Abstract: Disclosed herein are techniques related to determination of adjustments to fluid delivery settings. In some embodiments, the techniques may involve accessing insulin delivery data for a user of an insulin delivery device. The insulin delivery data may be indicative of an amount of insulin delivered by the insulin delivery device to the user during a time period. The techniques may also involve analyzing the insulin delivery data to generate an updated insulin sensitivity factor (ISF) value. The techniques may further involve generating, based on the updated ISF value, a recommendation to adjust an ISF value of the insulin delivery device. Additionally, the techniques may involve causing adjustment of the ISF value to the updated ISF value in accordance with the recommendation.

Abstract: A data processing system includes a dynamic random access memory (DRAM), a prefetcher, and a refresh controller. The DRAM includes a plurality of DRAM cells, each with a capacitive storage element. The prefetcher is configured to prefetch information from the DRAM into a prefetch buffer in accordance with a prefetch pattern of addresses in the DRAM. The refresh controller includes a dynamic refresh control circuit configured to detect prefetch patterns of the prefetcher, and, in response to a detected prefetch pattern, refresh locations of the DRAM in accordance with a refresh pattern of addresses which is based on the prefetch pattern of addresses.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a body of a user involves obtaining measurement values for a physiological condition influenced by the fluid, autonomously operating the infusion device to deliver the fluid based at least in part on the measurement values, and detecting a nonactionable condition based on the measurement values. In response to detecting the nonactionable condition, delivery of the fluid is limited while maintaining autonomous operation of the infusion device. In one exemplary embodiment, the nonactionable condition is a rescue condition indicative of the user having consumed fast-acting carbohydrates, and thus insulin delivery may be automatically limited in response to detecting the rescue carbohydrate consumption.

Abstract: Techniques disclosed herein involve automatically adjusting a control parameter for an operating mode of a medical device. In some embodiments, the techniques involve obtaining data pertaining to a physiological condition of a patient during operation of the medical device. In some embodiments, the techniques further involve determining an optimized value for the control parameter using the data pertaining to the physiological condition of the patient and a cost function, wherein the cost function disproportionately penalizes for an amount of time that a physiological parameter is below a lower bound of a target range and includes a first weighting factor that is dependent on an amount of time that the physiological parameter is outside of the target range, and a second weighting factor, different from the first weighting factor, dependent on the amount of time that the physiological parameter is below the lower bound of the target range.

Abstract: Disclosed herein are techniques related to determining medical parameters. In some embodiments, the techniques involve: obtaining a metric of insulin dosage for a patient; and determining at least one carbohydrate-to-insulin ratio for the patient based at least in part on a model and using the obtained metric of insulin dosage for the patient, wherein parameters of the model were determined based on data associated with a population of patients.

Abstract: Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary infusion device includes an actuation arrangement operable to deliver fluid to a user, a communications interface to receive measurement data indicative of a physiological condition of the user, a sensing arrangement to obtain contextual measurement data, and a control system coupled to the actuation arrangement, the communications interface and the sensing arrangement to determine a command for autonomously operating the actuation arrangement in a manner that is influenced by the measurement data and the contextual measurement data and autonomously operate the actuation arrangement in accordance with the command to deliver the fluid to the user.

Abstract: Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a closed-loop mode for automatically delivering fluid based on a difference between a first setpoint value and an analyte concentration value during operation of the fluid delivery device in the closed-loop mode. Additionally, the techniques may involve obtaining a second setpoint value. The second setpoint value may be a temporary setpoint value to be used for a period of time to regulate fluid delivery, and the second setpoint value may be greater than the first setpoint value. The techniques may further involve causing operation of the fluid delivery device for automatically reducing fluid delivery for the period of time based on the second setpoint value.

Abstract: A semiconductor device and fabrication method are described for integrating a nanosheet transistor with a multimodal transistor (MMT) in a single nanosheet process flow by processing a wafer substrate to form buried metal source/drain structures in an MMT region that are laterally spaced apart from one another and positioned below an MMT semiconductor channel layer before forming a transistor stack of alternating Si and SiGe layers in an FET region which are selectively processed to form gate electrode openings so that a first ALD oxide and metal layer are patterned and etched to form gate electrodes in the transistor stack and to form a channel control gate electrode over the MMT semiconductor channel layer, and so that a second oxide and conductive layer are patterned and etched to form a current control gate electrode over the MMT semiconductor channel layer and adjacent to the channel control gate electrode.

Abstract: In general, the disclosure describes techniques for characterizing a dynamical system and a neural ordinary differential equation (NODE)-based controller for the dynamical system. An example analysis system is configured to: obtain a set of parameters of a NODE model used to implement the NODE-based controller, the NODE model trained to control the dynamical system; determine, based on the set of parameters, a system property of a combined system comprising the dynamical system and the NODE-based controller, the system property comprising one or more of an accuracy, safety, reliability, reachability, or controllability of the combined system; and output the system property to modify one or more of the dynamical system or the NODE-based controller to meet a required specification for the combined system.

Abstract: A magnetoresistive random access memory (MRAM) array includes MRAM cells, each MRAM cell having a corresponding Magnetic Tunnel Junction (MTJ) capable of being in a blown state or non-blown state, in which the blown state corresponds to a permanent breakdown of a tunnel dielectric layer of the corresponding MTJ. Write circuitry performs a one-time-programmable (OTP) write operation to blow selected MRAM cells. For each MRAM cell being blown, the write circuitry uses an initial OTP program reference for the MRAM cell being blown to detect onset of tunnel dielectric breakdown after application of each OTP write pulse of the OTP write operation. After detection of the onset, the write circuitry updates the initial OTP program reference, applies at least one additional OTP write pulse to the MRAM cell being blown, and uses the updated OTP program reference to verify that current saturation of the MRAM cell being blown has occurred.

