Abstract: Improved multi-modal machine learning networks integrate computer vision systems with language models. In certain embodiments, a computer vision system analyzes at least one image to generate a computer vision output. The language model generates an output based, at least in part, on a consideration of the computer vision output. The outputs of the language model can be generated by jointly considering textual information learned by the language model and visual content extracted by the computer vision system, thereby significantly improving the accuracy, breadth, and comprehensiveness of the outputs.

Abstract: Methods and devices to monitor an analyte in body fluid are provided. Embodiments include continuous or discrete acquisition of analyte related data from a transcutaneously positioned analyte sensor automatically or on demand upon request from a user.

Abstract: This disclosure relates to improved techniques for personalizing vehicle routes and operator sessions using pre-trained machine learning language models. In certain embodiments, a language model is trained on operator interaction data to learn operator route preferences for vehicle operators. These learned operator route preferences can be leveraged to optimize and personalize vehicle routes and operator sessions in various ways. Other embodiments are disclosed herein as well.

Abstract: This disclosure relates to improved techniques for personalizing vehicle routes and operator sessions using pre-trained machine learning language models. In certain embodiments, a language model is trained on operator interaction data to learn operator route preferences for vehicle operators. These learned operator route preferences can be leveraged to optimize and personalize vehicle routes and operator sessions in various ways. Other embodiments are disclosed herein as well.

Abstract: Improved multi-modal machine learning networks integrate computer vision systems with language models. In certain embodiments, a computer vision system analyzes at least one image to generate a computer vision output. The language model generates an output based, at least in part, on a consideration of the computer vision output. The outputs of the language model can be generated by jointly considering textual information learned by the language model and visual content extracted by the computer vision system, thereby significantly improving the accuracy, breadth, and comprehensiveness of the outputs.

Abstract: This disclosure relates to artificial intelligence (AI) and machine learning networks for predicting or determining demand metrics across multiple channels. An analytics platform can receive channel events from multiple channels corresponding to geographic areas, and channel features related to demand conditions in the channels can be extracted from the channel events. During a training phase, the channel features can be accumulated into one or more training datasets for training one or more demand prediction models. The one or more demand prediction models can be trained to predict or determine demand metrics for each of the channels. The demand metrics can indicate or predict demand conditions based on the current conditions in the channels and/or based on future, predicted conditions in the channels. Other embodiments are disclosed herein as well.

Abstract: Methods and devices to monitor an analyte in body fluid are provided. Embodiments include continuous or discrete acquisition of analyte related data from a transcutaneously positioned in vivo analyte sensor automatically or upon request from a user. The in vivo analyte sensor is coupled to an electronics unit holding a memory with instruction to cause processing circuitry to initiate a predetermined time period that is longer than a predetermined life of the sensor, during the predetermined time period, convert signals from the sensor related to glucose to respective corresponding glucose levels, without relying on any post-manufacture independent analyte measurements from a reference device, and at the expiration of the predetermined time period, disable, deactivate, or cease use of one or more feature.

Abstract: Embodiments described herein relate to an analyte monitoring device having a user interface with a display and a plurality of actuators. The display is configured to render a plurality of display screens, including a home screen and an alert screen. The home screen is divided into a plurality of simultaneously displayed panels, with a first panel displays a rate of change of continuously monitored analyte levels in interstitial fluid, a second panel simultaneously displays a current analyte level and an analyte trend indicator, and a third panel displays status information of a plurality of components of the device. When an alarm condition is detected, the display renders the alert screen in place of the home screen, the alert screen displaying information corresponding to the detected alarm condition. Furthermore, the actuators are configured to affect further output of the analyte monitoring device corresponding to the detected condition.

Abstract: A system for measurement of an analyte level including an analyte sensor having an in vivo portion in contact with the interstitial fluid of a user and an ex vivo portion. The sensor further includes at least one working electrode and a reference electrode located on the in vivo portion, and a first substrate. The at least one working electrode and reference electrode sense signals associated with a measured analyte level in the interstitial fluid of a user. Further, the ex vivo portion includes a plurality of electronic components mounted thereon, and at least one of the electronic components are configured to receive the generated signals associated with the measured analyte level. The electronic components are mounted to the ex vivo portion using photonic soldering.

