Abstract: An electronic device, a method and a computer program product for camera adjustments based on eye gaze tracking. The method includes capturing, via a front facing camera, an image stream containing a face of a user and determining, via a processor, an eye gaze direction based on images retrieved from the image stream. The eye gaze direction corresponds to a location where the user is looking. In response to determining that the user is looking away from the front surface of the electronic device and towards a direction within a field of view of a rear facing camera, the method further includes identifying image characteristics of the location, generating camera settings of the rear facing camera based on the eye gaze direction/characteristics of the location and adjusting the rear facing camera using the generated camera settings such that the rear facing camera focuses on the location.

Abstract: Aspects of the present disclosure provide methods, devices, and computer-readable storage media that support adaptive scheduling of electric vehicles (EVs) of an EV fleet for order deliveries. In some implementations, one or more aspects of the adaptive EV scheduling may be customized for EVs. For example, the adaptive EV scheduling may include identifying an energy efficient route that also reduces stress on a battery of an EV and may be based at least in part on a charging parameter associated with the EV. In some examples, the charging parameter may include one or more of a state of charge (SOC) associated with the battery, a state of health (SOH) associated with the battery, a location of a charging station for the EV, an average charging duration associated with the EV, or an intelligent charging parameter associated with the EV.

Abstract: An electronic device includes a device housing supporting a user interface, one or more touch sensors, and at least one image capture device. One or more processors cause, in response to the user interface receiving user input initiating a video capture operation, the at least one image capture device to capture a plurality of video frames. The plurality of video frames are processed with a first video stabilization operation when the electronic device is supported by a multi-handed touch input and a second video stabilization operation when the electronic device is supported by a single-handed touch input. The first video stabilization operation crops less of each image than the second video stabilization operation since the electronic device is likely more stable when supported by the multi-handed touch input.

Abstract: Improved artificial intelligence computer systems actively and/or passively provide end-users with information from firm data systems to help the end-user perform the end-user's job functions. In a passive implementation, the system can prioritize emails for a user, craft consistent responses to multiple email inquiries on the same topic, and/or craft responses whose content is drawn from a library of electronic documents. In an active implementation, the system comprises AI agents associated with individual databases of the system, where the AI agents are tuned to retrieve data from their associated database in response to a query from the end-user.

Abstract: A method to provide multi-objective recommendations. The method includes receiving user input indicating a plurality of objectives, where each of the plurality of objectives indicates a desired goal for a field of interest, receiving user input indicating a plurality of actionable fields, receiving user input indicating selection of one of a plurality of records in a data set, determining, based on applying an evolutionary algorithm, one or more candidate changes to values of the plurality of actionable fields of the selected record, determining, for each of the one or more candidate changes, a multi-objective score for that candidate change, selecting one or more of the one or more candidate changes to recommend to a user based on the multi-objective scores of the one or more candidate changes, and providing, for display to the user, the selected one or more candidate changes as recommended changes.

Abstract: A system includes one or more processors and software, executable by the one or more processors that, when executed by the one or more processors, cause the system to retrieve Environmental, Social & Governance (ESG) related data from one or more first databases, retrieve financial-related data from one or more second databases, and generate a dynamically interactive graphical user interface (GUI), containing a combination of ESG and financial information, the GUI having multiple GUI Modules including a Screening GUI Module, a Ratings GUI Module, a Climate GUI Module, and a Sustainability GUI Module.

Abstract: A representation of a first set of weights associated with a vehicle prior to a drive are received, the vehicle including a plurality of axles, a plurality of wheels attached to the plurality of axles, and a load. A warning is caused to be output in response to at least one weight from the first set of weights being outside a predetermined range. Longitudinal and lateral dynamics associated with the vehicle during the drive are determined. A second set of weights associated with at least one axle from the plurality of axles during the drive are determined. A determination is made if at least one remedial action should be performed based on the longitudinal dynamics, the lateral dynamics, and the second set of weights. In response to determining that the at least one remedial action should be performed, the at least one remedial action is caused to be performed.

Abstract: The invention provides a method for multi-paging of a user equipment (UE) in a network; the network may be a wireless cellular network, and may comprise a plurality of cells. The method may be executed by the UE, and may comprise a multi-paging procedure. The multi-paging procedure may comprise: when the UE camps on a serving cell of the plurality of cells, checking whether a non-serving cell paging message is received on a non-serving cell of the plurality of cells, with the non-serving cell being different from the serving cell.

Abstract: An electronic device, computer program product, and method are provided that prompt a person who is participating in a video communication session to gaze toward a local image capturing device. A controller of the electronic devices receives an image stream from an image capturing device configured to be spaced away from a display device and having a field of view that incorporates a person that is proximate to the display device. The controller communicates the image stream to a video communication session. The controller receives second image stream(s) from second communication device(s) and presents the second image stream(s) at a display device. In response to a trigger that indicates that the first image stream is being presented as a primary image stream by the at least one second electronic device, the controller presents a prompt indicating that the participant should gaze toward the image capturing device.

