Anthony Thomas is an Assistant Teaching Professor in Electrical and Computer Engineering at UC Davis. He specializes in bridging the gap between hardware design and data science theory, with a focus on developing energy-efficient AI algorithms. He earned his PhD in Computer Science from UC San Diego.
His research focuses on developing trustworthy and reliable AI by exploring the intersection of computer engineering and theoretical computer science. He has a particular interest in algorithms that can operate under significant physical constraints, such as on remote environmental sensors with limited power and connectivity.
He wrote his doctoral thesis on Hyperdimensional Computing, an approach to AI inspired by theoretical neuroscience that uses long sequences of random numbers.
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