By Sarah Wiegreffe and Yuval Pinter Natural language processing (NLP) is the study of how computers learn to represent and make decisions about human communication in the form of written text. This encompasses many tasks, including automatically classifying documents, using machines to translate between languages, or designing algorithms for writing creative stories. Many state-of-the-art systems… Continue reading Explaining Machine Learning Models for Natural Language
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 Cusuh Ham,… Continue reading Meet ML@GT: Cusuh Ham, a World Traveler Focused on Understanding Uncertainty in Machine Learning
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 Abhishek Das, a… Continue reading Meet ML@GT: Abhishek Das Wants to Stop Climate Change and Develop AI Agents with Human-Level Skillsets
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 Harsh Shrivastava, a… Continue reading Meet ML@GT: Harsh Shrivastava
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
The Machine Learning Center at Georgia Tech is responsible for training the next generation of machine learning and artificial intelligence pioneers. Jason Lin, a recent master’s in computer science graduate who specialized in machine learning and robotics, is one of many students the center is thrilled to see thriving in today’s workforce. Currently a research… Continue reading ML@GT Alumni Corner: Jason Lin, Seeking Balance between Research, Application, and Problem Solving on the Go
By Prithviraj Ammanabrolu People affect change in the world all the time using natural language communication. Grounding such communication in real world actions is a well-studied and notoriously complex task, even the data gathering step is difficult. So does there exist a platform on which we could more easily simulate such communication? And the answer… Continue reading Playing Text-adventure Games with an AI
Earning a Ph.D. is no easy task. It involves a lot of time, reading, writing, revising, research, and money. When an advisor and student feel that a student’s thesis has finally reached strong conclusions, it is time to defend it. A successful defense is the key to earning the sacred diploma and is likely something… Continue reading What is a Ph.D. Defense and How To Nail Yours
Every semester the Machine Learning Center at Georgia Tech is thrilled to bring renowned researchers and industry experts to campus as a part of our seminar series. The series allows our students to hear talks from some of the leading minds in machine learning and artificial intelligence. Seminars are typically held every other Wednesday at… Continue reading ML@GT Spring Seminar Series
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
