Abstract: An array of bit cells is programmed with user data, each row including a corresponding word line and each column including a corresponding column line. The array includes a plurality of differential PUF bits, each having a first and second bit cell programmed with user data. A first set of sense-amplifiers outputs a set of data bits of the user data, and a second set of sense-amplifiers outputs a set of differential bits, each differential bit based on a differential current between two columns lines of the selected column lines corresponding to the first and second bit cells of a corresponding differential PUF bit along the selected word line. A potential PUF bit generator outputs a set of potential PUF bits based on the set of data bits of the user data from the first set of sense-amplifiers and the set of differential bits from the second set of sense-amplifiers.

Abstract: In an example, a method of designing a system or architecture includes, receiving a plurality of parameter values and a set of requirements for a plurality of objective functions related to a design problem; compressing the plurality of parameters to generate a latent representation; forward processing, with one or more Invertible Neural Networks (INNs), the latent representation to generate a plurality of objective values corresponding to the plurality of the objective functions; inverse processing the plurality of objective values; and generating, based on the latent representation, a plurality of solutions to the design problem that satisfy the set of requirements for the plurality of objective functions.

Abstract: A processor-implemented method for closed-loop control in steady-state conditions includes determining, based on data including historical bolus information but excluding historical basal information, an amount of unmetabolized therapeutic substance in a patient; determining, based on a difference between a most recent measurement of a physiological condition of the patient and a target value for the physiological condition, a first amount or rate of a basal dosage for delivery to the patient; adjusting, based on the amount of unmetabolized therapeutic substance, the first amount or rate of the basal dosage to determine a second amount or rate of the basal dosage; and causing delivery of the second amount or rate of the basal dosage based on communicating the second amount or rate in a delivery command.

Abstract: Subject matter disclosed herein relates to a method and/or system for tailoring insulin therapies to physiological characteristics of a patient. In particular, observations of a blood glucose concentration of a patient responsive to a meal profile and an insulin profile may be used for estimating one or more physiological parameters.

Abstract: Technologies are provided for classifying detected events as labeled event combinations. Input data for different combinations of detected events are received at a server system, and each combination of detected events is processed at the server system. Processing can include classifying that combination of detected events at a classifier to map that combination of detected events to a probability of an increased insulin delivery demand or a probability of a decreased insulin delivery demand, and labeling each classified combination of detected events with a label to generate a corresponding labeled event combination that has the probability of the increased insulin delivery demand or the probability of the decreased insulin delivery demand. Each labeled event combination can be stored in storage as a database of labeled event combinations, and selected ones of the labeled event combinations can be processed at a client application to generate an output result.

Abstract: A processor-implemented method includes obtaining measurement data indicative of a physiological condition measured by a sensing arrangement located at a site on a body, determining a lag associated with the sensing arrangement based on a relationship between the measurement data and reference data, and identifying, based on the lag, the site at which the sensing arrangement is located from a plurality of sites on the body.

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: Techniques related to automatically generating a super bolus may include determining an amount of an augmented meal bolus to be delivered to a patient for regulating the patient's glycemic response to a meal. The amount of the augmented meal bolus may exceed a sufficient amount for counteracting a glucose level increase caused by the meal. In some embodiments, the techniques may further include determining a duration of a postprandial reduction period during which basal dosage deliveries to the patient are to be reduced. In some other embodiments, the techniques may further include delivering the augmented meal bolus to the patient prior to determining whether or not to cause reduction of basal dosage deliveries. More specifically, a glucose level of the patient may be obtained after delivery of the augmented meal bolus, and the obtained glucose level may be used to determine whether to reduce basal dosage deliveries.

Abstract: A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of receiving, via a user interface, confirmation input that indicates user acceptance of a blood glucose (BG) measurement generated by a BG meter device, in response to receiving the confirmation input, using the BG measurement for performing both glucose sensor calibration and bolus calculation, and causing delivery of a bolus based on outputting a delivery command in accordance with the bolus calculation.

Abstract: Disclosed herein are techniques related to automatic real-time meal detection. In some embodiments, the techniques involve obtaining a plurality of glucose concentration values and a plurality of plasma insulin concentration estimations, each glucose concentration value corresponding with a respective plasma insulin concentration estimation; generating an output based on applying a meal detection model to the plurality of glucose concentration values and the plurality of plasma insulin concentration estimations; and determining, based on the output, that a glucose concentration value of the plurality of glucose concentration values corresponds to an ongoing glycemic response to a meal.

Abstract: A semiconductor device and fabrication method are described for integrating stacked top and bottom nanosheet transistors by providing a nanosheet transistor stack having bottom and top Si/SiGe superlattice structures (11-14, 17-20) which are separated from one another by a barrier oxide layer (15) and which are separately processed to form bottom gate electrodes having a first gate structure (40A-B) in the bottom Si/SiGe superlattice structures and to form top gate electrodes having a second, different gate structure (46A-B) in the top Si/SiGe superlattice structures.

