A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

Methods, systems, and apparatus for implementing a hexadecimal to quantum computation translation. In one aspect, a method includes obtaining one or more hexadecimal data inputs; applying a quantum computation translation operation to each hexadecimal data input to generate one or more corresponding sequences of quantum computations; implementing the one or more sequences of quantum computations using quantum computing hardware to obtain one or more corresponding sequence of measurement results; and providing the one or more sequences of measurement results as respective representations of the one or more hexadecimal data inputs.

Methods, systems, and apparatus for implementing a hexadecimal to quantum computation translation. In one aspect, a method includes obtaining one or more hexadecimal data inputs; applying a quantum computation translation operation to each hexadecimal data input to generate one or more corresponding sequences of quantum computations; implementing the one or more sequences of quantum computations using quantum computing hardware to obtain one or more corresponding sequence of measurement results; and providing the one or more sequences of measurement results as respective representations of the one or more hexadecimal data inputs.

A fully pipelined convertToBinaryFromDecimalCharacter hardware operator logic circuit configured to convert one or more human-readable decimal character sequence floating-point representations to IEEE 754-2008 binary floating-point representations every clock cycle. The circuit converts decimal character sequence floating-point representations up to 28 decimal digits in length to IEEE 754 binary64, binary32, or binary16 floating-point format representations.

A fully pipelined convertToBinaryFromDecimalCharacter hardware operator logic circuit configured to convert one or more human-readable decimal character sequence floating-point representations to IEEE 754-2008 binary floating-point representations every clock cycle. The circuit converts decimal character sequence floating-point representations up to 28 decimal digits in length to IEEE 754 binary64, binary32, or binary16 floating-point format representations.

A context-based protection system uses tiered protection structures including master protection units, shared memory protection units, a peripheral protection units to provide security to bus transfer operations between central processing units (CPUs), memory array or portions of arrays, and peripherals.

In implementations of systems for font replacement in print workflows, a computing device implements a print system to receive print request data describing a document having a corpus of text rendered using a font that is not available to the print system. The print system extracts the corpus of text from the document and generates an indication of a context category of the corpus of text using a machine learning model training to classify context categories of text inputs using training data describing a different corpus of text. A replacement font is identified based on the indication of the context category from replacement font data describing a plurality of candidate replacement fonts. The printing system generates a raster image depicting the corpus of text rendered using the replacement font.

A graph information calculation apparatus according to the present disclosure includes: a memory storing instructions; and at least one processor configured to execute the instructions to: receive a graph as an input, calculate a neighborhood structure of a vertex constituting the graph, and calculate a first set having a vertex constituting the calculated neighborhood structure as an element; calculate a path having a vertex constituting the graph as an end point, and calculate a second set having a vertex constituting the calculated path as an element; and convert the first set and the second set into a vector.

A graph information calculation apparatus according to the present disclosure includes: a memory storing instructions; and at least one processor configured to execute the instructions to: receive a graph as an input, calculate a neighborhood structure of a vertex constituting the graph, and calculate a first set having a vertex constituting the calculated neighborhood structure as an element; calculate a path having a vertex constituting the graph as an end point, and calculate a second set having a vertex constituting the calculated path as an element; and convert the first set and the second set into a vector.