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Policy gradients methods are perhaps the most widely used class of reinforcement learning algorithms. These methods apply to complex, poorly understood, control problems by performing stochastic…

Computational Systems Biology & Bioinformatics including the development of algorithms and their application to proteomes for the prediction of protein structure and function, the prediction of…

Nicoleta Serban's research interests on Health Analytics span various dimensions including large-scale data representation with a focus on processing patient-level health information into data…

Sleep is a fundamental biological process, and its disruption has profound impacts on human health. Using a variety of techniques including optogenetics, electrophysiology, imaging, and gene…

The change-point detection problem seeks to identify distributional changes in streams of data. Increasingly, tools for change-point detection are applied in settings where data may be highly…

The GVU Center and the Institute for People and Technology (IPaT), with additional support from GTRI support two separate types of grant proposals. Research Grants provide seed funding for new…

Bionic is a landscape architecture and urban design practice in founded on the mandate to “enable life” in an increasingly complicated and changing world. After a decade of acting on…

Over the past decade, Europe has seen a rise in the popularity of right-wing populist parties and Germany has been no exception. While the AfD (Alternative für Deutschland) began as an anti-EU…

One of the most fundamental problems in learning theory is to view input data as random samples from an unknown distribution and then to make statistical inferences about the underlying distribution.…

For several decades, Elizabeth Loftus has been manufacturing memories in unsuspecting minds. Sometimes these techniques change details of events that someone actually experienced. Other times, the…

Equity in Architecture at Georgia Tech is hosting their second annual Forum. This year's theme is Show, Tell, and Do. Julia Gamolina, our keynote speaker, will speak on gender and minority…

There is increasing excitement about reinforcement learning--a subarea of machine learning for enabling an agent to learn to make good decisions. Yet numerous questions and challenges remain for…

Mining biomedical text can be useful for validating new disease subgroups or summarizing information to guide policies and decision making. Yet, existing work predominately focuses on efficient…

The artificial intelligence industry is in the midst of a crisis in diversity and inclusion: while the representation of women in computer science recently fell below levels in the 1960s, inclusion…

Physicist Richard Feynman is generally credited with formulating the concepts that seeded nanotechnology in his 1959 talk, “There’s Plenty of Room at the Bottom.” In this talk,…