Abstract: A computer-tomography (CT) imaging system, comprising an imaging data acquisition system. The imaging data acquisition system includes a detector section, an aggregation section, and a storage section. The detection section includes a plurality of detector elements configured to convert radiation into electric signals. The aggregation section aggregates imaging data carried by the electric signals from the detector section. The storage section is arranged in a manner corresponding to the detector elements regarding an output from the detector section and an input to the aggregation section. The storage section includes a predetermined number of non-volatile memories configured to store the imaging data from the corresponding detector elements.

Abstract: A gaming system may allow for a user to capture and/or edit simulation state data of gameplay in a video game such that a replay of the gameplay may be rendered and/or shared. The gaming system may receive simulation state data and a request. The simulation state data may include simulation state(s) which include a model and pose state of an avatar corresponding to a player in a game simulation of a video game previously rendered as rendered view(s). The request may request a replay of the simulation state data with modification(s). The gaming system may modify the simulation state data to generate modified simulation state data and render, based on the modified simulation state data, replay view(s) that differ from the previously rendered view(s). The gaming system may then output the replay view(s) to a display of a computing device.

Abstract: A method includes determining a state of the user that is any one of an attention state and an attention absence state. If the user is in the attention absence state, the indication by the progress indicator is modified to indicate a first fake progress of the execution of the task slower than the current real task progress. If the state of the user is the attention state for a time period longer than a transition time period after a last transition of the state of the user from the attention absence state back to the attention state, a current progress of the execution of the task is indicated by the progress indicator, otherwise the indication by the progress indicator during the transition time period is modified to indicate a second fake progress of the execution of the task faster than the current real task progress.

Abstract: Various examples are provided related to hyperspectral imaging of moving microscopic sample elements. In one example, a method for hyperspectral imaging includes acquiring a series of optical images and corresponding hyperspectral data of a sample; compiling a movie comprising a series of frames each including one of the series of optical images and a slit line indicating a location of a slit for acquisition of the hyperspectral data; identifying a frame comprising an element of the sample located on the slit line; and analyzing the hyperspectral data corresponding to the optical image in the identified frame. Each optical image and its corresponding hyperspectral data are acquired simultaneously and identified by a time stamp or sequence number. The analysis can generate hyperspectral information about the element. In another example, a system for hyperspectral imaging includes a hyperspectral imaging device; an optical imaging device; and a computing device.

Abstract: A gas irradiation apparatus has a housing assembly having a gas inlet and a gas outlet. An irradiation chamber is contained within the housing, there the irradiation chamber has a first chamber, an adjacent second chamber, and an intermediate wall separating the first chamber from the second chamber. One or more conduits extend through the intermediate wall, which provide the exclusive flow path between the first chamber and the second chamber. A gas transfer fan is disposed within each conduit, with the gas transfer fans configured to induce flow between the first chamber and the second chamber. An array of light emitting diodes are configured to provide UVC light radiation into the irradiation chamber thereby irradiating any gas contained within the irradiation chamber.

Abstract: A rotary actuator assembly for moving a first relatively movable part relative to a second relatively movable part. The assembly includes: a rotary actuator having a plurality of annular earth members for attachment to one of the first and the second relatively movable parts and one or more annular output members for attachment to the other of the first and second relatively movable parts. The annulus of the earth members and the one or more output members are coaxial defining a lumen through the rotary actuator along an actuator axis A. The assembly also includes at least one rotary motor arranged to rotate the annular output member relative to the annular earth members, about the actuator axis A. The rotary actuator also includes a rod extending through the lumen and extending axially beyond the earth members.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to refining employment-based engagement surveys via HCI. The computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise an adjustment component that can adjust one or more answers provided by an individual in an employment-based survey to one or more new respective answers derived from a combination of HCI data of the individual and employment-based data of the individual.

Abstract: In one embodiment, a device represents each of a plurality of objects depicted in video data captured by a plurality of cameras over time as a set of key points associated with that object. The device forms, for each of the plurality of objects, a set of timeseries of the set of key points associated with that object. The device performs reidentification of a particular one of the plurality of objects across video data captured by two or more of the plurality of cameras by matching sets of timeseries of key points associated with that object derived from video data captured by two or more of the plurality of cameras. The device provides an indication of the reidentification for display to a user.

Abstract: A control method for controlling data processing acquired from medical imaging modalities by using multiple data processors connected to multiple medical imaging modalities via a network. The method includes obtaining image information for imaging to be performed with an imaging modality from the multiple imaging modalities. The method also includes obtaining load information of the multiple data processors before the imaging is completed. Allocating, based on graph information generated based on the obtained load information, at least a part of the multiple data processors to processing of data acquired in imaging based on the imaging information. The control method may conclude by performing processing of the acquired data with the allocated data processing resource.

Abstract: A computer-implemented method, system, and computer program product for writing and checking functions of a code file in interactive development environments. The method may include, responsive to determining the function matches a historical function in a log of previously executed functions and their corresponding execution responses, identifying the execution response corresponding to the matching historical function in the log. The method may also include determining an expected result of the function based on the identified execution response.

Abstract: In one embodiment, a device represents each of a plurality of objects depicted in video data over time as a set of timeseries of key points associated with that object. The device forms groups of objects based on their associated sets of timeseries. The device identifies an anomalous behavior of a particular group from among the groups of objects, based on their constituent timeseries of coordinate points. The device provides an alert regarding the anomalous behavior to a user interface for review.

Abstract: In one embodiment, a device tracks an object in video data captured by one or more cameras. The device represents spatial characteristics of the object over time as one or more timeseries. The device associates different portions of the one or more timeseries with behavioral regimes of the object. The device provides a portion of the video data for display as part of an alert that is based on a rate of change of transitions between the behavioral regimes of the object.

Abstract: In one embodiment, a device represents spatial characteristics over time of an object in video data as one or more timeseries. The device detects an event based on a rate of change of behavioral regimes associated with different portions of the one or more timeseries. The device selects contextual data for the event that comprises spatial timeseries information for different types of objects or different activities. The device provides an alert for the event to a user interface regarding the event that includes the contextual data.

Abstract: In one embodiment, a student agent identifies a topic of interest. The student agent issues a set of one or more questions to a teacher agent regarding the topic of interest. The student agent receives, from the teacher agent, answer data in response to the set of one or more questions. The student agent uses the answer data to generate a neuro-symbolic metamodel that comprises a semantic reasoner and a sub-symbolic layer.

Abstract: In one embodiment, a device receives, from a requestor, a request for a set of ground truth examples of a particular type to be used to train a machine learning model. The request includes context data regarding a location to be analyzed by the machine learning model. The device identifies, based on the request, the set of ground truth examples using a metamodel comprising a semantic reasoner and a sub-symbolic layer. The device associates labels with the set of ground truth examples. The device provides, to the requestor, the set of ground truth examples and their labels.