Abstract: A method may receive historical metabolic values for an individual having a first medical condition. A method may provide a first subset of the historical metabolic values to a machine learning model to train a generative machine learning model. A method may generate a first predicted metabolic value based on the first subset of historical metabolic values. A method may calculate a root mean square error (RMSE) between the first predicted metabolic value and a corresponding actual metabolic value of a second subset of historical metabolic values. A method may train the generative machine learning model to minimize the RMSE. A method may generate a trained generative machine learning model based on the training.

Abstract: A convolutional neural network (CNN) system is provided that includes a flexible accelerator configured to convert an input feature map into a set of input sub-feature maps, each having a similar amount of sparsity. The system allows each of the sub-feature maps to be processed independently while taking advantage of the sparsity. In some aspects, the CNN system is configured with an index processor that receives data value indexes and weight indexes and generates data path processor commands for processing by a separate data path processor. In other aspects, unroll circuitry is configured to unroll feature maps to provide index-value compression. The unroll/compression scheme allows an input feature map to be read sequentially (tile-by-tile) so that an accumulate buffer can be implemented with a single read-only path and single write-only path. This can simplify memory control design, eliminating requirements for expensive cache-like structures while also reducing power.

Abstract: An electronic display may include an ambient light sensor (ALS) located beneath an active area to sense ambient light above the active area. The ALS may have multiple response channels to perform fast sensing integration, which is synchronized with blanking periods of a pixel on the active area. An emission mask and a heat map may be generated for the ALS and used to generate a calibrated heat map for the ALS. The calibrated heat map of the ALS is used with display content to calculate a crosstalk compensation for the ALS.

Abstract: Methods and devices include predicting future glucose and engagement levels for a user by receiving the user's glucose levels collected by a continuous glucose monitoring (CGM) device over a time period, receiving engagement data associated with the user, wherein the engagement data are associated with the user's medication intake, diet, physical activity, laboratory results, and education activity, determining a first glycemia risk index (GRI) value, determining, using a machine learning model and responsive to the user's glucose levels and the engagement data collected over the time period, one or more predictions for future glucose levels for the user including a prediction that a future GRI value is greater than or less than the first GRI value, and determining, using the machine learning model and responsive to the user's engagement data collected over the time period, one or more predictions for future engagement levels.

Abstract: A first plurality of integrated circuit blocks of a first chip are connected to a second plurality of integrated circuit blocks of a second chip. A cluster remapping table is provided on the second chip and is to be programmed to identify a desired asymmetric topology of the connections between the first plurality of integrated circuit blocks and the second plurality of integrated circuit blocks. Logic is to discover the actual topology of the connections between the first plurality of integrated circuit blocks and the second plurality of integrated circuit blocks and determine whether the actual topology matches the desired topology as described in the cluster remapping table.

Abstract: An electronic device includes a shared epitaxial structure, an array of photodiodes formed in the shared epitaxial structure, and a readout circuit. The array of photodiodes is disposed between a first axis and a second axis, with the second axis orthogonal to the first axis. The array of photodiodes has an absence of guard structures between adjacent photodiodes. The readout circuit is electrically connected to the array of photodiodes and operable to read out values for different photodiodes or different subsets of photodiodes in the array of photodiodes.

Abstract: An electronic device may have a sensor to measure ambient flicker. The sensor may be a sigma-delta converter. The flicker may be calculated based on the voltage output of the sigma-delta converter and the number of times the sigma-delta converter is triggered during a predetermined period, thereby reducing the voltage output. In particular, a fast Fourier transform (FFT) may be used on these values to determine the flicker. If desired, filtering and/or non-uniform sampling may be incorporated to avoid aliasing. Additionally or alternatively, a Lomb-Scargle spectral analysis may be used to prevent the attenuation of the measured flicker signals. As an alternative to using a sigma-delta converter to determine ambient flicker, a folding capacitive transimpedance amplifier (C-TIA) circuit or a circuit with an analog to digital converter and digital filter may be used to measure the ambient flicker.

Abstract: Methods and devices include predicting future glucose and engagement levels for a user by receiving the user's glucose levels collected by a continuous glucose monitoring (CGM) device over a time period, receiving engagement data associated with the user, wherein the engagement data are associated with the user's medication intake, diet, physical activity, laboratory results, and education activity, determining a first glycemia risk index (GRI) value, determining, using a machine learning model and responsive to the user's glucose levels and the engagement data collected over the time period, one or more predictions for future glucose levels for the user including a prediction that a future GRI value is greater than or less than the first GRI value, and determining, using the machine learning model and responsive to the user's engagement data collected over the time period, one or more predictions for future engagement levels.

Abstract: Methods, computer-readable media, and systems for providing disease management. In one implementation, a system develops a treatment recommendation for a patient based on patient data. The system may receive patient data, execute a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data, perform a statistical analysis of the patient data to detect data excursions of the parameter values; use the modified model to determine factors causing the data excursions; and use the model to develop a treatment recommendation to ameliorate negative effects of the disease.

Abstract: Examples described herein relate to an apparatus that includes an interface and circuitry to: prior to boot of a processor, configure a memory address decoder to increase a memory region size associated with firmware access from a first size to a second size, wherein the second size is larger than the first size. In some examples, the memory address decoder is to decode an address space in a Serial Peripheral Interface (SPI) flash device to determine a location of a Firmware Interface Table (FIT) in the second size of the memory region and the second circuitry is to access an entry in the FIT to determine a location of a boot firmware.

