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CI Fellow Rebecca Faust brings expertise on human-AI interaction methods for dimension reduction to Sanghani Center work with Chris North

A 2021 Computing Innovation (CI) Fellow, postdoc Rebecca Faust, has been working with Chris North, professor in computer science and associate director at the Sanghani Center for Artificial Intelligence and Data Analytics, since January. They are exploring how to create explanations of the effects of semantic interactions on a deep learning model through the analysis of perturbations and […]

Naveen Gupta

Naveen Gupta was a master’s degree student in the Department of Computer Science. His advisor was Anuj Karpatne. Gupta is currently working in the physics guided machine learning field. He is focusing on training under parameterized neural network supervised by the loss in a transformed space.

Virginia Tech and Amazon establish machine learning research partnership

Virginia Tech and Amazon are partnering to advance research and innovation in artificial intelligence and machine learning. The Amazon – Virginia Tech Initiative for Efficient and Robust Machine Learning will include machine learning-focused research projects, doctoral student fellowships, community outreach, and an establishment of a shared advisory board. “This partnership affirms the value of our […]

Scientists partner on multi-university grant to establish a field of ‘imageomics’

Researchers in three different disciplines at Virginia Tech are partnering in a $15 million grant from the National Science Foundation (NSF) to establish an institute in the new field of “imageomics,” aimed at creating a new frontier of biological information using vast stores of existing image data, such as publicly funded digital collections from national centers, field stations, museums, and […]

Scientists partner on multi-university grant to establish a field of ‘imageomics’

Researchers in three different disciplines at Virginia Tech are partnering in a $15 million grant from the National Science Foundation (NSF) to establish an institute in the new field of “imageomics,” aimed at creating a new frontier of biological information using vast stores of existing image data, such as publicly funded digital collections from national centers, field stations, museums, and […]

Virginia Tech team selected as finalist in Alexa Prize SimBot Challenge to advance next-generation virtual assistants

A Virginia Tech team from the Sanghani Center for Artificial Intelligence and Data Analytics is one of 10 finalists chosen to compete in the Alexa Prize SimBot Challenge. The challenge focuses on advancing the development of next-generation virtual assistants that continuously learn and gain the ability to perform common sense reasoning to help humans complete real-world tasks. “The SimBot […]

Inferring Commonsense Explanations as Prompts for Future Event Generation

Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger’s Equation

Sanghani Center Student Spotlight: Kylie Davidson

Focused on using virtual/augmented reality for day-to-day productivity tasks, Kylie Davidson is investigating how immersive technologies can be used during sensemaking.  “The goal is to add computational analytics to our software prototype to assist the user in real-time while they complete a sensemaking task,” she said. After graduating with a bachelor’s degree in computer science from […]

Ismini Lourentzou awarded NSF grant to develop infrastructure for more effective AI in U.S. manufacturing industry

Because artificial intelligence benefits from training on large datasets, trying to implement AI within the U.S. manufacturing industry poses a critical problem, according to Ismini Lourentzou, assistant professor in the Department of Computer Science and faculty at the Sanghani Center for Artificial Intelligence and Data Analytics. “Manufacturers not only tend to be slow and repetitive with data collection efforts, but […]