Professor of Bioengineering and Neurosciences; Founding Director, Center for Engineered Natural Intelligence, University of California San Diego
I am a Professor in the Department of Bioengineering and the Department of Neurosciences at the University of California San Diego, the Founding Director of the Center for Engineered Natural Intelligence, and a Jacobs Faculty Fellows Endowed Scholar. My other academic appointments include affiliated faculty member in the Department of NanoEngineering, and a faculty member in the BioCircuits Institute, the Neurosciences Graduate Program, Computational Neurobiology Program, and Institute for Neural Computation, and San Diego Super Computer Center. Our lab's research is focused at the intersection of mathematics, physics, and engineering in order to understand how the biological brain learns, represents, and processes complex information, what happens when there is a breakdown in neurological disorders, and how we can use what we learn to develop novel neural derived models and algorithms for next generation machine learning and artificial intelligence, beyond the current state of the art. Related is work we are doing using algebraic topology and graph theory to analyze and model both complex neural data and machine-generated data.
Neuroscience and artificial intelligence can help improve each other
Jul 10, 2019 03:10 am UTC| Insights & Views Technology Science
Despite their names, artificial intelligence technologies and their component systems, such as artificial neural networks, dont have much to do with real brain science. Im a professor of bioengineering and neurosciences...
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