Abstract: Methods, systems, and storage media for projecting multi-viewer-specific 3D object perspectives from a single 3D display are disclosed. Implementations may: acquire face and eye region image data of a plurality of viewers within a field of view of at least one camera associated with a 3D-enabled digital display; analyze the eye region image data to determine at least one 3D eye position, at least one eye state, at least one gaze angle, and at least one point-of-regard for at least one viewer relative to at least one camera associated with the 3D-enabled digital display; and calculate a plurality of image projections for display by the single 3D display.

Abstract: Methods, systems, and storage media for projecting multi-viewer-specific 3D object perspectives from a single 3D display are disclosed. Implementations may: acquire face and eye region image data of a plurality of viewers within a field of view of at least one camera associated with a 3D-enabled digital display; analyze the eye region image data to determine at least one 3D eye position, at least one eye state, at least one gaze angle, and at least one point-of-regard for at least one viewer relative to at least one camera associated with the 3D-enabled digital display; and calculate a plurality of image projections for display by the single 3D display.

Abstract: Methods, systems, and storage media for projecting multi-viewer-specific 3D object perspectives from a single 3D display are disclosed. Implementations may: acquire face and eye region image data of a plurality of viewers within a field of view of at least one camera associated with a 3D-enabled digital display; analyze the eye region image data to determine at least one 3D eye position, at least one eye state, at least one gaze angle, and at least one point-of-regard for at least one viewer relative to at least one camera associated with the 3D-enabled digital display; and calculate a plurality of image projections for display by the single 3D display.

Abstract: A system includes at least one processor configured to detect, based on point cloud information, portions of a particular object, and determine, based on the detected portions, at least a first portion having a first reflectivity corresponding to a license plate, and at least two additional spaced-apart portions corresponding to locations on the particular object other than a location of the first portion. The at least two additional portions have reflectivity substantially lower than the first reflectivity. The at least one processor is further configured to classify the particular object as a vehicle, based on a spatial relationship and a reflectivity relationship between the first portion and the at least two additional portions.

Abstract: The disclosed technology controls a digital inking device by communicating electrostatic inking signals between the digital inking device and an ink-receiving computing device in an inking mode enabling the digital inking device to render digital ink in a display of the ink-receiving computing device via the electrostatic inking signals, detecting proximity of a peripheral communication device relative to the digital inking device, transitioning the digital inking device from the inking mode to a non-inking mode that terminates communication of the electrostatic inking signals between the digital inking device and the ink-receiving computing device, based at least in part on the detecting operation, and communicating electrostatic data signals in the non-inking mode between the digital inking device and the peripheral communication device in the non-inking mode, based at least in part on the transitioning to the non-inking mode.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to detect code defects. An example apparatus includes repository interface circuitry to retrieve code repositories corresponding to a programming language of interest, tree generating circuitry to generate parse trees corresponding to code blocks contained in the code repositories, directed acyclic graph (DAG) circuitry to generate DAGs corresponding to respective ones of the parse trees, the DAGs including control flow information and data flow information, abstraction generating circuitry to abstract the DAGs, invariant identification circuitry to extract invariants from the abstracted DAGs, and DAG comparison circuitry to cluster respective ones of the extracted invariants to identify respective ones of the abstracted DAGs with common invariants.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to detect code defects. An example apparatus includes repository interface circuitry to retrieve code repositories corresponding to a programming language of interest, tree generating circuitry to generate parse trees corresponding to code blocks contained in the code repositories, directed acyclic graph (DAG) circuitry to generate DAGs corresponding to respective ones of the parse trees, the DAGs including control flow information and data flow information, abstraction generating circuitry to abstract the DAGs, invariant identification circuitry to extract invariants from the abstracted DAGs, and DAG comparison circuitry to cluster respective ones of the extracted invariants to identify respective ones of the abstracted DAGs with common invariants.