Abstract: Techniques disclosed herein relate to infusion devices and related meal bolus adjustment methods. In some embodiments, the techniques may involve determining an initial bolus amount. The techniques may further involve predicting a value for a first physiological condition based at least in part on the initial bolus amount. The techniques may further involve when the predicted value for the first physiological condition violates a threshold: identifying an adjusted bolus amount that results in the predicted value for the first physiological condition satisfying the threshold, and causing delivery of the adjusted bolus amount.

Abstract: A nanosheet semiconductor device and fabrication method are described for integrating the fabrication of nanosheet transistors (71) and capacitors/sensors (72) in a single nanosheet process flow by forming separate transistor and capacitor/sensor stacks (12A-16A, 12B-16B) which are selectively processed to form gate electrode structures (68A-C) which replace remnant SiGe sandwich layers in the transistor stack, to form silicon fixed electrodes using silicon nanosheets (13C, 15C) on a first side of the capacitor/sensor stack, and to form SiGe fixed electrodes using SiGe nanosheets (12C, 14C, 16C) from the middle of remnant SiGe sandwich layers in the capacitor/sensor stack (e.g., 16-2) which are separated from the silicon fixed electrodes by selectively removing top and bottom SiGe nanosheets (e.g., 16-1, 16-3) from the remnant SiGe sandwich layers in the capacitor/sensor stack.

Abstract: In general, the disclosure describes techniques for parameterizing building information using images. In an example, a method includes receiving an image of a building; applying, by a machine learning system, a machine learning model to the received image of a building to generate, for a new building, new building parameters to be input to a building information modeling (BIM) data generation system, wherein the machine learning model is trained using images of buildings and corresponding building parameters for the buildings; and outputting, by the machine learning system, the new building parameters for the new building.

Abstract: A magnetoresistive random-access memory (MRAM) device includes an array of MRAM bit cells grouped into words, each word having specified number of data bit cells, error correction code (ECC) bit cells, and at least two inversion indicator bit cells, the inversion indicator bit cells being redundant of each other; and a memory controller. The memory controller is configured to, for each of the words, set the inversion indicator bit cells to indicate whether the number of data bit cells in a word having a zero value is greater than the number of data bit cells having a one value, invert the zeroes and ones in the bit cells when the inversion indicator bit cells are set to indicate a greater number of zeroes than ones in the data bit cells of the word, and revert the data bit cells to their value before the zeroes and ones were inverted.

Abstract: Disclosed herein are techniques related to automatic real-time meal detection. In some embodiments, the techniques involve obtaining a plurality of glucose concentration values and a plurality of plasma insulin concentration estimations, each glucose concentration value corresponding with a respective plasma insulin concentration estimation; generating an output based on applying a meal detection model to the plurality of glucose concentration values and the plurality of plasma insulin concentration estimations; and determining, based on the output, that a glucose concentration value of the plurality of glucose concentration values corresponds to an ongoing glycemic response to a meal.

Abstract: Techniques disclosed herein relate to operating a fluid delivery device in a personalized manner based at least in part on historical data of a patient. In some embodiments, the techniques involve determining a predicted physiological condition of a patient in response to a future activity of the patient, based at least in part on historical data corresponding to the future activity for the patient; determining, based at least in part on the predicted physiological condition of the patient, an adjustment to fluid delivery to the patient by a medical device to prospectively account for the future activity; and operating the medical device to deliver a fluid to the patient in accordance with the adjustment.

Abstract: Techniques related to automatically generating a super bolus may include determining an amount of an augmented meal bolus to be delivered to a patient for regulating the patient's glycemic response to a meal. The amount of the augmented meal bolus may exceed a sufficient amount for counteracting a glucose level increase caused by the meal. In some embodiments, the techniques may further include determining a duration of a postprandial reduction period during which basal dosage deliveries to the patient are to be reduced. In some other embodiments, the techniques may further include delivering the augmented meal bolus to the patient prior to determining whether or not to cause reduction of basal dosage deliveries. More specifically, a glucose level of the patient may be obtained after delivery of the augmented meal bolus, and the obtained glucose level may be used to determine whether to reduce basal dosage deliveries.

Abstract: Techniques disclosed herein relate to safe correction boluses. In some embodiments, the techniques involve predicting a future glucose level that would result from delivery of a correction bolus. The techniques may also involve comparing the future glucose level to a threshold level for hypoglycemia. The techniques may further involve causing delivery of the correction bolus when the future glucose level is above the threshold level for hypoglycemia.

Abstract: Medical devices and related systems and operating methods are provided. A method of operating an infusion device capable of delivering fluid influencing a physiological condition to a patient involves obtaining an event indication, such as a meal indication, determining an initial bolus amount based on the event indication, and determining predicted values for the physiological condition of the patient during a time window into the future based at least in part on the initial bolus amount. When the predicted values violate a threshold during the time window, the control system identifies an adjusted bolus amount that results in the predicted values for the physiological condition satisfying the threshold during the time window from within a search space defined by the initial bolus amount and operates an actuation arrangement of the infusion device to deliver the adjusted bolus amount of the fluid to the patient.