Machine Learning

Illustration of growing cancer tumor.

New machine learning method improves testing of stem-like tumor cells for breast cancer research

To improve the prediction and identification of stem-like cancer cells, Prof. Euisik Yoon’s group developed a method that is 3.5 times faster than the standard approach. |Short Read
Graphic of contrast test

Research on human biases in AI learning earns best student paper award

The project demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.|Medium Read
people on the street's of dublin

Live public street cams are tracking social distancing

Virtually visit (what should be) desolate intersections around the world during COVID-19.|Medium Read
Person looking at a smartwatch

Could a smartwatch identify an infection before you start spreading it?

A wrist-worn device detected disrupted sleep 24 hours before study participants began shedding flu viruses.|Medium Read

Generating realistic stock market data for deeper financial research

A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets|Medium Read
Students in front of their poster

Machine Learning takes over the EECS Atrium

Students in EECS 545: Machine Learning, taught by Prof. AL Hero, presented their final projects in a poster session sponsored by KLA. |Short Read
Image of Cancer spheres treated by doxorubicin.

Enabling large-scale testing of cancer drugs with machine learning

Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics. |Medium Read
Al Hero and Anders Lindquist in conversation

Machine Learning and Systems: A conversation with 2020 Field Award winners Al Hero and Anders Lindquist

Hero and Lindquist took a few minutes to talk about the impact of machine learning on Signal Processing and Control Systems, and what they plan to do about it|Long Read
Amulya Parmar

AI-powered Whatsapp Bot fights fake news in India

CE undergrad Amulya Parmar designed a machine learning algorithm to curb fake news as part of the Tavtech Fellowship program.|Short Read

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