05/17/2024 -
Researchers are using corrupted data to help generative AI models avoid the misuse of images under copyright.
Powerful new artificial intelligence models sometimes, quite famously, get things wrong — whether hallucinating false information or memorizing others’ work and offering it up as their own. To address the latter, researchers led by a team at The University of Texas at Austin have developed a framework to train AI models on images corrupted beyond recognition.
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03/14/2024 -
Researchers at The University of Texas at Austin have developed innovative tools, including an AI system and glowing biosensors, to engineer microbes for the large-scale production of galantamine, a crucial medication for Alzheimer's and dementia. This breakthrough method promises a reliable, cost-effective supply unaffected by factors like weather or crop yields.
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08/26/2020 -
The National Science Foundation has selected The University of Texas at Austin to lead NSF AI Institute for Foundations of Machine Learning, bolstering the university’s existing strengths in this emerging field. Machine learning is the technology that drives AI systems, enabling them to acquire knowledge and make predictions in complex environments. This technology has the potential to transform everything from transportation to entertainment to health care.
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