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Oracle International Corporation

Yi Sun Huang

Jonathan J Huang

Peter B Kessler

David Leibs

Joshua Huang

A method and program product includes scanning for at least one identification means of an object. An image of the object is captured. An identification associated with the image and the image are communicated to a training system. The training system is configured for at least training a neural network system with identifications and images to produce synaptic weights. Synaptic weights are received from the training system. A predicted identification from a captured image of an object is predicted. The predicting uses at least the synaptic weights.

Machine learning system, method, and program product for point of sale systems

Methods and system for providing synchronization of a multi-threaded application includes analyzing a source file of the application to identify one or more synchronization annotations contained therein, wherein the synchronization annotations are defined using declarative statements. One or more synchronization annotation processors are identified and invoked for processing the one or more synchronization annotations identified in the source file so as to generate code files. The source file is compiled to generate one or more class files by compiling the procedural code within the source file to generate one or more class files, and compiling the code files to generate the one or more class files. The class files associated with the code files are used by the multiple threads during execution of the application to arbitrate access to methods and data manipulated by classes within the class files associated with the procedural code.

Method and apparatus for synchronization annotation

A smart system includes a connector plug that fits into a bulb socket; a processor to control the smart system; and at least one of a receiver and a transmitter coupled to the processor for receiving or transmitting data.

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Cupertino, CA, United States of America

Yi Sun Huang