ML@GT Announces Spring 2020 Seminar Schedule

Each semester, hundreds of students, faculty, and external guests are treated to talks by some of the world’s most renowned scientists. This spring, the Machine Learning Center at Georgia Tech (ML@GT) will host six talks as a part of its Spring Seminar Series. Speakers come from industry and academia, giving attendees exposure to problems being … Continue reading ML@GT Announces Spring 2020 Seminar Schedule

Meet ML@GT: What Yao Xie Has Learned On Her Journey to Becoming a Successful Professor and Mother

At the Machine Learning Center at Georgia Tech (ML@GT), we’re lucky to have over 150 faculty members affiliated with our mission. With faculty from all six colleges on Georgia Tech’s campus plus several from Georgia Tech Research Institute (GTRI) and the Enterprise Innovation Institute (EI2), our professors bring a broad range of skills and areas … Continue reading Meet ML@GT: What Yao Xie Has Learned On Her Journey to Becoming a Successful Professor and Mother

Snapshots from NeurIPS2019

What once started as a small conference with a few hundred people interested in neural information processing systems has over the years turned into one of the largest artificial intelligence conferences in the world. This year, over 13,000 people attended the 33rd conference on Neural Information Processing Systems (NeurIPS) in Vancouver, British Columbia. Over the … Continue reading Snapshots from NeurIPS2019

Explaining Blended Matching Pursuit: A Multi-Purpose AI Algorithm

By Cyrille Combettes This is an informal summary of our recent paper Blended Matching Pursuit with my advisor Sebastian Pokutta. It will be presented at the Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, British Columbia, Dec. 8-14, 2019. In this post, we motivate and explain the main ideas behind the design of our … Continue reading Explaining Blended Matching Pursuit: A Multi-Purpose AI Algorithm

12 Questions with Aleksandra Faust on Finding the Right Career and Being Resilient in AI

The Machine Learning Center at Georgia Tech’s Seminar Series draws leading researchers from across academia and industry each semester to present on current topics in machine learning and artificial intelligence, applications for the technologies, and related insights and experiences. The popular series averages more than 100 attendees for each talk. This fall, five experts give talks across … Continue reading 12 Questions with Aleksandra Faust on Finding the Right Career and Being Resilient in AI

Making Artificial Intelligence Work in a Changing Environment

By Adrian Rivera Cardoso and He Wang Machine learning (ML) is changing our lives. We can instantly translate from one language to another, search entire libraries in a matter of seconds, and even prevent credit card fraud. ML’s success is mostly due to the power of artificial neural networks — a machine learning model inspired … Continue reading Making Artificial Intelligence Work in a Changing Environment

Explaining Nonparametric Regression on Low Dimensional Manifolds using Deep Neural Networks

By Minshuo Chen Background and Motivation Deep learning has made significant breakthroughs in various real-world applications, such as computer vision, natural language processing, healthcare, robotics, etc. In image classification, the winner of the $latex 2017$ ImageNet challenge retained a top-$latex 5$ error rate of $latex 2.25\% $ [1], while the data set consists of about … Continue reading Explaining Nonparametric Regression on Low Dimensional Manifolds using Deep Neural Networks