Abstract: There is described an acrylic polyester resin, obtainable by grafting an acrylic polymer with a polyester material. The polyester material is obtainable by polymerizing (i) a polyacid component, with (ii) a polyol component, including—2,2,4,4-tetraalkylcyclobutane-1,3-diol. One of the polyacid component or the polyol component comprises a functional monomer operable to impart functionality on to the polyester resin, such that an acrylic polymer may be grafted with the polyester material via the use of said functionality. Also provided is an aqueous coating composition comprising the acrylic polyester resin and a metal packaging containing coated with the composition.

Abstract: A Cloud Service Provider reconfigures a memory subsystem during routine operation, while minimizing the amount of time a server is not online. Server downtime is reduced by offloading reconfiguration of system memory to the operating system with platform assistance. The operating system enumerates potential memory configurations of the memory subsystem with associated performance characteristics in an abstracted manner and performs reconfiguration of the memory subsystem without a cold reset. When reconfiguration of the memory subsystem is deemed necessary by the operating system, the operating system examines the enumerated memory subsystem configurations provided by system firmware. After selecting the memory subsystem configuration, the operating system initiates a reconfiguration process.

Abstract: Methods, computer-readable media, and systems for providing disease management. In one implementation, a system develops a treatment recommendation for a patient based on patient data. The system may receive patient data, execute a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data, perform a statistical analysis of the patient data to detect data excursions of the parameter values; use the modified model to determine factors causing the data excursions; and use the model to develop a treatment recommendation to ameliorate negative effects of the disease.

Abstract: There is described an acrylic polyester resin, obtainable by grafting an acrylic polymer with a polyester material. The polyester material is obtainable by polymerizing (i) a polyacid component, with (ii) a polyol component, including—2,2,4,4-tetraallcylcyclobutane-1,3-diol. One of the polyacid component or the polyol component comprises a functional monomer operable to impart functionality on to the polyester resin, such that an acrylic polymer may be grafted with the polyester material via the use of said functionality. Also provided is an aqueous coating composition comprising the acrylic polyester resin and a metal packaging containing coated with the composition.

Abstract: An electronic device may have an ambient light sensor for gathering ambient light measurements. The ambient light sensor may include multiple channels for measuring different wavelengths of ambient light. An additional, modified, channel may be formed in the ambient light sensor to measure radio-frequency signals that may interfere with the ambient light measurements due to electromagnetic interference. Alternatively, circuitry separate from the ambient light sensor, such as an antenna, may measure the radio-frequency signals. If the radio-frequency signals exceed a threshold, the ambient light sensor measurements taken in the presence of the radio-frequency signals may be discarded or corrected. If the radio-frequency signals do not exceed a threshold, the ambient light sensor measurements may be kept. Therefore, the ambient light measurements that are kept and relied upon by the electronic device may be free from electromagnetic interference.

Abstract: Systems, methods, and apparatuses to implement spatially unique and location independent persistent memory encryption are described. In one embodiment, a system on a chip (SoC) includes at least one persistent range register to indicate a persistent range of memory, an address modifying circuit to check if an address for a memory store request is within the persistent range indicated by the at least one persistent range register, and append a unique identifier value, for a component corresponding to the memory store request for the address, to the address to generate a modified address and output the modified address as an output address when the address is within the persistent range, and output the address as the output address when the address is not within the persistent range, and an encryption engine circuit to generate a ciphertext based on the output address.

Abstract: Methods to dynamically configure, monitor and govern PCH Chipsets in platforms as extended IO-expander(s) and associated apparatus. A multi-role PCH is provided that may be dynamically configured as a legacy PCH to facilitate booting for platforms without bootable CPUs and as IO-expanders in single-socket and multi-socket platforms. A control entity is coupled to the PCHs and is used to effect boot, reset, wake, and power management operations by exchanging handshake singles with the PCHs and providing control inputs to CPUs on the platforms. The single-socket platform configurations include a platform with a CPU with bootable logic coupled to an IO-expander and a platform with a legacy CPU coupled to a legacy PCH.

Abstract: Techniques and mechanisms for identifying a memory access resource which is to be a target of an access request. In an embodiment, a processor comprises route tables which are to provide entries corresponding to different respective memory access resources which are coupled to the processor. The processor further comprises a list of items which each correspond to a different respective range of addresses, wherein the items each include an identifier of a respective route table, and an identifier of a respective index offset. Based on an address of the access request, a decoder circuit of the processor searches the list to identify a corresponding one of the items. In another embodiment, the decoder circuit accesses a route table entry, based on the search, to determine how the access request is to be directed to a particular memory access resource.

Abstract: Systems, methods, and computer products are described herein for identifying data inconsistencies within database tables associated with an application. A master data inconsistency evaluator receives data including at least one selection parameter within at least one database table. By the master data inconsistency evaluator evaluates the at least one selection parameter by comparing the at least one selection parameter with other database tables associated with the application to identify data inconsistencies. The master data inconsistency evaluator repairs the data inconsistencies to further facilitate an error free transaction.

Abstract: Embodiments of apparatuses, methods, and systems for flexible provisioning of coherent memory address decoders in hardware are disclosed. In an embodiment, an apparatus includes a plurality of address decoders and a plurality of configuration storage locations. Each of the configuration storage locations corresponds to one of the plurality of address decoders to configure the corresponding one of the plurality of address decoders to decode based on a corresponding one of a plurality of decode rules. Each of the plurality of configuration storage locations is allocated to one of a plurality of memory tiers.