Machine Learning

What is Machine Learning?

Machine learning aims to produce machines that can learn from their experiences and make predictions based on those experiences and other data they have analyzed. The Machine Learning Center at Georgia Tech (ML@GT) is an Interdisciplinary Research Center that is both a home for thought leaders and practitioners and a training ground for the next generation of pioneers.

The field of machine learning crosses a wide variety of disciplines that use data to find patterns in the ways both living systems, such as the human body and artificial systems, such as robots, are constructed and perform. Whether it’s being applied to analyze and learn from medical data, or to model financial markets, or to create autonomous vehicles, machine learning builds and learns from both algorithm and theory to understand the world around us and create the tools we need and want.

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Recent News

Students Earn Prestigious Fellowships Underscoring Institute’s Leadership in AI

Two Georgia Tech Ph.D. students are being recognized for their innovative research with J.P. Morgan AI Research Fellowships.
Breakthrough Scaling Approach Cuts Cost, Improves Accuracy of Training DNN Models

School of Computer Science researchers have developed a new framework that advances federated learning, a distributed, real-time approach for training deep neural network models. The new framework enables remote clients to equitably participate in training regardless of their computing resources.
Like Humans and Animals, AI Agents Find Their Way Through Memory

A recent paper authored by Georgia Tech researchers makes a surprising discovery — blind AI agents use memory to create maps and navigate through their surrounding environment.
Examining the Boundaries of Using AI 'Sensing' to Understand Office Workers’ Performance and Wellbeing

Researchers at Georgia Tech and Northeastern University conducted a study with information workers to learn about their perspectives on being monitored and their information being collected with passive-sensing enabled artificial intelligence (PSAI), where computing devices can unobtrusively detect and collect user behaviors.