Abstract: A computerized method and apparatus for distinguishing between false positive read events and true positive events of reading a file, comprising determining an amount of date read from the file, in case the amount of data exceeds a threshold generating a true positive read event, otherwise generating a false positive read event in case a decision condition is met, and an apparatus to carry out the same.

Abstract: A computerized method and apparatus for distinguishing between false positive read events and true positive events of reading a file, comprising determining an amount of date read from the file, in case the amount of data exceeds a threshold generating a true positive read event, otherwise generating a false positive read event in case a decision condition is met, and an apparatus to carry out the same.

Abstract: A computerized method and apparatus for distinguishing between false positive read events and true positive events of reading a file, comprising determining an amount of date read from the file, in case the amount of data exceeds a threshold generating a true positive read event, otherwise generating a false positive read event in case a decision condition is met, and an apparatus to carry out the same.

Abstract: Disclosed herein are nanoscale devices comprising one or more ferroelectric nanoshells characterized as having an extreme curvature in at least one spatial dimension. Also disclosed are ferroelectric field effect transistors and metal ferroelectric metal capacitors comprising one or more ferroelectric nanoshells. Methods for controlling spontaneous ferroelectric polarization in nanoshell devices are also disclosed.

Abstract: Disclosed herein are nanoscale devices comprising one or more ferroelectric nanoshells characterized as having an extreme curvature in at least one spatial dimension. Also disclosed are ferroelectric field effect transistors and metal ferroelectric metal capacitors comprising one or more ferroelectric nanoshells. Methods for controlling spontaneous ferroelectric polarization in nanoshell devices are also disclosed.

Abstract: Disclosed herein are nanoscale devices comprising one or more ferroelectric nanoshells characterized as having an extreme curvature in at least one spatial dimension. Also disclosed are ferroelectric field effect transistors and metal ferroelectric metal capacitors comprising one or more ferroelectric nanoshells. Methods for controlling spontaneous ferroelectric polarization in nanoshell devices are also disclosed.

Abstract: A computerized method and apparatus for distinguishing between false positive read events and true positive events of reading a file, comprising determining an amount of date read from the file, in case the amount of data exceeds a threshold generating a true positive read event, otherwise generating a false positive read event in case a decision condition is met, and an apparatus to carry out the same.

Abstract: A computerized method and apparatus for distinguishing between false positive read events and true positive events of reading a file, comprising determining an amount of date read from the file, in case the amount of data exceeds a threshold generating a true positive read event, otherwise generating a false positive read event in case a decision condition is met, and an apparatus to carry out the same.

Abstract: Disclosed herein are nanoscale devices comprising one or more ferroelectric nanoshells characterized as having an extreme curvature in at least one spatial dimension. Also disclosed are ferroelectric field effect transistors and metal ferroelectric metal capacitors comprising one or more ferroelectric nanoshells. Methods for controlling spontaneous ferroelectric polarization in nanoshell devices are also disclosed.

Abstract: Disclosed herein are nanoscale devices comprising one or more ferroelectric nanoshells characterized as having an extreme curvature in at least one spatial dimension. Also disclosed are ferroelectric field effect transistors and metal ferroelectric metal capacitors comprising one or more ferroelectric nanoshells. Methods for controlling spontaneous ferroelectric polarization in nanoshell devices are also disclosed.

Abstract: A computerized method and apparatus for distinguishing between false positive read events and true positive events of reading a file, comprising determining an amount of date read from the file, in case the amount of data exceeds a threshold generating a true positive read event, otherwise generating a false positive read event in case a decision condition is met, and an apparatus to carry out the same.

Abstract: A reduced instruction set computer (RISC) includes at least one arithmetic logic units (ALUs), which are arranged to evaluate logical conditions. A processing pipeline is arranged to solve a decision problem that is representable as a decision tree including at least three nodes by processing a sequence of pipelined instructions that traverse the decision tree. At least some of the pipelined instructions instruct the one or more ALUs to evaluate respective logical conditions, such that the pipeline flushes the instructions from the pipeline no more than once in the course of processing the sequence regardless of whether the logical conditions evaluate to true or false.