Abstract: A computing system is configured to obtain a video that includes text elements and visual elements. The computing system is further configured to generate a plurality of text tokens representative of audio spoken in the video and a plurality of frame tokens representative of one or more frames of the video. The computing system is further configured to generate a set of features that includes a text feature, a frame feature, and a multi-modal feature, wherein the multi-modal feature is representative of multi-modal elements of the video, and wherein generating the set of features is based on the plurality of text tokens and the plurality of frame tokens. The computing system is further configured to associate the set of features with one or more labels to generate a multi-label classification of the video. The computing system is further configured to output an indication of the multi-label classification of the video.

Abstract: Disclosed are techniques related to determination of adjustments to fluid delivery settings. The techniques may involve accessing an input meal size category, where the input meal size category is selected from among a plurality of meal size categories via a user interface; accessing a plurality of groups of historical meal events for a person, where each group of the plurality of groups is associated with a respective meal size category of the plurality of meal size categories and includes respective historical meal events for the person categorized in the respective meal size category; identifying a group, in the plurality of groups of historical meal events for the person, having an associated meal size category that matches the input meal size category; identifying a person-specific carbohydrate amount representative of the historical meal events in the identified group; and determining a bolus dosage value of insulin based on the person-specific carbohydrate amount.

Abstract: Techniques disclosed herein relate to configurable target glucose values. In some embodiments, the techniques may involve modifying a glucose setpoint from a first target value to a second target value, wherein the second target value is lower than the first target value. The techniques may further involve regulating a glucose level of a patient to the modified glucose setpoint by controlling insulin delivery. The techniques may further involve after a time period has elapsed, reverting the glucose setpoint to the first target value.

Abstract: This disclosure describes machine learning techniques for capturing human knowledge for performing a task. In one example, a video device obtains video data of a first user performing the task and one or more sensors generate sensor data during performance of the task. An audio device obtains audio data describing performance of the task. A computation engine applies a machine learning system to correlate the video data to the audio data and sensor data to identify portions of the video, sensor, and audio data that depict a same step of a plurality of steps for performing the task. The machine learning system further processes the correlated data to update a domain model defining performance of the task. A training unit applies the domain model to generate training information for performing the task. An output device outputs the training information for use in training a second user to perform the task.

Abstract: A magnetoresistive random access memory (MRAM) array includes MRAM cells, each MRAM cell having a corresponding Magnetic Tunnel Junction (MTJ) capable of being in a blown state or non-blown state, in which the blown state corresponds to a permanent breakdown of a tunnel dielectric layer of the corresponding MTJ. Write circuitry performs a one-time-programmable (OTP) write operation to blow selected MRAM cells. For each MRAM cell being blown, the write circuitry uses an initial OTP program reference for the MRAM cell being blown to detect onset of tunnel dielectric breakdown after application of each OTP write pulse of the OTP write operation. After detection of the onset, the write circuitry updates the initial OTP program reference, applies at least one additional OTP write pulse to the MRAM cell being blown, and uses the updated OTP program reference to verify that current saturation of the MRAM cell being blown has occurred.

Abstract: Disclosed herein are techniques for communication of information. In some embodiments, the techniques involve receiving, at an intermediate device from a remote device, a request to initiate a first communication session. The techniques may further involve responsive to receiving the request, establishing a second communication session between the intermediate device and a medical device. The techniques may further involve responsive to establishing the second communication session, automatically transmitting, by the intermediate device to the remote device, an acknowledgement that establishes the first communication session between the intermediate device and the remote device. The techniques may further involve streaming updated control parameters to the medical device via the second communication session.

Abstract: Disclosed herein are techniques related to configurable target values. The techniques may involve identifying a target glucose value obtained based on user input. Additionally, the techniques may involve determining a fluid delivery command based on a difference between a measured glucose value and the target glucose value. The techniques may further involve causing fluid delivery by a fluid infusion device in accordance with the fluid delivery command to regulate the measured glucose value to the target glucose value.

Abstract: In an example, a method for adapting a machine learning model includes receiving a digital representation of a three-dimensional (3D) object; learning, using a surrogate model, relationships between a plurality of points on a surface of the 3D object; and generating, using the surrogate model, one or more predictions about fluid properties along the surface of the 3D object.

Abstract: A magnetoresistive random access memory (MRAM) array includes a data array and a sensor array. Each MRAM cell includes a Magnetic Tunnel Junction (MTJ). Each MRAM cell of the data array stores a data bit. A first and second column of the sensor array are connected to form a sensor column which includes sensor cells, each formed by a first MRAM cell in the first column together with a second MRAM cell in the second column along a same word line. Only one of a first MTJ of the first MRAM cell or second MTJ of the second MRAM cell is used as an MTJ of the sensor cell, and drain electrodes of select transistors of the first and second MRAM cells are electrically connected. Read circuitry provides read data from the data array and a sensor output indicative of a rupture state of an MTJ of the sensor array.

Abstract: Disclosed herein are techniques related to automatically adjusting at least one parameter of an insulin delivery controller of an insulin delivery device to regulate delivery of insulin to a user. In some embodiments, the techniques may involve obtaining therapy-related data associated with operation of the insulin delivery device for a number of days in the past. The therapy-related data including sensor glucose data for the user and meal data for the user. The techniques may also involve determining at least one adjusted parameter for the insulin delivery controller based on the therapy-related data. Additionally, the techniques may involve causing the insulin delivery controller to adjust at least one setting in accordance with the determined at least one adjusted parameter.