CSE 290D: Seminar on Integrative AI EngineeringSeminar Overview and GoalsMachine learning, data science, and more generally, software and systems powered by artificial intelligence (AI) techniques have led to a new era of computing applications that augment human capabilities, automate many mundane tasks, and permeate the virtual and physical worlds. These applications, which have captured the public imagination, range from benign ones such as recommendation systems, personal conversational assistants, healthcare assistants and robotics, Internet of Things and predictive maintenance, and self-tuning software systems to controversial ones such as autonomous vehicles, AI-enabled mass surveillance, and AI-powered weapons of war. Such applications require holistic thinking blending computer science and engineering with math, physics, cognitive science, ethics, and various engineering fields, as well as the application domain, leading to an emerging AI-focused engineering discipline that is often called "Integrative AI". In a sense, ML/AI plays a similar role in this emerging engineering field that physics does to electrical, mechanical, and many other existing engineering fields. This field is transforming the way researchers and practitioners work in the sciences and engineering and the way companies obtain business insights, creating entirely new market categories, and even changing the way society itself functions. The goal of this new seminar is to explore and understand this dramatic emerging space of integrative AI engineering through the lens of high-profile applications and the science and engineering behind them. Students will also acquire the skills of reading papers in this area and presenting them to a technical audience. AdministriviaSeminar Meetings: Mon 4:00-4:50pm; CSE/EBU3b 4140 Organizer: Arun Kumar; Office: CSE 3218 Seminar Content and Format
Pre-requisitesBasic courses on machine learning, data mining, databases, and systems will be helpful but are not really required. Students should also be willing to learn the basics of new application domains on their own. Grading
Classroom Rules
|