National Chengchi University
Uedu Main Site
Explore Uedu
Student Console
Register as Member/Login
Research Informed Consent Center
Survey Center
Teacher Console
Course Setup
Support & Messages
Uptime Data

UeduGPTs

--

Jupyters

7

Local AI

--

Uedu Code

--

CISOSE26 Local AI Uedu Code UG26
政治大學 AQI 58 26°C PM2.5 12
AI Reply Desktop Notifications

Show a desktop notification when the AI TA finishes replying

Chat Message Notifications

Notify me when classmates post messages in the forum

Sound notification

Play an alert sound whenever there is a new notification

Uedu Open / How to AI (Almost) Anything
MAS.S60

How to AI (Almost) Anything

Prof. Paul Liang | Spring 2025
Data Science, Analytics & Computer Technology AI Machine Learning Computer Science Engineering Artificial Intelligence
Go to original course
CC BY-NC-SA 4.0
Course introduction

Artificial Intelligence (AI) holds great promise as a technology to enhance digital productivity, physical interactions, overall well-being, and the human experience. To enable the true impact of AI, these systems will need to be grounded in real-world data modalities, from language-only systems to vision, audio, sensors, medical data, music, art, smell, and taste. This course will introduce the basic principles of AI (focusing on modern deep learning and foundation models) and how we can apply AI to novel real-world data modalities. In addition, we will introduce the principles of multimodal AI that can process many modalities at once, such as connecting language and multimedia, music and art, sensing and actuation, and more.

Through lectures, readings, discussions, and a significant research component, this course will develop critical thinking skills and intuitions when applying AI to new data modalities, knowledge of recent technical achievements in AI, and a deeper understanding of the AI research process.

Course Information
SourceMIT 開放式課程
DepartmentMedia Arts and Sciences
LanguageEnglish
Number of videos0
Course videos (0)
No video materials are available for this Course yet
Go to the original course page to view