Tags: machine learning
As machine learning techniques and the reach of large language models (LLMs) become integrated into leading-edge research projects that span the university, the Institute for Artificial Intelligence is creating early leverage for collaborative faculty projects to access greater external support. Four university-wide research projects have been awarded seed grants under the new initiative:
“Artificial intelligence is not just about creating…
A new interdisciplinary project at the interface of philosophy, linguistics, cognitive science, and artificial intelligence seeks to explore the complicated relationship between human and machine translation. The project, led by professor of philosophy Yuri Balashov, is supported by an NSF Scholar's Award.
"Translation from one language into another is a difficult and cognitively intense process requiring a broad set of linguistic and non-…
Advances in Artificial Intelligence, both the capability of machine learning and the cultural impacts of large language models, took center stage at a UGA symposium at the end of November.
Key note speaker Ian Bogost shared many of his experiences utilizing new AI tools and grappling with some of the challenges they present. Our colleagues share the story:
Bogost, Barbara and David Thomas Distinguished Professor at Washington University in St.…
A person with COVID-19 might transmit SARS-CoV-2 to domestic cats and dogs (and perhaps other pets) in the same way that an infected animal could possibly transmit it to another individual. In addition, lions, tigers, pumas, snow leopards and non-human primates from zoos or wildlife refuges in the U.S. and other countries have been confirmed infected with SARS-CoV-2, while infections have also been reported in white-tailed deer, both wild and…
A University of Georgia research team has confirmed evidence of a previously unknown planet outside of our solar system, and they used machine learning tools to detect it.
A recent study by the team showed that machine learning can correctly determine if an exoplanet is present by looking in protoplanetary disks, the gas around newly formed stars.
The newly published findings represent a first step toward using machine learning to…
New research from the University of Georgia reveals that artificial intelligence can be used to find planets outside of our solar system. The recent study demonstrated that machine learning can be used to find exoplanets, information that could reshape how scientists detect and identify new planets very far from Earth.
“One of the novel things about this is analyzing environments where planets are still forming,” said Jason Terry, doctoral…
In the context of dynamic programming, the curse of dimensionality refers to various phenomena that arise when analyzing and organizing data with hundreds or thousands of dimensions. In order to obtain a statistically sound and reliable result, the amount of data needed to support the result often grows exponentially with the dimensionality.
In a recent paper published in the proceedings of the prestigious machine learning and…
An international research team that includes assistant professor of anthropology and geography Suzanne Pilaar Birch has been awarded Arts and Humanities Research Council UK funding for their four-year project on Radical Death and Early State Formation in the Ancient Near East.
Using new evidence from the Early Bronze Age graves of Başur Höyük, on the Upper Tigris, the project will examine how ritual killing was implicated in…