Abstract: Aspects of the invention include a computer-implemented method for quantifying tester sentiment. The computer-implemented method includes receiving a first feedback data from a first tester, where the first feedback data represents feedback generated by the first tester in connection with a first instance of a first software-under-development. The first feedback data is correlated to an aspect of the first instance of the first software-under-development to derive a tester sentiment data. The tester sentiment data is used to determine a tester sentiment rating of the first instance of the software-under-development. Based on the tester sentiment rating, a resource is applied to the first instance of the first software-under-development.

Abstract: In some examples, a user, either a customer or potential customer of a business, engages in conversations with a virtual assistant (VA) provided by the business. The virtual assistant (VA) is further supported by one or more human assistants (HA), if needed. In embodiments, to facilitate seamless transitions between a VA and a HA, when needed, an intelligent decision maker (IDM) is provided. The IDM receives a user question and a proposed answer to the question from a VA, evaluates the proposed answer in the context of the conversation, and determines if the proposed answer requires further review by an HA. In response to a determination that the proposed answer requires further review, the IDM sends the proposed answer to an HA, and, in response to an indication by the HA, takes further action in the conversation.

Abstract: Computer vision systems and methods for text classification are provided. The system detects a plurality of text regions in an image and generates a bounding box for each detected text region. The system utilizes a neural network to recognize text present within each bounding box and classifies the recognized text, based on at least one extracted feature of each bounding box and the recognized text present within each bounding box, according to a plurality of predefined tags. The system can associate a key with a value and return a key-value pair for each predefined tag.

Abstract: Location information associated with a parking area is received. Information about a plurality of vehicles parked in the parking area is determined. A first space located between a first parked vehicle and a first non-movable object located in front of the first parked vehicle is determined. The first space is comprised of a first required space and a first non-required space. A second space located between the first parked vehicle and a second non-movable object located behind the first parked vehicle is determined. The second space is comprised of a second required space and a second non-required space. Responsive to determining that the first non-required space is greater than the second non-required space, the first parked vehicle is moved towards the first space. After moving the first parked vehicle, the first space is equivalent to the first required space.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: A computer-implemented method includes detecting, using a processor system, a first delay in a conversation system. Initial contextual data is received at a first orchestration layer of the processor system, where the initial contextual data describes a context of a user. The first orchestration layer queries a first data source, based on the initial contextual data. Based on querying the first data source, the first orchestration layer augments the initial contextual data to determine updated contextual data describing the context of the user. Filler content personalized to the user is generated based on the updated contextual data describing the context of the user. The filler content is presented through a user interface during the first delay, responsive to detecting the first delay in the conversation system.

Abstract: A method, computer system, and a computer program product for payload stabilization is provided. The present invention may include, in response to receiving at least one sensor data associated with a suspended payload, detecting an unstable movement in the suspended payload during a transport of the suspended payload. The present invention may also include implementing at least one sail coupled to the suspended payload to stabilize the detected unstable movement of the suspended payload.

Abstract: A method, a computer program product, and a computer system warn workers of a hazardous condition on a worksite. The method includes determining at least one outcome involving a worker and at least one worksite object based on conditions of the worksite. The method includes predicting whether a select one of the at least one outcome presents a hazardous condition to the worker. As a result of predicting that the select outcome presents the hazardous condition, the method includes transmitting a signal to a device associated with the worker. The signal triggers a warning to be received by the worker where the device is in a proximity of the worker.

Abstract: A caching method, system, and computer program product include compiling a combined action of a social interaction with a sharing of an object via a Uniform Resource Locator (URL) in real-time and from an offline database, extracting semantic information from the combined action, describing the semantic information of the combined action as an embedding of the object in a general object vector space, and creating a caching policy for access to the object based on a prediction of an access time derived from the general object vector space and the description of the combined action.

