Abstract: A machine learning system extracts features from images. A system and method predicts appearance type, attractiveness, gender, or ethnicity from a facial image. In a machine learning approach, predictor training is performed by using known data sets containing the classification information for a given facial image into the desired categories. When a new image is presented, the system applies this info to the new image. The training can be performed continuously while the system is being presented with new images and corrective results in a feedback loop. In another machine learning approach, a generative adversarial network is used to predict the desired categories based on the given facial image.

Abstract: A system and method provides a platform to connect individuals for networking among professionals based on interest.

Abstract: A system and method for recommendation engine initialization and new user characterization. An implementation of the platform is a mobile application.

Abstract: A system and method for rejecting obscene content in social media sharing. An implementation of the platform is a mobile application.

Abstract: A system and method for context selection for social networking. An implementation of the platform is a mobile application.

Abstract: A system and method for a platform identifies and connects like-minded individuals based on interaction. An implementation of the platform is a mobile application.

Abstract: A system and method for identification and introduction of like-minded users and forming colonies of users based on their preferences. An implementation of the platform is a mobile application.

Abstract: A system and method for a platform identifies and connects like-minded individuals based on interaction. An implementation of the platform is a mobile application.

Abstract: A system and method for mask data preparation (MDP) uses pixel processing algorithms running on parallel processing platforms such as central processing units (CPUs) and graphical processing units (GPUs). Proximity effects correlation, dose, and bias corrections are performed on a pixel basis. In some embodiments, striping of a decorated database in parallel using multiple graphic processors is performed. While performing a first light path simulation for a first stripe for a mask, a second light path simulation is performed for a second stripe for the mask. Using a result of the striping and first and second light path simulations, dose adjustment during a mask processing on a pixel of the mask is performed.

Abstract: Optical proximity correction techniques performed on one or more graphics processors improve the masks used for the printing of microelectronic circuit designs. Execution of OPC techniques on hardware or software platforms utilizing graphics processing units. GPUs may share the computation load with the system CPUs to efficiently and effectively execute the OPC method steps.

Abstract: In some embodiments, a data processing system including an operation unit including circuitry configurable to perform any selected one of a number of operations on data (e.g., audio data) and a configuration unit configured to assert configuration information to configure the operation unit to perform the selected operation. When the operation includes matrix multiplication of a data vector and a matrix whose coefficients exhibit symmetry, the configuration information preferably includes bits that determine signs of all but magnitudes of only a subset of the coefficients. When the operation includes successive addition and subtraction operations on operand pairs, the configuration information preferably includes bits that configure the operation unit to operate in an alternating addition/subtraction mode to perform successive addition and subtraction operations on each pair of data values of a sequence of data value pairs.

Abstract: Computationally intensive electronic design automation operations are accelerated with algorithms utilizing one or more graphics processing units. The optical proximity correction (OPC) process calculates, improves, and optimizes one or more features on an exposure mask (used in semiconductor or other processing) so that a resulting structure realized on an integrated circuit or chip meets desired design and performance requirements. When a chip has billions of transistors or more, each with many fine structures, the computational requirements for OPC can be very large. This processing can be accelerated using one or more graphics processing units.

Abstract: Optical proximity correction techniques performed on one or more graphics processors improve the masks used for the printing of microelectronic circuit designs. Execution of OPC techniques on hardware or software platforms utilizing graphics processing units. GPUs may share the computation load with the system CPUs to efficiently and effectively execute the OPC method steps.

Abstract: In a class of embodiments, a method and apparatus for detecting freefall of a disk device (thereby predicting that the disk device will likely suffer imminent physical impact) and typically also preventing damage that a disk drive of the device would otherwise suffer if and when a predicted impact occurs. In some embodiments, a disk device includes a freefall detection processor and a CPU. The freefall detection processor is configured to monitor acceleration data to determine whether the disk device is in freefall and to perform at least one other operation (e.g., decoding of MP3-encoded audio data to generate decoded audio data) while the CPU performs at least one other task. Other embodiments pertain to a portable device including a digital audio processing subsystem and an accelerometer.

Abstract: Optical proximity correction techniques performed on one or more graphics processors improve the masks used for the printing of microelectronic circuit designs. Execution of OPC techniques on hardware or software platforms utilizing graphics processing units. GPUs may share the computation load with the system CPUs to efficiently and effectively execute the OPC method steps.

Abstract: Computationally intensive electronic design automation operations are accelerated with algorithms utilizing one or more graphics processing units. The optical proximity correction (OPC) process calculates, improves, and optimizes one or more features on an exposure mask (used in semiconductor or other processing) so that a resulting structure realized on an integrated circuit or chip meets desired design and performance requirements. When a chip has billions of transistors or more, each with many fine structures, the computational requirements for OPC can be very large. This processing can be accelerated using one or more graphics processing units.

Abstract: Optical proximity correction techniques performed on one or more graphics processors improve the masks used for the printing of microelectronic circuit designs. Execution of OPC techniques on hardware or software platforms utilizing graphics processing units. GPUs may share the computation load with the system CPUs to efficiently and effectively execute the OPC method steps.

Abstract: Optical proximity correction techniques performed on one or more graphics processors improve the masks used for the printing of microelectronic circuit designs. Execution of OPC techniques on hardware or software platforms utilizing graphics processing units. GPUs may share the computation load with the system CPUs to efficiently and effectively execute the OPC method steps.

Abstract: In a class of embodiments, a method and apparatus for detecting freefall of a disk device (thereby predicting that the disk device will likely suffer imminent physical impact) and typically also preventing damage that a disk drive of the device would otherwise suffer if and when a predicted impact occurs. In some embodiments, a disk device includes a freefall detection processor and a CPU. The freefall detection processor is configured to monitor acceleration data to determine whether the disk device is in freefall and to perform at least one other operation (e.g., decoding of MP3-encoded audio data to generate decoded audio data) while the CPU performs at least one other task. Other embodiments pertain to a portable device including a digital audio processing subsystem and an accelerometer.

Abstract: In a class of embodiments, a method and apparatus for detecting freefall of a disk device (thereby predicting that the disk device will likely suffer imminent physical impact) and typically also preventing damage that a disk drive of the device would otherwise suffer if and when a predicted impact occurs. In some embodiments, a disk device includes a freefall detection processor and a CPU. The freefall detection processor is configured to monitor acceleration data to determine whether the disk device is in freefall and to perform at least one other operation (e.g., decoding of MP3-encoded audio data to generate decoded audio data) while the CPU performs at least one other task. Other embodiments pertain to a portable device including a digital audio processing subsystem and an accelerometer.