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Intersection of Physics and AI - Incorporating Physics into Data-Driven Computer Vision

Offered By: AI Institute at UofSC - #AIISC via YouTube

Tags

Artificial Intelligence Courses Physics Courses Machine Learning Courses Computer Vision Courses Neural Networks Courses Autonomous Vehicles Courses Generative AI Courses

Course Description

Overview

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Explore the fascinating intersection of Physics and Artificial Intelligence in this comprehensive 59-minute talk by Parth Patwa, a data scientist at Amazon. Gain a high-level overview of physics-based neural networks and discover diverse applications of physics in natural language processing, healthcare, data generation, and autonomous vehicles. Delve deep into the topic of "Incorporating Physics into Data-Driven Computer Vision," examining approaches such as modifications to datasets, network design, loss function, optimization, and regularization schemes. Learn from Patwa's expertise, drawing on his experience at Amazon, MIT Pathcheck, and his impactful publications in NLP and Computer Vision with over 1000 citations.

Syllabus

Intersection Of Physics and AI-Parth patwa


Taught by

AI Institute at UofSC - #AIISC

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