Abstract: A lift assist and transfer assembly for lifting and moving a component through a travel distance is described. The assembly includes an overhead rail mounted to a ceiling of a work environment. The rail has a first end and a second end, corresponding to a loading area and a work area defining the travel distance. A carriage is slidably attached to the rail for supporting the component and a pneumatic cylinder element at the second end of the rail is attached an overhead fixture of the ceiling. The pneumatic cylinder element is biased into a retracted position and extends to an extended position upon actuation to move the second end of the rail downward. The carriage slides along the rail from the first end to the second end upon actuation of the cylinder to displace the second end of the rail such that the rail has a downward slope.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: A method for providing adaptive vehicle-proximity guidance may include monitoring transit-condition data of a roadway traversed by a user-vehicle. The method may further include determining, based at least in part on the transit-condition data, a proximity zone. The method may further include generating a first visual representation that corresponds to the proximity zone. The method may further include displaying the first visual representation onto the roadway proximate the proximity zone and updating the first visual representation in response to detected changes in the transit-condition data.

Abstract: A method for displaying a visual representation corresponding to a carriage capacity may include obtaining passenger data of passengers onboard a carriage of a multi-carriage vehicle. The method may further include predicting, based at least in part on the first passenger data, a number of passengers who will exit the carriage at a destination. The method may further include determining, based at least in part on the predicting, an available capacity for the carriage and generating a visual representation that corresponds to the available capacity. The method may further include displaying the visual representation at the destination of the multi-carriage vehicle.

Abstract: A computer-implemented method includes detecting, using a processor system, a first delay in a conversation system. Initial contextual data is received at a first orchestration layer of the processor system, where the initial contextual data describes a context of a user. The first orchestration layer queries a first data source, based on the initial contextual data. Based on querying the first data source, the first orchestration layer augments the initial contextual data to determine updated contextual data describing the context of the user. Filler content personalized to the user is generated based on the updated contextual data describing the context of the user. The filler content is presented through a user interface during the first delay, responsive to detecting the first delay in the conversation system.

Abstract: A caching method, system, and computer program product include compiling a combined action of a social interaction with a sharing of an object via a Uniform Resource Locator (URL) in real-time and from an offline database, extracting semantic information from the combined action, describing the semantic information of the combined action as an embedding of the object in a general object vector space, and creating a caching policy for access to the object based on a prediction of an access time derived from the general object vector space and the description of the combined action.

Abstract: A dry-erase marker comprising a cylindrical housing configured to store an ink and a conic housing coupled to the cylindrical housing on a first end and having a socket on a second end. The dry-erase marker further comprising a marker head contained in the socket of the conic housing, where the marker head comprises a polymeric material and a surface topology. The conic housing is configured to transfer the ink from the cylindrical housing to the marker head, and the marker head is configured to transfer the ink to a dry-erase board by rotating in the socket.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: Techniques regarding action detection based on motion in receptive fields of a neural network model are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a motion component that can extract a motion vector from a plurality of adaptive receptive fields in a deformable convolution layer of a neural network model. The computer executable components can also comprise an action detection component that can generate a spatio-temporal feature by concatenating the motion vector with a spatial feature extracted from the deformable convolution layer.

Abstract: The present disclosure describes methods and systems directed towards implementing scene tagging. In particular, scene tagging is used to characterize user generated content associated with gameplay information associated with video games. Exemplary user generated content include video recordings or screenshots from within the video game that pertain to events that have occurred. Corresponding metadata would then be used to describe substantive aspects about the user-generated content such as details about where the recording or screenshot was taken, who was included in the user-generated content, and what objects are found in the user-generated content. The associated metadata would 1) allow users to search among various uploaded user generated content and 2) search within portions of those use-generated content for particular sub-sections of interest. Furthermore, the metadata associated with the user-generated content would allow viewers to experience the same events that were recorded.

Abstract: Activity feeds let users know about what is happening, and stay connected, with their friends and games. Users are able to discover new and exciting stories, games and friends. The information presented for a particular user is the most relevant information for that user. Relevancy is used to determine the priority of how items/feed stories are presented for a user. Feed stories are shown for a particular user's friends. The most popular trending stories are shown to all users based on relevancy rules. Most popular trending stories are determined based on the ones that have the most comments and likes. The activity feeds relating to a particular type are able to be condensed and presented to the users. Custom actions for the particular type of condensed activity feeds are identical. Condensed activity feeds are displayed using a predefined format “condensed title.