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Who wants to get 'chipped'?

USATODAY - Tech Top Stories

Jefferson Graham talks to consumers about potential uses for having a microchip embedded in your body on #TalkingTech. Charlene Li wants to be chipped. "I am so ready," says the long-time author and principal analyst for the Altimeter Group. She's referring to having a microchip embedded in her body, one that would do many of the things her smartphone could do now. This week science fiction came to the heartland when a small Wisconsin company announced that it would begin implanting microchips into employees hands.


Improvisation and Learning

Franklin, Judy A.

Neural Information Processing Systems

This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Entity. In phase 1 of training, recurrent back-propagation trains the machine to reproduce 3 jazz melodies. The recurrent network is expanded and is further trained in phase 2 with a reinforcement learning algorithm and a critique produced by a set of basic rules for jazz improvisation.


Improvisation and Learning

Franklin, Judy A.

Neural Information Processing Systems

This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Entity. In phase 1 of training, recurrent back-propagation trains the machine to reproduce 3 jazz melodies. The recurrent network is expanded and is further trained in phase 2 with a reinforcement learning algorithm and a critique produced by a set of basic rules for jazz improvisation.


Improvisation and Learning

Franklin, Judy A.

Neural Information Processing Systems

This article presents a 2-phase computational learning model and application. Asa demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Entity. In phase 1 of training, recurrent back-propagationtrains the machine to reproduce 3 jazz melodies. The recurrent network is expanded and is further trained in phase 2 with a reinforcement learning algorithm and a critique produced by a set of basic rules for jazz improvisation.