Research by a University of Arizona PhD candidate in electrical and computer engineering could make always-available wireless connections a reality using a new combination of artificial intelligence and algorithms.
Hamed Asadi thinks machines can learn a lot from humans.
The UA graduate research assistant's work in cognitive radio engines, or CEs, often draws parallels between an infant's growth into adulthood and an engine’s artificial intelligence: going so far as to label the four progressive learning stages of a CE "infant, childhood, teenager and adult."
"In the infant stage, the engine has a lot to learn and is at its most unstable," Asadi said. "By the time it reaches the adult stage, the engine has learned most of what it needs to maintain a steady link and perform optimally."
Asadi's training algorithm even incorporates what he calls the "forgetfulness factor," allowing the engine to delete or forget older, less... Read Complete Article