ML@GT Further Establishes Itself in Natural Language Processing Community

Over the years, the Machine Learning Center at Georgia Tech (ML@GT) has steadily been increasing its presence in the natural language processing (NLP) community. With a few new hires this fall and a big performance at this year’s Conference on Empirical Methods in Natural Language Processing (EMNLP), ML@GT is becoming a major player in the field. With 10 papers accepted… Continue reading ML@GT Further Establishes Itself in Natural Language Processing Community

Being Polite Can Be Essential to Getting a Loan

How can someone be persuaded to loan money to a random stranger on the internet? Does the requestor need to be polite or explain the impact the loan would have? Or perhaps they should demonstrate their credibility or use facts to help others understand their need. Does one of these strategies lead to success more… Continue reading Being Polite Can Be Essential to Getting a Loan

ML@GT Introduces Machine Learning and AI Cluster at INFORMS Conference

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

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

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

New Algorithm Follows Human Intuition to Make Visual Captioning More Grounded

Annotating and labeling datasets for machine learning problems is an expensive and time-consuming process for computer vision and natural language scientists. However, a new deep learning approach is being used to decode, localize, and reconstruct image and video captions in seconds, making the machine-generated captions more reliable and trustworthy. To solve this problem, researchers at… Continue reading New Algorithm Follows Human Intuition to Make Visual Captioning More Grounded

ML@GT to Present Nine Papers at Competitive Machine Learning Conference

The International Conference on Machine Learning (ICML) received nearly 5,000 submissions for its 2020 conference and accepted 1,088 papers. Machine Learning Center at Georgia Tech (ML@GT) researchers authored nine accepted papers. The papers explore topics like privacy, semantics in predictive agents, data science, and artificial intelligence. One paper, Boosting Frank-Wolfe by Chasing Gradients, proposes a new state-of-the-art algorithm for constrained… Continue reading ML@GT to Present Nine Papers at Competitive Machine Learning Conference

New Study Explores Sentiment Around Electric Vehicles, Leading to Faster Government Response and More Infrastructure

Policy makers have long been wanting to improve infrastructure needed for the adoption of electric vehicles (EV), but with mass amounts of unstructured data they have been unable to determine how charging stations are performing and where more need to be added, according to a recent study from Georgia Institute of Technology researchers. Researchers in… Continue reading New Study Explores Sentiment Around Electric Vehicles, Leading to Faster Government Response and More Infrastructure

Tech Designed to Help Assistive Robots Work More Closely with Patients

Artificially intelligent (AI) systems are continuously improving their understanding of physical human activities such as running, jumping, and biking. Yet, much of people’s lives are spent resting in bed.  Researchers at the Georgia Institute of Technology and Stanford University have developed an AI-enabled smart bed and synthetic data set to study people at rest. The… Continue reading Tech Designed to Help Assistive Robots Work More Closely with Patients

Georgia Tech Researchers Presenting Work Virtually at Top AI Conference Due to COVID-19

Due to the rapid spread of coronavirus (COVID-19) and resulting travel restrictions, Georgia Tech students and faculty will now be presenting their research virtually at the International Conference on Learning Representations (ICLR), one of the biggest artificial intelligence (AI) conferences in the world, April 25 through 30. With 17 papers to present, researchers will create a… Continue reading Georgia Tech Researchers Presenting Work Virtually at Top AI Conference Due to COVID-19