Abstract: Apparatuses, systems, and techniques to execute one or more application programming interfaces (APIs) to perform one or more operations for one or more accelerators within a heterogeneous processor. In at least one embodiment, one or more processors are to perform one or more instructions in response to one or more APIs to indicate one or more functions to be performed in response to one or more errors from one or more accelerators within a heterogeneous processor.

Abstract: A computer-implemented method for extracting data from separate databases and loading the data into a central data store without introducing additional security vulnerabilities is disclosed. The method begins by receiving a configuration comprising one or more transformation functions to be applied to one or more data fields. Values of the one or more data fields are extracted from the databases for a plurality of records, the values being previously tagged with metadata indicating at least a datatype for the values. Based at least in part on the configuration and the metadata tagging, a function from the one or more transformation functions is selected for each value. A second database with a central data store is populated with transformed data. Requestors are not permitted to access to pre-transformed data in the first one or more databases while being allowed access to at least some post-transformed data in the central data store.

Abstract: The present disclosure relates generally to artificial intelligence (AI), machine learning (ML), and deep learning technologies. More specifically, the disclosure relates to a vehicle image composite system that employs computer vision (CV) along with a Generative Adversarial Network (GAN) to generate realistic composite car images. For example, in one or more embodiments, the composite car image generator system trains a Convolutional Neural Network (CNN) to learn the Make Model Year parameters of all vehicle images provided. Once trained, the determined Make Model Year parameters of the vehicles allow the CNN to produce realistic composite images of a vehicle of any make, model, year, and trim level.

Abstract: Apparatuses, systems, and techniques to execute one or more application programming interfaces (APIs) to perform one or more operations for one or more accelerators within a heterogeneous processor. In at least one embodiment, one or more processors are to perform one or more instructions in response to one or more APIs to transfer information between memory of two or more accelerators.

Abstract: Apparatuses, systems, and techniques to execute one or more application programming interfaces (APIs) to perform one or more operations for one or more accelerators within a heterogeneous processor. In at least one embodiment, one or more processors are to perform one or more instructions in response to one or more APIs to indicate one or more operations in a sequence of operations to be performed by one or more accelerators within a heterogeneous processor.

Abstract: Apparatuses, systems, and techniques to execute one or more application programming interfaces (APIs) to perform one or more operations for one or more accelerators within a heterogeneous processor. In at least one embodiment, one or more processors are to perform one or more instructions in response to one or more APIs to indicate one or more memory regions to store error information from one or more accelerators within a heterogeneous processor.

Abstract: Apparatuses, systems, and techniques to execute one or more application programming interfaces (APIs) to perform one or more operations for one or more accelerators within a heterogeneous processor. In at least one embodiment, one or more processors are to perform one or more instructions in response to one or more APIs to indicate one or more functions to be performed in response to one or more errors from one or more accelerators within a heterogeneous processor.

Abstract: Indications of sample machine learning models which create synthetic content items are provided via programmatic interfaces. A representation of a synthetic content item produced by one of the sample models in response to input obtained from a client of a provider network is presented. In response to a request from the client, a machine learning model is trained to produce additional synthetic content items.

Abstract: A blood pump system including an optical sensor configured to detect an optical signal during pumping operation of the blood pump, and an optical fiber configured to transmit the optical signal from the optical fiber sensor to an evaluation device communicatively coupled to the optical fiber sensor. The evaluation device is configured to receive as inputs the transmitted optical signal and a signal indicative of the motor current and determine a mechanical failure event associated with the blood pump based on the motor current and the optical signal.

Abstract: The present disclosure relates generally to artificial intelligence (AI), machine learning (ML), and deep learning technologies. More specifically, the disclosure relates to a vehicle image composite system that employs computer vision (CV) along with a Generative Adversarial Network (GAN) to generate realistic composite car images. For example, in one or more embodiments, the composite car image generator system trains a Convolutional Neural Network (CNN) to learn the Make Model Year parameters of all vehicle images provided. Once trained, the determined Make Model Year parameters of the vehicles allow the CNN to produce realistic composite images of a vehicle of any make, model, year, and trim level.

Abstract: A blood pump system including an optical sensor configured to detect an optical signal during pumping operation of the blood pump, and an optical fiber configured to transmit the optical signal from the optical fiber sensor to an evaluation device communicatively coupled to the optical fiber sensor. The evaluation device is configured to receive as inputs the transmitted optical signal and a signal indicative of the motor current and determine a mechanical failure event associated with the blood pump based on the motor current and the optical signal.

