Researchers at Georgia Tech are organizing the first ever machine learning and artificial intelligence (AI) cluster at this year’s INFORMS conference. The cluster is being created as INFORMS, one of the major conferences for operations research and analytics, is integrating machine learning more fully into its agenda. Yao Xie and George Lan, associate directors at… Continue reading ML@GT Introduces Machine Learning and AI Cluster at INFORMS Conference
Author: Machine Learning Center at Georgia Tech
The Machine Learning Center was founded in 2016 as an interdisciplinary research center (IRC) at the Georgia Institute of Technology. Since then, we have grown to include over 190 affiliated faculty members and 60 Ph.D. students, all publishing at world-renowned conferences. The center aims to research and develop innovative and sustainable technologies using machine learning and artificial intelligence (AI) that serve our community in socially and ethically responsible ways.
Student Selected for Competitive Workshop for Females in Engineering and Computer Science
Liyan Xie has been selected as a 2020 EECS Rising Star to attend an intensive workshop in November. The workshop is open to graduate students and postdoctoral researchers and is aimed at increasing the numbers of women interested in pursuing academic careers in electrical engineering, computer engineering, computer science (EECS.) Xie, a Ph.D. student in… Continue reading Student Selected for Competitive Workshop for Females in Engineering and Computer Science
Learning Machines: Neurocomputing Explained by Chris Rozell
Welcome to Learning Machines, where we chat with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and what the future holds for their field. Today we talked with Chris Rozell, a professor in the School of Electrical and Computer Engineering and ML@GT faculty member, where he explained what exactly neurocomputing… Continue reading Learning Machines: Neurocomputing Explained by Chris Rozell
New Podcast and Video Series Seeks to Highlight AI Researchers Stories Over Stats
With accolades showered upon them, seemingly perfect educational pedigrees, and conversations focused mostly on their groundbreaking work, it’s hard to remember that artificial intelligence (AI) researchers are real people. They’re people who take ballet classes as an adult, who suffer from anxiety, and love art. They’re also people who feel giddy over fresh flowers, have… Continue reading New Podcast and Video Series Seeks to Highlight AI Researchers Stories Over Stats
Google Awards ML@GT Student for Outstanding Machine Learning Research
Machine Learning Center at Georgia Tech (ML@GT) and School of Computational Science and Engineering (CSE) Ph.D. student Xinshi Chen is being recognized for her work in machine learning with a prestigious fellowship. Chen specializes in principled machine learning research with a focus on learning-based algorithm design and deep learning structured data. Her work has garnered the attention… Continue reading Google Awards ML@GT Student for Outstanding Machine Learning Research
NYT R&D Team to Discuss Technology’s Impact on Journalism in Live, Virtual Event
This month, The Machine Learning Center at Georgia Tech (ML@GT) is co-hosting a live, virtual event featuring the New York Times Research and Development (R&D) team. Set for Oct. 30 in collaboration with the University of California, Berkeley, members of the R&D team will participate in a virtual conversation to discuss how the Times is… Continue reading NYT R&D Team to Discuss Technology’s Impact on Journalism in Live, Virtual Event
Meet ML@GT: Andrew Sedler on Improving Neuroprosthetic Devices
The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech’s colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we’d like you to meet Andrew Sedler, a… Continue reading Meet ML@GT: Andrew Sedler on Improving Neuroprosthetic Devices
Tao Wins Best Paper Award at Artificial Intelligence and Statistics Conference
A mathematician by trade, Molei Tao, typically uses mathematics to design algorithms and solve physical science problems like how planets move. Recently, he became attracted to machine learning, an area that according to him, contains numerous interesting problems that are mathematically exciting and can benefit from modern mathematical tools. This year, Tao published his first… Continue reading Tao Wins Best Paper Award at Artificial Intelligence and Statistics Conference
Learning Machines: Natural Language Processing Explained with Diyi Yang
Welcome to Learning Machines, where we’ll talk with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and the future of their work. Today we talked with Diyi Yang, an assistant professor in ML@GT and the School of Interactive Computing. Yang’s lab, Social and Language Technologies (SALT), combines… Continue reading Learning Machines: Natural Language Processing Explained with Diyi Yang
Meet ML@GT: Yuan Yang Looks to Find the ‘Right’ Problem to Solve
The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech’s colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we’d like you to meet Yuan Yang, a… Continue reading Meet ML@GT: Yuan Yang Looks to Find the ‘Right’ Problem to Solve
