Abstract: Techniques for context-based display of content and alert based on distance on a multi-display system are described. For instance, the described techniques can be implemented to determine a device context based on one or more of a first instance of media content displayed on a first display device positioned at a first surface of a client device or an environment in which the client device is positioned. Based on the device context, the described techniques enable output of a second instance of media content via a second display device positioned at a second surface of the client device.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve webservers using dynamic load balancers. An example method includes identifying a first and second data object type associated with media and with first and second data objects of the media. The example method also includes enqueuing first and second event data associated with the first and second data object in a first and second queue in first circuitry in a die of programmable circuitry. The example method further includes dequeuing the first and second event data into a third and fourth queue associated with a first and second core of the programmable circuitry, the first circuitry separate from the first core and the second core. The example method additionally includes causing the first and second core to execute a first and second computing operation based on the first and second event data in the third and fourth queues.

Abstract: A computerized-method for gauging agent's self-assessment effectiveness, is provided herein. The computerized-method includes for each interaction (i) operating a Self-assessment Consolidation module to calculate a confidence-interval for each data-point of one or more preconfigured data-points, and (ii) operating a Self-assessment Divergence Determinant (SDD) module. The operating of the SDD includes: retrieving one or more data-points of the interaction; for each data-point retrieving the confidence interval; setting a divergence-indicator as zero, when the data point is within the confidence-interval; setting the divergence-indicator as a subtraction of the data point from the calculated lower-bound, when the data-point is lower than the lower-bound of the confidence-interval; and setting the divergence-indicator as a subtraction of the calculated upper-bound from the data-point, when the data-point is greater than the upper-bound of the confidence-interval.

Abstract: A device may receive historic temporal data identifying events associated with a system, and may perform block bootstrapping of the hierarchical time series data, based on a hyperparameters, to generate blocks of data points of the historic time series data. The device may process the blocks of data points, with a plurality of different machine learning models, to calculate predictions, and may apply weights to the predictions to generate weighted predictions. The device may aggregate the weighted predictions to generate aggregated predictions, and may apply final weights to the aggregated predictions to generate weighted aggregated predictions. The device may aggregate the weighted aggregated predictions to generate a final prediction, and may perform one or more actions based on the final prediction.

Abstract: Systems, computer program products, and methods are described herein for authentication and monitoring of an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of binary data associated with an AI engine; calculate, based on the first set of binary data, an engine hash value; store the engine hash value; receive, from a second network device, an approval of the first set of binary data; update an approval status of the engine hash value; receive, from a network device associated with a final user, a second set of binary data; determine that a second hash value associated with the second set of binary data matches the engine hash value; and transmit a notification to the network device associated with the final user, wherein the notification instructs the network device to allow the final user to launch the AI engine.

Abstract: Systems, computer program products, and methods are described herein for authentication and monitoring of an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of binary data associated with an AI engine; calculate, based on the first set of binary data, an engine hash value; store the engine hash value; receive, from a second network device, an approval of the first set of binary data; update an approval status of the engine hash value; receive, from a network device associated with a final user, a second set of binary data; determine that a second hash value associated with the second set of binary data matches the engine hash value; and transmit a notification to the network device associated with the final user, wherein the notification instructs the network device to allow the final user to launch the AI engine.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: training, using labeled training data and a list of substitutes for an item, a machine learning algorithm; determining, using the machine learning algorithm, as trained, a respective similarity score for each substitute of the list of substitutes; ranking each substitute of the list of substitutes based on its respective similarity score; and re-training the machine learning algorithm based on at least the labeled training data and a highest ranked substitute of the list of substitutes. Other embodiments are disclosed herein.

Abstract: Systems, computer program products, and methods are described herein for monitoring an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of decision parameters associated with an AI engine; encrypt the first set of decision parameters, generating an encrypted dataset; store the encrypted dataset on a transaction object; receive, from a second network device, an output associated with the AI engine; update the transaction object based on the output associated with the AI engine; and transmit a notification to the first network device, wherein the notification comprises a decrypted dataset.

Abstract: A multi-port memory is provided that supports collision between a read port and a write port to the same multi-port bitcell. A sense amplifier reads a data bit from a multi-port bitcell when a write port to the multi-port bitcell is addressed during a system clock signal. Should a read port to the multi-port bitcell be addressed during the same system clock signal, a multiplexer selects for an output bit from the sense amplifier.

Abstract: Present disclosure discloses a reinforcement member (10) for a vehicle. The member includes a first component (1) made of steel and a second component (2) secured to a portion of the first component. The second component is made of a reinforced polymer. The reinforcement member with the combination of the second component and the first component is configured to absorb impact energy. The reinforcement member (10) of the present disclosure is lighter in weight unlike the conventional reinforcement members and is structured to absorb/attenuate significantly impact higher energy than the conventional beams.

