Designing Computers Through Artificial Evolution
Exhibit Code: GLE-305
Zone: Engineering Park
Location: James E. Gleason Hall (GLE/009) - 3430
Time: All Day
The robustness, adaptability, and intelligence of biological systems are extraordinary consequences of natural evolution. Biological organisms can tolerate a large number of defects, function with a large degree of internal and environmental variation or noise, adapt through learning processes, and make intelligent decisions by associating past experiences with current objectives. Humans have attempted – with little success – to replicate these qualities in analog and digital ICs using conventional design methods. This research explores the use of artificial evolution (crossover, mutation, and selection) as an alternative design method for adaptive computer architectures. Visitors will learn about an exciting new design approach for biologically-inspired computer architectures.
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