If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

From large language models to brain-machine interfaces, students work with faculty on cutting-edge research. UT College of Natural Sciences undergraduates Prasann Singhal, Nihita Sarma, Shankar ...

The National Science Foundation has selected UT Austin to lead the NSF AI Institute for Foundations of Machine Learning. The NSF AI Institute for Foundations of Machine Learning and the Machine ...

Using data from historic ship measurements and Argo floats, researchers introduced a machine learning technique that improves assessment and analysis of the ocean's declining oxygen levels. Oxygen is ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

Machine-learning models are quickly becoming common tools in scientific research. These artificial-­intelligence systems are helping bioengineers discover new potential antibiotics, veterinarians ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Karin Verspoor receives funding from the Australian Research Council, the Medical Research Future Fund, the National Health and Medical Research Council, and Elsevier BV. She is affiliated with ...

New research proposes a way to predict and prevent temperature spikes and fires in the lithium-ion batteries commonly used to power electric vehicles. One of the most critical safety concerns for ...