Abstract: The invention refers to an apparatus that allows to improve the image quality of nuclear images, e.g. PET images. The apparatus (110) comprises a providing unit (111) for providing nuclear image data of a region of interest, a providing unit (112) for providing a motion signal indicative of a motion of the region of interest, a determination unit (113) for determining different motion states of the region of interest based on the motion signal, a determination unit (114) for determining for each motion state nuclear image data corresponding to the motion state, a reconstruction unit (115) for reconstructing an absorption map for each motion state based on the corresponding nuclear image data of the respective motion state, and a reconstruction unit (116) for reconstructing one or more nuclear images of the region of interest based on the nuclear image data and the absorption maps reconstructed for each motion state.

Abstract: A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (181, 182, 20) to perform an imaging method (100). The method includes: reconstructing emission imaging data to generate an emission image of a lesion; converting intensity values of the emission image to at least one standardized uptake value (SUV value) for the lesion; processing input data using a regression neural network (NN) (28) to output an SUV correction factor for the lesion, wherein the input data includes at least two of (i) image data comprising the emission image or a feature vector representing the emission image, (ii) the at least one SUV value, (iii) a size of the lesion, and (iv) reconstruction parameters used in the reconstructing; and controlling a display device (24) to display at least one of (I) the SUV correction factor and (II) a corrected SUV value generated by applying the SUV correction factor to the at least one SUV value.

Abstract: The disclosure relates to methods and systems of providing secure remote health data routing for diagnostics, treatment, monitoring, and/or other health data. The system may use an anonymized identification (ID) token that may protect privacy and ensure security. The ID token may be attached with additional data such as electronic medical record (EMR) data. As such, the system may digitize and securely transmit EMR data to appropriate constituents. The system may apply routing rules and routing tables to identify the appropriate constituents. The system may also route the EMR data for storage at a user's personal device, which may include a chip card or a user device. As such, the user's personal device may store an EMR based on the EMR data, including proof of health, such as vaccination, and other health data relating to the user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for three-dimensionally stacked neural network accelerators. In one aspect, a method includes obtaining data specifying that a tile from a plurality of tiles in a three-dimensionally stacked neural network accelerator is a faulty tile. The three-dimensionally stacked neural network accelerator includes a plurality of neural network dies, each neural network die including a respective plurality of tiles, each tile has input and output connections. The three-dimensionally stacked neural network accelerator is configured to process inputs by routing the input through each of the plurality of tiles according to a dataflow configuration and modifying the dataflow configuration to route an output of a tile before the faulty tile in the dataflow configuration to an input connection of a tile that is positioned above or below the faulty tile on a different neural network die than the faulty tile.

Abstract: The disclosure relates to methods and systems of providing secure remote health data routing for diagnostics, treatment, monitoring, and/or other health data. The system may use an anonymized identification (ID) token that may protect privacy and ensure security. The ID token may be attached with additional data such as electronic medical record (EMR) data. As such, the system may digitize and securely transmit EMR data to appropriate constituents. The system may apply routing rules and routing tables to identify the appropriate constituents. The system may also route the EMR data for storage at a user's personal device, which may include a chip card or a user device. As such, the user's personal device may store an EMR based on the EMR data, including proof of health, such as vaccination, and other health data relating to the user.

Abstract: Techniques for implementing a hardware-based cache controller in, e.g., a tiered memory computer system are provided. In one set of embodiments, the cache controller can flexibly operate in a number of different modes that aid the OS/hypervisor of the computer system in managing and optimizing its use of the system's memory tiers. In another set of embodiments, the cache controller can implement a hardware architecture that enables it to significantly reduce the probability of tag collisions, decouple cache capacity management from cache lookup and allocation, and handle multiple concurrent cache transactions.

Abstract: Techniques for implementing a hardware-based cache controller in, e.g., a tiered memory computer system are provided. In one set of embodiments, the cache controller can flexibly operate in a number of different modes that aid the OS/hypervisor of the computer system in managing and optimizing its use of the system's memory tiers. In another set of embodiments, the cache controller can implement a hardware architecture that enables it to significantly reduce the probability of tag collisions, decouple cache capacity management from cache lookup and allocation, and handle multiple concurrent cache transactions.

Abstract: Techniques for implementing a hardware-based cache controller in, e.g., a tiered memory computer system are provided. In one set of embodiments, the cache controller can flexibly operate in a number of different modes that aid the OS/hypervisor of the computer system in managing and optimizing its use of the system's memory tiers. In another set of embodiments, the cache controller can implement a hardware architecture that enables it to significantly reduce the probability of tag collisions, decouple cache capacity management from cache lookup and allocation, and handle multiple concurrent cache transactions.

Abstract: A memory hierarchy includes a first memory and a second memory that is at a lower position in the memory hierarchy than the first memory. A method of managing the memory hierarchy includes: observing, over a first period of time, accesses to pages of the first memory; in response to determining that no page in a first group of pages was accessed during the first period of time, moving each page in the first group of pages from the first memory to the second memory; and in response to determining that the number of pages in other groups of pages of the first memory, which were accessed during the first period of time, is less than a threshold number of pages, moving each page in the other group of pages, that was not accessed during the first period of time from the first memory to the second memory.

