Machine Learning

DARPA Award for more responsive AI that combines human and machine

The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.|Short Read
Man stepping over puddle in rain

Teaching self-driving cars to predict pedestrian movement

Data gleaned from cameras and sensors increases predictive accuracy.|Medium Read
Emily Mower Provost, Associate Professor of Electrical Engineering and Computer Science, speaks at the Ada Lovelace Opera: A Celebration of Women in Computing event. Photo: Joseph Xu

The logic of feeling: Teaching computers to identify emotions

A Q&A with machine learning expert Emily Mower Provost.|Medium Read
Wilka Carvalho

Exploring the source of social stereotypes

Carvalho plans to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.|Short Read
Andrew Wagenmaker

Andrew Wagenmaker awarded NSF Fellowship for machine learning

Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington.|Short Read
A researcher holds a petri dish containing clostridium difficile bacteria

Preventing deadly hospital infections with machine learning

Model successfully applied to data from medical centers with different patient populations, electronic health record systems|Medium Read
Jason Mars

Bringing smart banking to market

Jason Mars, CEO of Ann Arbor startup Clinc, was named #2 in Bank Innovations’s "10 Most innovative CEOs in Banking 2017" list. Clinc is leading the pack for development of intelligent banking assistant software.|Medium Read
Electrical and Computer Engineering

Mingyan Liu: Confessions of a pseudo data scientist

Liu's most recent research involves online learning, modeling of large-scale internet measurement data, and incentive mechanisms for security games.|Short Read

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.|Short Read
Electrical Engineering & Computer Science logo

Wakefield and Kieras win Best Paper Award at ICAD 2014

The paper addresses how to manage multiple sources so that the user can maximize the information gained from each acoustic source.|Short Read
asendorf

Student Spotlight: Nick Asendorf – Matrix Musician

Nick specializes in the area of machine learning and statistical signal processing.|Short Read
scott, kaski,corander

Research in machine learning earns Notable Paper Award at AISTATS 2014

Prof. Scott's research is in the field of machine learning, and his paper builds upon "supervised pattern classification."|Short Read