Kolter’s Team Wins First Place on Kaggle Competition with Over 2700 TeamsThe team of researchers was composed of Zico Kolter, Shaojie Bai, Devin Wilmott, Mordechai Kornbluth, and Jonathan Mailoa, who won a machine learning Kaggle competition on Predicting Molecular Properties this past September.
Deep Learning Helps Tease Out Gene InteractionsCarnegie Mellon University computer scientists have taken a deep learning method that has revolutionized face recognition and other image-based applications in recent years and redirected its power to explore the relationship between genes.
Wehbe Works Machine Learning Magic To Understand How We ThinkLeila Wehbe, an assistant professor in the Machine Learning Department, has always been fascinated by the human brain — and her research shows it.
Tong Wins ICDM 2019 Tao Li AwardFriday, October 18, 2019
Tong Wins ICDM 2019 Tao Li AwardHanghang Tong, a 2009 Ph.D. alumnus of Carnegie Mellon University’s Machine Learning Department, has won the prestigious Tao Li Award from the International Conference on Data Mining (ICDM).
Machine Learning Teaching Assistant Awards 2019Friday, October 11, 2019
Machine Learning Teaching Assistant Awards 2019Congratulations to the Machine Learning Department's Teaching Assistant (TA) award recipients, pictured above Liam Li, Lisa Lee, Nicholay Topin, Paul Liang and Maruan Al-Shedivat.
CDC Funds Carnegie Mellon's Flu Forecasting CenterTuesday, October 08, 2019
CDC Funds Carnegie Mellon's Flu Forecasting CenterThe U.S. Centers for Disease Control and Prevention has named Carnegie Mellon University as an Influenza Forecasting Center of Excellence, a five-year designation that includes $3 million in research funding. CMU has focused on two methods for flu forecasting — one that uses machine learning and computational statistics to make predictions based on both past patterns and input from the CDC's domestic flu surveillance system and a second that bases its predictions on the judgments of human volunteers who submit weekly predictions.
Al-Shedivat Wins Google Ph.D. Fellowship 2019Monday, September 09, 2019
Al-Shedivat Wins Google Ph.D. Fellowship 2019Machine Learning Ph.D. Student Maruan Al-Shedivat Wins Google Ph.D. Fellowship 2019.
Welcoming our New Faculty MembersWednesday, August 28, 2019
Welcoming our New Faculty MembersThe Machine Learning Department at Carnegie Mellon University welcomes five new faculty members to their core faculty, including Rayid Ghani, Yuanzhi Li, Andrej Risteski, Virginia Smith and Tianqi Chen.
Rayid Ghani, Pioneer in Applying AI to Social Issues, Joins Carnegie MellonMonday, August 26, 2019
Rayid Ghani, Pioneer in Applying AI to Social Issues, Joins Carnegie MellonRayid Ghani, a pioneer in using machine learning, data science, and artificial intelligence to solve major social and policy challenges and the former chief scientist for Barack Obama's 2012 re-election campaign, will join the Carnegie Mellon University faculty this fall.
Carnegie Mellon Led Team Wins the SIG-KDD 2019 Test of Time Paper AwardMonday, July 08, 2019
Carnegie Mellon Led Team Wins the SIG-KDD 2019 Test of Time Paper AwardWe are pleased to announce that a Carnegie Mellon, Machine Learning and Computer Science led team has been awarded SIG-KDD 2019 Test of Time paper award, for their paper: Cost-effective Outbreak Detection in Networks [.pdf] which was authored by Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen and Natalie Glance.
Balcan Wins Bloomberg Data Science Research AwardWednesday, June 19, 2019
Balcan Wins Bloomberg Data Science Research AwardMaria-Florina Balcan, associate professor in the Computer Science and Machine Learning departments, will receive a 2019 Bloomberg Data Science Research Grant for her research into new data-driven approaches to solving clustering problems.
Maxion Wins DSN Test of Time AwardMonday, June 10, 2019
Maxion Wins DSN Test of Time AwardRoy Maxion, research professor in the Computer Science and Machine Learning, will receive the 2019 Test of Time Award at the IEEE/International Federation for Information Processing Conference on Dependable Systems and Networks (DSN 2019), held June 24–27 in Portland, Oregon.
Bacteria Change Behavior to Tackle Tiny Obstacle CourseMonday, May 20, 2019
Bacteria Change Behavior to Tackle Tiny Obstacle CourseThe Carnegie Bosch Institute has announced the results of its initial call for research grant proposals. After a comprehensive review process, six research projects were selected for funding through a Carnegie Bosch Institute Research Award.
Machine Learning Faculty Members Win Carnegie Bosch Institute Research Awards 2019Wednesday, May 08, 2019
Machine Learning Faculty Members Win Carnegie Bosch Institute Research Awards 2019The Carnegie Bosch Institute has announced the results of its initial call for research grant proposals. After a comprehensive review process, six research projects were selected for funding through a Carnegie Bosch Institute Research Award.
Eysenbach Named Hertz FellowMonday, April 15, 2019
Eysenbach Named Hertz FellowCarnegie Mellon machine learning PhD student Ben Eysenbach is one of 11 students to be named a 2019 fellow out of more than 840 applicants.
Zhou Named Paul and Daisy Soros FellowThursday, April 11, 2019
Zhou Named Paul and Daisy Soros FellowCarnegie Mellon machine learning PhD student Helen Zhou is one of 30 students to be named a 2019 fellow out of more than 1,700 applicants.
Members Affiliated With the Machine Learning Department Win J.P. Morgan AI Research Awards 2019Monday, April 01, 2019
Members Affiliated With the Machine Learning Department Win J.P. Morgan AI Research Awards 2019J.P. Morgan AI Research just completed a round of their prestigious J.P. Morgan AI Research Awards. Faculty members Ameet Talwalkar, Ariel Procaccia and Tom Mitchell have won Faculty Research Awards, along PhD student Adarsh Prasad with a PhD Fellowship.
Leila Wehbe Wins Google Faculty Research Award 2018Monday, March 18, 2019
Leila Wehbe Wins Google Faculty Research Award 2018Google Research just completed another round of their prestigious Google Faculty Research Awards. The Machine Learning Department at Carnegie Mellon University is proud to announce that faculty member Leila Wehbe won a Google Research Award in computational neuroscience.
Eric Xing Wins 2019 Carnegie Science AwardWednesday, March 13, 2019