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Machine Learning

Graphic of DNA and data

Precision health in the palm of your hand

Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.|Long Read
Tommy Cope swimming breaststroke

Coping with COVID-19 as a student and Olympic hopeful: a Q&A with Thomas Cope

Even award-winning athletes are having a hard time getting into a routine these days, but Tommy Cope wants everyone to keep working hard.|Medium Read
3D mesh of a person from a cooking video

New research teaches AI how people move with internet videos

The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.|Medium Read
Melissa Haskell

Melissa Haskell receives NIH Fellowship for research to improve brain imaging

ECE postdoc Melissa Haskell works on improving functional magnetic resonance imaging so we can better measure and understand brain activity. |Short Read
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