By Mark Riedl, Associate Professor at Georgia Tech On Friday, December 28th Netflix aired a special episode of their Black Mirror series called Bandersnatch. What made Bandersnatch interesting is that it was an interactive story: watchers could use a remote control to choose options at various points throughout the story’s progression to influence character choice and plot progression. (This post does not contain… Continue reading Machine Learning Meets Interactive Stories
Throughout the fall semester, the Machine Learning Center at Georgia Tech was fortunate to bring world-class researchers, academics, and industry professionals to Georgia Tech's campus as a part of our Fall Seminar Series. From using machine learning in retail strategy to few-shot learning to understanding the limitations of artificial intelligence, our guest speakers inspired our… Continue reading Recap: ML@GT Fall Seminar Series
Machine learning is used in just about everything. From healthcare to recruiting to finance, companies are harnessing the power of this technology to improve their businesses. Retail giant, Macy's, is also working to integrate machine learning's capabilities into their strategy. Graham Poliner, Macy's Senior Vice President of Strategy and Analytics, recently visited Georgia Tech's campus… Continue reading How Macy’s Uses Machine Learning in Their Retail Strategy
The Machine Learning Center at Georgia Tech (ML@GT) has had a wide variety of guest speakers for our Fall Seminar Series. With the semester drawing to a close, we thought we would throw it back all the way to the very first seminar this semester. In fact, this seminar occurred on the first day of… Continue reading Deep Learning to Learn
Hugo Larochelle, a researcher at Google Brain, recently visited Georgia Tech's campus as a part of the Machine Learning Center's Fall Seminar Series. Larochelle drew an enormous crowd with students and faculty filling up the room, leaving many audience members standing or sitting on any patch of carpet they could find. During his talk, "Few-shot… Continue reading Few-shot Learning with Meta-Learning: Progress Made and Challenges Ahead
In August 2018, Bryan McCann of Salesforce made the trip from Palo Alto, Calif. to Atlanta, Ga. as a part of the Machine Learning Center at Georgia Tech’s Seminar Series. Students and faculty packed the room to hear McCann present his talk, "The Natural Language Decathlon: Multitask Learning as Question Answering". Abstract Deep learning has improved… Continue reading The Natural Language Decathlon: Multitask Learning as Question Answering
By Yuval Pinter Imagine you’re building a boat, starting from a heap of parts. With each new board or screw, you make sure that it fits the adjacent parts, and that the material type is suitable for the section of the boat it’s in. But there are also bigger concerns to consider - is the… Continue reading How Not to Rock the Semantic Boat
Gregory Diamos of Baidu’s Silicon Valley AI Lab (SVAIL), recently made the trip from Silicon Valley to Atlanta as a part of the Machine Learning Center at Georgia Tech's Seminar Series. Diamos presented his talk, "Reaching Beyond Human Accuracy With AI Datacenters" to a room packed with Georgia Tech students of all levels, faculty members… Continue reading Reaching Beyond Human Accuracy With AI Datacenters
By Ian Stewart The language that people use to communicate online is in constant flux. People may have once written "haha" to indicate laughter but over time have adopted "lol" instead. Entire dictionaries and websites such as UrbanDictionary.com are dedicated to tracking the ebb and flow of the latest slang (i.e. nonstandard) words that propagate… Continue reading What Makes a New Word Stick?
By Zhaoyang Lv We live in a three-dimensional (3D), dynamic world every day. Being able to perceive 3D high-resolution motion is a fundamental ability of our perception system, which enables us to perform versatile jobs. At the age when we are building intelligent robots, autonomous vehicles, and augmented reality toolkits, how can we also enable… Continue reading Learning Rigidity and Scene Flow Estimation
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