Time: 9:00AM to 4:30PM EST
Location: Virtual via Zoom
|09:00 – 09:15 am||Opening Remarks and Introduction|
|09:15 – 09:55 am||Dr. Yonghui Wu
“Challenges and Opportunities of Large Language Models for Healthcare”
|10:00 – 10:40 am||Dr. S. “Bala” Balachandar
“Revolutionary Advancement in Multiphase Flow Modeling using Generative and Operator Learning AI Models”
|11:00 – 11:40 am||Dr. Sanjiv Samant
“Deep Learning Real-time Models for Prediction of Target Motion for More Accurate Radiation Therapy”
|11:45 am – 12:25 pm||Dr. Karla Saldana Ochoa
“From Text to 3D Structural Forms: Interactive Approach to Structural Design using Text-based AI Engine Couple with Computational Graphic Statics”
|12:25 – 1:00pm||Lunch|
|1:00 – 1:40 pm||Dr. Aprinda Indahlastari
“Machine Learning and Precision Neuromodulation”
|1:45 – 2:25 pm||Dr. Ruogu Fang
“Trustworthy AI and Large Vision Models for Neuroimages”
|2:20 – 2:40pm||Break|
|2:45 – 3:25 pm||Dr. Shreya Saxena
“Deep Reinforcement Learning Mimics Neural Strategies for Limb Movements”
|3:30 – 4:10pm||Dr. Christopher Butson
“Identification of Seizure Onset Zones in Epilepsy using Single Pulse Mapping Data and other AI Work in Deep Brain Stimulation”
|4:15 – 4:30 pm||Closing Remarks and Conclusion|