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In recent discoveries, Texas Engineers have developed artificial neurons — the messenger cells that send signals from the organism's brain to the body — made of magnetic materials. They’ve done so in a way that they can control these artificial neurons with more precision and with a longer life cycle than anything that has come before, further advancing the field of neuromorphic computing.

Three professors at UT in different disciplines have come together in hopes of drastically improving the hunt for adenomas and other colorectal disease: one a surgeon at Dell Med, one in mechanical engineering, and one in electrical engineering. And they’re deploying artificial intelligence in the hunt.

Texas Engineers will develop next-generation semiconductor technologies as part of a collaboration of the National Science Foundation and leading industry companies. NSF and partners Ericsson, Intel Corporation, Micron Technology and Samsung awarded $42.4 million for its Future of Semiconductors (NSF FuSe2) competition. Four of the 23 projects picked for this program were either led or supported by faculty members from the Cockrell School.

Texas ECE professors Jean Anne Incorvia and Lizy John have each received a Future of Semiconductors (FuSe2) grant. The FuSe2 program Supports collaborative research and education in partnership with industry on domain-specific computing, heterogenous integration, and new materials for energy-efficient, enhanced-performance and sustainable semiconductor-based systems.

Prof. Radu Marculescu of Texas ECE is exploring machine unlearning for image-to-image generative models. He called the field a kind of “counterculture” in a field that is otherwise obsessively dedicated to adding information to get better results.

Prof. Lizy John has been elected a fellow of the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society.

A new National Institutes of Health-funded project by three scientists at The University of Texas at Austin and University of Rhode Island aims to shed light on real-world eating behaviors, using AI-enabled wearable technology.

Jean Anne Incorvia of Texas ECE has been unveiled as the first recipient of the Applied Physics Letters (APL) Rising Star Award recognizing her impactful contributions to the field. The award recognizes the work of Incorvia and her research group on "Stochastic domain wall-magnetic tunnel junction artificial neurons for noise resilient spiking neural networks," in Applied Physics Letters, June 2023. Students Thomas Leonard, Samuel Liu, and Harrison Jin were co-authors on the paper.

Two new papers from the research group of Jean Anne Incorvia, a professor in the Cockrell School of Engineering’s Chandra Family of Electrical and Computer Engineering, aim to contribute to both of these scientific needs. Together, they offer improvements on current semiconductor technology as well as a nimbler building block to the next generation of computers that think like the human brain.

Neeraja Yadwadkar of Texas ECE has been named a recipient of an Amazon Research Award for her work on "Easy-to-use and cost-efficient distributed inference serving."