Abstract: An electronic device, computer program product, and method are provided that automatically focus on meaningful content in an image stream during an instruction-oriented video communication session. The electronic device communicatively connects the electronic device via a network to image stream transmitting (IST) electronic device(s) during a video communication session. A controller of the electronic device identifies a person and a writing surface within an image stream received from the IST electronic device. In response to determining that the person is attending to the writing surface, the controller presents on display device(s) a first portion of the image stream that focuses on the writing surface. In response to determining that the person is not attending to the writing surface, the controller presents on the display device(s) a second portion of the image stream that does not focus on the writing surface.

Abstract: Systems and processes are provided to detect an improper external power supply. An example includes a processor in communication with an internal battery. The processor receives an indication that the internal battery is receiving power from an external power supply. The processor determines a first output current of the internal battery. An error is generated indicating the internal battery receives insufficient power from the external power supply. The error indicates the external power supply is faulty in response to the internal battery intermittently discharging while receiving a power from the external power supply.

Abstract: Techniques for screenshot capture based on content type are described and are implementable to enable a screenshot of content displayed on a device to be captured based on a content type for the content. The described implementations, for instance, automatically determine a content type for content displayed on a device and capture a screenshot based on the content type, such as whether the content represents static content or dynamic content.

Abstract: Described are systems and methods to determine one or more body dimensions of a body based on a processing of one or more two-dimensional images that include a representation of the body. Body dimensions include any length, circumference, etc., of any part of a body, such as shoulder circumference, chest circumference, waist circumference, hip circumference, inseam length, bicep circumference, leg circumference, etc.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using an attention-based text encoder machine learning model that is trained using a multi-task training routine that is associated with two or more training tasks (e.g., a multi-task training routine that is associated with two or more sequential training tasks, a multi-training routine that is associated with two or more concurrent training tasks, and/or the like).

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using an attention-based text encoder machine learning model that is trained using a multi-task training routine that is associated with two or more training tasks (e.g., a multi-task training routine that is associated with two or more sequential training tasks, a multi-training routine that is associated with two or more concurrent training tasks, and/or the like).

Abstract: Exemplary methods of semiconductor processing may include providing a first precursor to a semiconductor processing chamber. A substrate may be disposed within a processing region of the semiconductor processing chamber. The first precursor may include one or more of niobium, tantalum, or titanium. The methods may include contacting the substrate with the first precursor. The contacting may form a layer of metal on the substrate. The methods may include providing a second precursor to a semiconductor processing chamber. The second precursor comprises oxygen. The methods may include contacting the layer of metal with the second precursor. The contacting may form a layer of metal oxide on the substrate. The layer of metal oxide may be one or more of niobium oxide, tantalum oxide, or titanium oxide.

Abstract: An electronic device, computer program product, and method are provided that prompt a person who is participating in a video communication session with at least one second electronic device to gaze toward a local image capturing device. A controller of the electronic devices receives an image stream from an image capturing device having a field of view that incorporates a person that is proximate to the display device. The controller communicates the image stream to a video communication session. In response to a trigger that indicates that the first image stream is being presented as a primary image stream by the at least one second electronic device, the controller presents a prompt indicating that the participant should gaze toward the image capturing device.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using an attention-based text encoder machine learning model that is trained using a multi-task training routine that is associated with two or more training tasks (e.g., a multi-task training routine that is associated with two or more sequential training tasks, a multi-training routine that is associated with two or more concurrent training tasks, and/or the like).

Abstract: Exemplary methods of semiconductor processing may include providing a first precursor to a semiconductor processing chamber. A substrate may be disposed within a processing region of the semiconductor processing chamber. The first precursor may include a first metal. The methods may include contacting the substrate with the first precursor. The contacting may form a first portion of a metal oxide material on the substrate. The methods may include providing a second precursor to the semiconductor processing chamber. The second precursor may be an oxygen-containing precursor including an alcohol, an alkoxide, a hydroxide, an acetylacetonate, an acetate, a formate, a nitrate, a sulfate, a phosphate, a phosphide, a carbonate, an oxide, an oxynitride, a perchlorate, an oxyhalide, a peroxide, an oxalate, or a phenolate. The methods may include contacting the first portion of the metal oxide material with the second precursor. The contacting may form a metal oxide material.

Abstract: Disclosed are various approaches for verifying the compliance of a TLS session with TLs policies. Traffic between an application and a destination server can be routed through a TLS gateway. The TLS gateway can inspect TLS handshake messages for compliance with TLS policies.