Abstract: Methods and devices to monitor an analyte in body fluid are provided. Embodiments include continuous or discrete acquisition of analyte related data from a transcutaneously positioned in vivo analyte sensor automatically or upon request from a user. The in vivo analyte sensor is coupled to an electronics unit holding a memory with instruction to cause processing circuitry to initiate a predetermined time period that is longer than a predetermined life of the sensor, during the predetermined time period, convert signals from the sensor related to glucose to respective corresponding glucose levels, without relying on any post-manufacture independent analyte measurements from a reference device, and at the expiration of the predetermined time period, disable, deactivate, or cease use of one or more feature.

Abstract: This disclosure relates to decentralized computing networks, architectures and techniques for collecting, analyzing, and processing data over multiple channels. A decentralized computing network comprises a plurality of computing nodes, each of which is dedicated to analyzing and processing events for a particular channel corresponding to a geographic region. Each node of the decentralized computing network can operate independently to process channel analysis data for a corresponding channel. The decentralized configuration of the nodes enables efficient processing of data collected over large geographic areas, increases the reliability of the system, and facilitates easy scaling of the system. Other embodiments are disclosed herein as well.

Abstract: Method, device and system for providing consistent and reliable glucose response information to physiological changes and/or activities is provided to improve glycemic control and health management.

Abstract: Method, device and system for providing consistent and reliable glucose response information to physiological changes and/or activities is provided to improve glycemic control and health management.

Abstract: Embodiments described herein relate to an analyte monitoring device having a user interface with a display and a plurality of actuators. The display is configured to render a plurality of display screens, including a home screen and an alert screen. The home screen is divided into a plurality of simultaneously displayed panels, with a first panel displays a rate of change of continuously monitored analyte levels in interstitial fluid, a second panel simultaneously displays a current analyte level and an analyte trend indicator, and a third panel displays status information of a plurality of components of the device. When an alarm condition is detected, the display renders the alert screen in place of the home screen, the alert screen displaying information corresponding to the detected alarm condition. Furthermore, the actuators are configured to affect further output of the analyte monitoring device corresponding to the detected condition.

Abstract: Methods and devices to monitor an analyte in body fluid are provided. Embodiments include continuous or discrete acquisition of analyte related data from a transcutaneously positioned in vivo analyte sensor automatically or upon request from a user. The in vivo analyte sensor is coupled to an electronics unit holding a memory with instruction to cause processing circuitry to initiate a predetermined time period that is longer than a predetermined life of the sensor, during the predetermined time period, convert signals from the sensor related to glucose to respective corresponding glucose levels, without relying on any post-manufacture independent analyte measurements from a reference device, and at the expiration of the predetermined time period, disable, deactivate, or cease use of one or more feature.

Abstract: Embodiments described herein relate to an analyte monitoring device having a user interface with a display and a plurality of actuators. The display is configured to render a plurality of display screens, including a home screen and an alert screen. The home screen is divided into a plurality of simultaneously displayed panels, with a first panel displays a rate of change of continuously monitored analyte levels in interstitial fluid, a second panel simultaneously displays a current analyte level and an analyte trend indicator, and a third panel displays status information of a plurality of components of the device. When an alarm condition is detected, the display renders the alert screen in place of the home screen, the alert screen displaying information corresponding to the detected alarm condition. Furthermore, the actuators are configured to affect further output of the analyte monitoring device corresponding to the detected condition.

Abstract: Embodiments described herein relate to an analyte monitoring device having a user interface with a display and a plurality of actuators. The display is configured to render a plurality of display screens, including a home screen and an alert screen. The home screen is divided into a plurality of simultaneously displayed panels, with a first panel displays a rate of change of continuously monitored analyte levels in interstitial fluid, a second panel simultaneously displays a current analyte level and an analyte trend indicator, and a third panel displays status information of a plurality of components of the device. When an alarm condition is detected, the display renders the alert screen in place of the home screen, the alert screen displaying information corresponding to the detected alarm condition. Furthermore, the actuators are configured to affect further output of the analyte monitoring device corresponding to the detected condition.

Abstract: Embodiments described herein relate to an analyte monitoring device having a user interface with a display and a plurality of actuators. The display is configured to render a plurality of display screens, including a home screen and an alert screen. The home screen is divided into a plurality of simultaneously displayed panels, with a first panel displays a rate of change of continuously monitored analyte levels in interstitial fluid, a second panel simultaneously displays a current analyte level and an analyte trend indicator, and a third panel displays status information of a plurality of components of the device. When an alarm condition is detected, the display renders the alert screen in place of the home screen, the alert screen displaying information corresponding to the detected alarm condition. Furthermore, the actuators are configured to affect further output of the analyte monitoring device corresponding to the detected condition.