SCI 62 — The Frontiers of Artificial Intelligence Research and Applications
Course Format: On-campus
Duration: 5 weeks
Date(s): Apr 1—Apr 29
Time: 7:00—8:50 pm
Drop Deadline: Apr 14
Instructor(s): Catherine Lu
Apr 1—Apr 29
In recent years, many fields in artificial intelligence (AI) have developed at a pace far faster than even the world’s leading experts in AI predicted. From autonomous driving to game-playing, and construction to recruiting, many AI applications have rapidly progressed due to breakthroughs in their underlying approaches. At the same time, “AI” is becoming an overused word that has under-delivered to date in many areas. This course will discuss the real status of AI research and its applications. We will examine the frontiers of AI across many domains, including natural-language processing, speech recognition, computer vision, AI chips and hardware, and more. We will answer these and other questions: What is the current state of autonomous driving, and how far are we from general availability? When could a Siri-like digital personal assistant be able to plan my day? The goal of the course is for students to become up to date with what’s now possible with AI and what may be just around the corner. Each class will consist of an interactive lecture and many will include a guest speaker from industry or academia. Homework will consist of readings, self-directed research, and short essays; there will be optional additional readings and exploratory projects as well.
A technical background is not required.
Catherine Lu, Venture CapitalistCatherine Lu is an entrepreneur-turned-investor. She is currently a principal at Spike Ventures, a venture capital firm that invests in Stanford-connected companies. Previously, she was director of product at NEA and Sequoia-backed DataVisor, an enterprise company offering an unsupervised machine learning fraud solution. She co-founded the retail AI company Fancy That, which was acquired by Palantir in 2015. She received an MS in computer science from Stanford, focusing on artificial intelligence.
Textbooks for this course:
There are no required textbooks; however, some fee-based online readings may be assigned.