Abstract: Systems and methods for generating runtime predictions in distributed computer architectures are disclosed. According to one embodiment, a method for generating runtime predictions in a distributed computer architectures may include: (1) receiving, by a runtime prediction computer program executed by an electronic device, training data regarding completion of a plurality of risk compute jobs; (2) extracting, by the runtime prediction computer program, bucketing statistics and instrument level features from the data; (3) training, by the runtime prediction computer program, a machine learning model with the training data, the extracted bucketing statistics, and the instrument level features; (4) receiving, by the runtime prediction computer program, a plurality of jobs for a period of time; and (5) calculating, by the runtime prediction computer program, an instrument cost for each of the jobs using the machine learning model.

Abstract: An augmented reality (AR) calibration process for an eyewear device that customizes an AR user interface (UI) for the wearer. Physiological characteristics such as arm length and hand size are determined from images captured by the eyewear device for use in adjusting the UI controls before rendering the UI.

Abstract: An eXtended Reality (XR) system is provided that generates an interactive XR user interface including 3D sliders for inputting a value for a variable. The XR system renders a 3D slider using a set of attributes and displays the 3D slider to a user as a component of the XR user interface. The XR system detects a pinch gesture of a hand of the user in proximity to the 3D slider. In response to detecting the pinch gesture, the XR system renders the 3D slider using a set of attributes and re-displays the 3D slider to the user.

Abstract: An eXtended Reality (XR) system is provided that generates an interactive XR user interface including 3D sliders for inputting a value for a variable. The XR system renders a 3D slider using a set of attributes and displays the 3D slider to a user as a component of the XR user interface. The XR system detects a pinch gesture of a hand of the user in proximity to the 3D slider. In response to detecting the pinch gesture, the XR system renders the 3D slider using a set of attributes and re-displays the 3D slider to the user.

Abstract: An augmented reality (AR) calibration process for an eyewear device that customizes an AR user interface (UI) for the wearer. Physiological characteristics such as arm length and hand size are determined from images captured by the eyewear device for use in adjusting the UI controls before rendering the UI.

Abstract: An eXtended Reality (XR) system is provided that generates an interactive XR user interface including 3D sliders for inputting a value for a variable. The XR system renders a 3D slider using a set of attributes and displays the 3D slider to a user as a component of the XR user interface. The XR system detects a pinch gesture of a hand of the user in proximity to the 3D slider. In response to detecting the pinch gesture, the XR system renders the 3D slider using a set of attributes and re-displays the 3D slider to the user.

Abstract: A system includes a user device having a near field communication (NFC) interface. The system also includes a short-range wireless communication interface configured to communicate with devices in a local physical space. The system also includes one or more processors and a non-transitory computer readable storage medium storing instructions for detecting, via the NFC interface, near field proximity between the user device and a NFC-enabled device, receiving pairing information from the NFC-enabled device via the NFC interface, processing the pairing information to establish communication between the system and a wireless-enabled device located in the local physical space via the short-range wireless communication interface, receiving location information from the wireless-enabled device via the short-range wireless communication interface, and determining a location of the user device in the local physical space, relative to at least one reference point, using the location information.

Abstract: An augmented reality (AR) calibration process for an eyewear device that customizes an AR user interface (UI) for the wearer. Physiological characteristics such as arm length and hand size are determined from images captured by the eyewear device for use in adjusting the UI controls before rendering the UI.

Abstract: An augmented reality (AR) calibration process for an eyewear device that customizes an AR user interface (UI) for the wearer. Physiological characteristics such as arm length and hand size are determined from images captured by the eyewear device for use in adjusting the UI controls before rendering the UI.

Abstract: Systems and methods for generating runtime predictions in distributed computer architectures are disclosed. According to one embodiment, a method for generating runtime predictions in a distributed computer architectures may include: (1) receiving, by a runtime prediction computer program executed by an electronic device, training data regarding completion of a plurality of risk compute jobs; (2) extracting, by the runtime prediction computer program, bucketing statistics and instrument level features from the data; (3) training, by the runtime prediction computer program, a machine learning model with the training data, the extracted bucketing statistics, and the instrument level features; (4) receiving, by the runtime prediction computer program, a plurality of jobs for a period of time; and (5) calculating, by the runtime prediction computer program, an instrument cost for each of the jobs using the machine learning model.

Abstract: An augmented reality (AR) calibration process for an eyewear device that customizes an AR user interface (UI) for the wearer. Physiological characteristics such as arm length and hand size are determined from images captured by the eyewear device for use in adjusting the UI controls before rendering the UI.