Abstract: Apparatuses, systems, and techniques to perform multi-architecture execution graphs. In at least one embodiment, a parallel processing platform, such as compute uniform device architecture (CUDA) generates multi-architecture execution graphs comprising a plurality of software kernels to be performed by one or more processor cores having one or more processor architectures.

Abstract: Indications of sample machine learning models which create synthetic content items are provided via programmatic interfaces. A representation of a synthetic content item produced by one of the sample models in response to input obtained from a client of a provider network is presented. In response to a request from the client, a machine learning model is trained to produce additional synthetic content items.

Abstract: Methods and apparatus for providing metrics for the quality, attributes, and relationships of music including AI-generated music. Music classification and visualization methods are described that involve transforming music files into graphical representations, generating a similarity matrix for the music files using structural similarity techniques, and generating visualizations of the relationships among the music files using multidimensional scaling techniques. Qualitative scoring methods for AI-generated music are described that involve classifying the AI-generated music using a multi-genre classifier, generating a similarity metric for the AI-generated music to other genres using structural similarity techniques and multidimensional scaling techniques, and generating a qualitative score for the music using confidence in the classification in combination with the similarity metric.

Abstract: A blood pump system including an optical sensor configured to detect an optical signal during pumping operation of the blood pump, and an optical fiber configured to transmit the optical signal from the optical fiber sensor to an evaluation device communicatively coupled to the optical fiber sensor. The evaluation device is configured to receive as inputs the transmitted optical signal and a signal indicative of the motor current and determine a mechanical failure event associated with the blood pump based on the motor current and the optical signal.

Abstract: A selective catalytic reduction including a decomposition section including an intake chamber, with a swirl generating plate disposed in an internal volume of the intake chamber. The swirl generating plate includes a curved sidewall, a first end defining an opening, and a second end. The curved sidewall is oriented substantially normal to the direction of an intake flow of exhaust gas and a convex surface of the curved sidewall is oriented to face the direction of the intake flow. The swirl generating plate is configured to divide the intake flow into a first flow portion flowing through the opening, a second and a third flow portion which are directed substantially normal to the direction of intake flow and the flow direction of the first flow portion, and in opposite directions to each other towards a backwall of the intake chamber so as to create opposing swirls.

Abstract: A rich media notice board enables users to communicate with others in their own and related communities who use the rich media notice board or other rich media notice boards, such as those in related communities, as well as with others who use conventional interfaces via the Internet. The users of the rich media notice board can post notices including text, images, audio, and video to the rich media notice board. The notices may also include usage metaphors that may allow users to relate to the notices. A user interface of the rich media notice board may employ the usage metaphors to provide an interface that may be used by users who may not read or write with sufficient proficiency to otherwise use a computer. The users may access the rich media notice boards from computers, mobile phones, and kiosk systems.

Abstract: A rich media notice board enables users to communicate with others in their own and related communities who use the rich media notice board or other rich media notice boards, such as those in related communities, as well as with others who use conventional interfaces via the Internet. The users of the rich media notice board can post notices including text, images, audio, and video to the rich media notice board. The notices may also include usage metaphors that may allow users to relate to the notices. A user interface of the rich media notice board may employ the usage metaphors to provide an interface that may be used by users who may not read or write with sufficient proficiency to otherwise use a computer. The users may access the rich media notice boards from computers, mobile phones, and kiosk systems.

Abstract: A selective catalytic reduction including a decomposition section including an intake chamber, with a swirl generating plate disposed in an internal volume of the intake chamber. The swirl generating plate includes a curved sidewall, a first end defining an opening, and a second end. The curved sidewall is oriented substantially normal to the direction of an intake flow of exhaust gas and a convex surface of the curved sidewall is oriented to face the direction of the intake flow. The swirl generating plate is configured to divide the intake flow into a first flow portion flowing through the opening, a second and a third flow portion which are directed substantially normal to the direction of intake flow and the flow direction of the first flow portion, and in opposite directions to each other towards a backwall of the intake chamber so as to create opposing swirls.

Abstract: The disclosure relates to a method of detecting analytes using non-aromatic dendritic macromolecules. The inherent photoluminescence of dendrimers are utilized to detect analytes which are electron deficient in nature.