Evolving Artificial Neural Networks IEEE
GRS prof’s work has remote sensing, mobile robot implications
By Amy Laskowski
Recently named IEEE fellow Gail Carpenter, a GRS professor, says she enjoys working with engineers because they "appreciate the notion that the brain is a working model." Photo by Kalman Zabarsky
Gail Carpenter is not an electronics engineer, but that didn’t stop the Institute of Electrical and Electronics Engineers (IEEE) from offering her afellowship. Carpenter, a Graduate School of Arts & Sciences professor of cognitive and neural systems and of mathematics, received the honor earlier this month for her development of the adaptive resonance theory (ART) and modeling of Hodgkin-Huxley neurons, both of which play a crucial role in neuroscience. ART can be used to model how the brain or a machine can quickly learn, remember, and recognize objects and events, and it can be applied to challenging engineering problems.
“I enjoy working with engineers, ” says Carpenter. “Engineers appreciate the notion that the brain is a working model, and they’re used to having mathematical models that describe what they are trying to build and to predict what the bridge can hold or where the rocket will go.”
Source: Women in Science and Engineering
Evolving Intelligent Systems: Methodology and Applications (IEEE Press Series on Computational Intelligence)
Book (Wiley-IEEE Press)
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