Abstract: The present description relates to a method based on artificial intelligence to implement a wide range of microelectronic circuits that can adapt by themselves to the usage conditions (e.g. loading changes), manufacturing variances or defects (e.g. process variations, device parameter mismatches, device model inaccuracies or changes, etc.), as well as environmental conditions (e.g. voltage, temperature, interference) in order to negate all or part of their effects on the circuit performance characteristics and achieve a very tight set of specifications over the wide range of conditions. Each microelectronic circuit is represented by a neural network model whose behavior is a function of the actual input signals, the usage and environmental conditions.

Abstract: In one preferred embodiment, a hands free hair dryer having a body in which are disposed a fan and a heating element, the body being mounted on a wall or the edge of a door. An infinitely positionable, self-supporting hose has a proximal end attached to the outlet of the body and a distal end selectively disposed to direct a stream of hot air toward the head of a user. Alternatively, the heating element may be disposed in the distal end of the hose. In another embodiment, the body is replaced with a housing within which the outlet nozzle of a conventional hand held air dryer is releasably secured.

Abstract: In one preferred embodiments, a hands free hair dryer having a body in which are disposed a fan and a heating element, the body being mounted on a wall or the edge of a door. An infinitely positionable, self-supporting hose has a proximal end attached to the outlet of the body and a distal end selectively disposed to direct a stream of hot air toward the head of a user. Alternatively, the heating element may be disposed in the distal end of the hose. In another embodiment, the body is replaced with a housing within which the outlet nozzle of a conventional hand held air dryer is releasably secured.