Home > News > All News > Artificial Intelligence

Artificial Intelligence

News Feed

U-M team reaches next phase of Amazon Alexa Prize SimBot Challenge

Team SEAGULL, led by doctoral student Yichi Zhang and advised by Prof. Joyce Chai, strives to develop embodied AI agents capable of attending to users’ needs, following natural language instructions, collaborating, and continuously improving through interaction.

Austin Nguyen awarded NSF Graduate Research Fellowship to study multi-agent reinforcement learning

Nguyen, a CSE PhD student, aims to leverage AI and machine learning to advance cooperative agents.

Prof. Xinyu Wang collaborates with UiPath to democratize automation

The two will collaborate on building new programming techniques that are accessible to non-experts and non-programmers.

LG AI Research opens North American Artificial Intelligence Research Center in Ann Arbor with strong ties to U-M

The LG AI Research Center, and its partnership with U-M, represents a commitment by LG to become a leader in developing advanced AI technologies.

Joyce Chai named ACL Fellow for significant contributions to grounded natural language processing and the interaction between language processing and robotics

Prof. Chai has been recognized for significant contributions to grounded natural language processing and the interaction between language processing and robotics.

CSE doctoral student Tara Safavi receives Rackham Predoctoral Fellowship

The fellowship will advance her work in inferring relational world knowledge in machines with explicit and implicit representations.

Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award

The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.

Faculty Profile: Emily Mower Provost

Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.

Jenna Wiens Named New Precision Health Co-Director

Wiens is transitioning to Co-Director from a successful role as a Co-Lead for Precision Health’s Data Analytics & IT Workgroup, which expanded access to data and research tools across the university.

Prof. Jason Corso on artificial intelligence

The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.

UM::Autonomy competes with brand new boat design

The UM::Autonomy team brought their latest autonomous boat, called Flying Sloth, to participate in the Association for Unmanned Vehicle Systems International Foundation Roboboat competition.

COVE: a tool for advancing progress in computer vision

Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.

Patented camera calibration tool automates calibration target acquisition

This innovative software guides users through the process of collecting a set of images of a calibration target.

Rada Mihalcea co-authors new book on text mining

Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections.

U-M researchers launch fight against C. difficile with $9.2M grant from NIH

Prof. Wiens will continue to use machine learning techniques to study the disease.

Lie-detecting software uses real court case data

U-M researchers are building a unique lie-detecting software that works from studying real world data from real, high-stakes court cases.

Jason Corso receives Google Faculty Research Award

Prof. Corso believes that this research could make it easier to search for certain types of videos on the web.

2015 EECS Outstanding Achievement Awards

Winners are chosen for their outstanding accomplishments in teaching, research, and service.

John Laird Authors Book on Soar Cognitive Architecture

Professor John E. Laird, the John L. Tishman Professor of Engineering in the EECS Department, has authored a new book entitled "The Soar Cognitive Architecture," which has been published by MIT Press.

Nate Derbinsky Wins Best Poster Award at ICCM

Ph.D. candidate Nate Derbinsky has won the Best Poster Award at the 11th International Conference on Cognitive Modeling (ICCM), which took place April 13 - 15 in Berlin, Germany.