Artificial Intelligence Lab
AI News
10-08-08 John Laird Professorship Lecture and Reception
Please join us to honor John Laird, the Tishman Professor of Engineering, Thursday, Oct 30 at 3:30pm in 1670 CSE. Remarks begin at 3:40pm sharp.Please join us to honor John Laird, the Tishman Professor of Engineering, Thursday, Oct 30 at 3:30pm in 1670 CSE. Remarks begin at 3:40pm sharp. [More Info]
07-18-08 Student team takes first place in Trading Agent Competition
Trading Agent Competition (TAC) team captures first place at the international TAC Supply Chain tournament in a competition of 13 teams from seven different countries. [Read more...]
05-28-08 John Laird Named John L. Tishman Professor of Engineering
John Laird, professor of Computer Science and Engineering, member of the Artificial Intelligence (AI) Laboratory, and an internationally renowned leader in AI, has been named the John L. Tishman Professor of Engineering.[Read more...]
04-25-08 Online Q and A forums hit the mainstream
Research conducted by Lada Adamic and Mark Ackerman into how people share knowledge on Yahoo Answers has found that participants use the site to exchange advice and opinions, in addition to technical expertise. Their study is called "Knowledge sharing and Yahoo Answers: Everybody knows something." [U-M Press Release] [Podcast]
04-07-08 Profs. Durfee and Pollack Receive Influential Paper Awards from IFAAMAS
Profs. Ed Durfee and Martha Pollack are recipients of the International Foundation of Autonomous Agents and Multi-Agent Systems (IFAAMAS) influential paper award in recognition of the impact their work has had on the field of agents and multiagent systems. [Read more...]
03-26-08 Lada Adamic Wins Prestigious NSF CAREER Award
Lada Adamic, assistant professor, School of Information & Center for the Study of Complex Systems, and EECS, has been awarded a prestigious Faculty Early Career Development Award from the National Science Foundation for her studies on the effects of local interactions on global properties in the realms of the Internet, peer-to-peer systems, social networks, and bioinformatics. [read more...]
11-13-07 EECS 598: Human-Inspired Computing
Term: Winter 2008
Course No.: EECS 598
Credit Hours:
Instructor: Todd Austin
Prerequisites:
Course Description:
EECS 598: Human-Inspired Computing
Instructor: Prof. Todd Austin, austin@umich.edu, 4637 CSE
Lectures: Tues-Thur 12:00-1:30pm, 1003 EECS
This course covers recent research topics in computer engineering related to human-inspired computing applications. Specifically, we will be examining sensing and control applications on and within the human body, such as health sensing and assisted-living applications. In support of these applications we will study a variety of supporting technologies, including sensor processors, bio-implant technologies, bio-chemical sensing applications, neural-signal processing, and radio-frequency identification. The research studied in the course will have strong foundations in embedded computing, computer architecture, networking, signal processing, low-power electronics, and distributed computing.
The goal of the class is to give students the background knowledge necessary to go forward and apply their core research technologies into the emerging domain of human-inspired computing. The primary evaluation criteria are the quality of student's written paper critiques and in-class presentations of assigned research papers,and a semester-long team research project. The project teams will be composed (as far as possible) of a mix of students with EECS background and students with backgrounds in one or more of the application domains. The prerequisite of the class is graduate standing, although undergraduate students in EECS with coursework in programming (EECS 280), networking (EECS 489) and hardware (EECS 370 and 373) will also be able to take this course.