Abstract: A method provides camera adjustments based on eye gaze tracking and non-video contextual input. The method includes capturing, via a front facing camera, a face of a user and determining an eye gaze direction of the user based on a first image in a first image stream. The method includes receiving non-video input, determining, from the non-video input, one or more contexts related to a focus of the first user, and selecting a camera, at least partially based on the eye gaze direction and the one or more contexts. The method includes: generating at least one camera setting of a selected camera at least partially based on the first location and the context(s) determined from the non-video input; and activating the selected camera as an active camera, with the at least one camera setting, to capture a field of view that includes the focus of the first user.

Abstract: Techniques for personalized digital content generation are described and are implementable to generate digital content based on content that depicts a scene from one or more locations and content that depicts one or more individuals. The described implementations, for instance, enable generation of a personalized photo album for a user depicting the user at the one or more locations. The described implementations further enable generation of an itinerary including personalized digital content. In an example, an input including a location is received. Environment content is generated that depicts a scene of the location. User content is generated that includes a representation of one or more individuals. Personalized content is then generated by incorporating the representation of the one or more individuals into the scene, and the personalized content is output for display. The personalized content is further usable to generate a personalized itinerary for a user.

Abstract: Technologies for dynamically managing resources in disaggregated accelerators include an accelerator. The accelerator includes acceleration circuitry with multiple logic portions, each capable of executing a different workload. Additionally, the accelerator includes communication circuitry to receive a workload to be executed by a logic portion of the accelerator and a dynamic resource allocation logic unit to identify a resource utilization threshold associated with one or more shared resources of the accelerator to be used by a logic portion in the execution of the workload, limit, as a function of the resource utilization threshold, the utilization of the one or more shared resources by the logic portion as the logic portion executes the workload, and subsequently adjust the resource utilization threshold as the workload is executed. Other embodiments are also described and claimed.

Abstract: Techniques for digital content capture recommendations are described and are implementable to generate a recommendation for a digital content capture at a particular location based on capture data stored in a database. The described implementations enable generation of a recommendation including a suggested location, time of day, date, and/or various device configuration settings to capture an instance of digital content such as a photograph. For instance, a request for a recommendation for a digital content capture at a particular location is received. A database including capture data associated with digital content captured at the particular location is accessed, and the recommendation is generated based on the capture data. The recommendation is then displayed in a user interface of a client device.

Abstract: Techniques for personalized product recommendations based on an itinerary are described and are implementable to generate a recommendation for a good and/or service based on product data associated with a destination. The described implementations, for instance, enable generation of a recommendation for a user to acquire the good and/or service prior to visiting the destination based on digital content associated with the destination. The described implementations further enable generation of synthetic digital content that depicts the user at the destination with the good and/or service. Additionally, the techniques described herein include a monitoring system that is operable to detect a development related to the destination, and generate an updated recommendation based on the development.

Abstract: Techniques for notification handling based on identity and physical presence are described and may be implemented to determine whether to route a notification from a first device (e.g., a mobile device) to a second device (e.g., a display device) for output at the second device. Generally, the described implementations utilize sensor data captured at a physical location to detect and/or identify persons present at the physical location and to determine whether to route notifications between devices based on the detected persons/identities.

Abstract: Techniques for personalized product recommendations based on an itinerary are described and are implementable to generate a recommendation for a good and/or service based on product data associated with a destination. The described implementations, for instance, enable generation of a recommendation for a user to acquire the good and/or service prior to visiting the destination based on digital content associated with the destination. The described implementations further enable generation of synthetic digital content that depicts the user at the destination with the good and/or service. Additionally, the techniques described herein include a monitoring system that is operable to detect a development related to the destination, and generate an updated recommendation based on the development.

Abstract: In some embodiments, apparatuses and methods are provided to support individuals in a retail environment. Some embodiments, provide systems, comprising: a plurality of cameras positioned in a retail store; an image processing control circuit configured to determine a customer field of view; a product identification control circuit configured to identify a set of multiple products within the identified customer field of view, assign a viewing probability to each product without the first customer having to touch the first product; a product selection control circuit configured to determine a purchase probability of the first product; add the first product to a virtual electronic cart when the purchase probability of the first product exceeds a purchase probability threshold; and communicate instructions to control the worker personal computing device to instruct a worker to retrieve the first product.

Abstract: In aspects of display photo update recommendations, a catalyst is identified for updating a display photo of a user on a social media website. Further, a first collection of photos that are associated with the catalyst are retrieved from a photo gallery maintained in memory of a computing device. Using a machine learning model trained on a second collection of display photos utilized by connections of the user on the social media website, one or criteria are determined for display photos. Moreover, candidate display photos that satisfy the one or more criteria are identified from the first collection of photos and output to the photo gallery.

Abstract: This application relates to systems and methods for providing search results based on a primary intent. In some examples, a disclosed system includes a memory resource storing instructions; and one or more processors coupled to the memory resource. The one or more processors are configured to execute the instructions to: receive, from a user, a search query including a plurality of words, identify a plurality of intention terms from the words of the search query, compute, for each of the plurality of intention terms, a compatibility score between the intention term and a query context associated with the intention term, determine, from the plurality of intention terms, a primary intention term having a maximum compatibility score among the plurality of intention terms, and generate, based on the primary intention term, a set of intent-based search results in response to the search query, the set of intent-based search results identifying a set of items associated with the primary intention term.