Abstract: Described herein are systems, methods, and software to manage time calibration associated with an oscillator of a computing system. In one example, a computing system monitors clock cycles for an oscillator on the computing system, receives timing messages from a server, and calculates the frequency of the oscillator at intervals based on the monitored clock cycles and timing messages. The computing system further identifies a temperature from a temperature sensor at each of the intervals and generates a function to demonstrate frequency of the oscillator versus temperatures from the temperature sensor based on the identified temperatures and frequencies at the intervals.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for three-dimensionally stacked neural network accelerators. In one aspect, a method includes obtaining data specifying that a tile from a plurality of tiles in a three-dimensionally stacked neural network accelerator is a faulty tile. The three-dimensionally stacked neural network accelerator includes a plurality of neural network dies, each neural network die including a respective plurality of tiles, each tile has input and output connections. The three-dimensionally stacked neural network accelerator is configured to process inputs by routing the input through each of the plurality of tiles according to a dataflow configuration and modifying the dataflow configuration to route an output of a tile before the faulty tile in the dataflow configuration to an input connection of a tile that is positioned above or below the faulty tile on a different neural network die than the faulty tile.

Abstract: Systems and methods are described for specifying capability requirements and/or performance criteria, generating a device certification profile, conducting a test based on the device certification profile, and generating a device certificate based on the test. Applications on the device may use the device certificate to enable or disable various functions that access a service that may require a device to have certain capability requirements and/or performance criteria.

Abstract: A three dimensional neural network accelerator that includes a first neural network accelerator tile that includes a first transmission coil, and a second neural network accelerator tile that includes a second transmission coil, wherein the first neural network accelerator tile is adjacent to and aligned vertically with the second neural network accelerator tile, and wherein the first transmission coil is configured to wirelessly communicate with the second transmission coil via inductive coupling.

Abstract: A global fluid identity repository is used to maintain and manage fluid characterization data for various fluids utilized in the oil & gas industry, e.g., reservoir fluids within subsurface formations. Tracking and notification services may be utilized to track changes made to a global fluid identity, e.g., changes in fluid sample and/or experiment data for a fluid, and automatically generate notifications when downstream data such as fluid models and/or simulation results become stale as a result of these changes.

Abstract: In one set of embodiments, a hardware module of a computer system can receive a stream of addresses corresponding to memory units being accessed by a central processing unit (CPU) of the computer system. The hardware module can further generate a frequency estimate for each address in the stream of addresses, the frequency estimate being indicative of a number of times a memory unit identified by the address has been accessed by the CPU, and can determine, based on the generated frequency estimates, a set of n most frequently accessed memory units.

Abstract: An optically structured element (1) for minimizing or preventing bird collisions, includes a carrier element (2), a high-reflectivity region (3), and a low-reflectivity region (4); which is distinguished in that a double cone reflectance difference of a first double cone reflectance of the high-reflectivity region (3) and a second double cone reflectance of the low-reflectivity region (4) is greater than or equal to 5% and a VIS transmission ratio of the first VIS transmittance and the second VIS transmittance is greater than or equal to 70% and less than or equal to 200%.

Abstract: In one set of embodiments, a hardware module of a computer system can receive a stream of addresses corresponding to memory units being accessed by a central processing unit (CPU) of the computer system. The hardware module can further generate a frequency estimate for each address in the stream of addresses, the frequency estimate being indicative of a number of times a memory unit identified by the address has been accessed by the CPU, and can determine, based on the generated frequency estimates, a set of n most frequently accessed memory units.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for three-dimensionally stacked neural network accelerators. In one aspect, a method includes obtaining data specifying that a tile from a plurality of tiles in a three-dimensionally stacked neural network accelerator is a faulty tile. The three-dimensionally stacked neural network accelerator includes a plurality of neural network dies, each neural network die including a respective plurality of tiles, each tile has input and output connections. The three-dimensionally stacked neural network accelerator is configured to process inputs by routing the input through each of the plurality of tiles according to a dataflow configuration and modifying the dataflow configuration to route an output of a tile before the faulty tile in the dataflow configuration to an input connection of a tile that is positioned above or below the faulty tile on a different neural network die than the faulty tile.

Abstract: A global fluid identity repository is used to maintain and manage fluid characterization data for various fluids utilized in the oil & gas industry, e.g., reservoir fluids within subsurface formations. Tracking and notification services may be utilized to track changes made to a global fluid identity, e.g., changes in fluid sample and/or experiment data for a fluid, and automatically generate notifications when downstream data such as fluid models and/or simulation results become stale as a result of these changes.

Abstract: Data processing systems (DPS) and related methods for nuclear medicine imaging. At an input interface (IN), first projection data (?), or a first image (V) reconstructable from the first projection data, is received. The first projection data is associated with a first waiting period (?T*). The first waiting period indicates the time period from administration of a tracer agent to a start of acquisition by a nuclear medicine imaging apparatus (IA) of the projection date. A trained machine learning module (MLM) estimates, based on the first projection data (?) or on the first image (V), a second projection data (??) or a second image (V?) associable with a second waiting period (?T), longer than the first waiting period (?T*). Nuclear imaging can thus be conducted quicker. Similar machine learning based data processing systems and related methods are also envisaged to reduce acquisition time periods or the time it takes to reconstruct imagery.