Abstract: A memory device includes a first chip, a second chip and a processor. The second chip is coupled to the first chip at a first node. The second chip includes a first capacitor and a first variable resistor. The first capacitor is coupled to the first node. The first variable resistor is coupled in series with the first capacitor. The processor is coupled to the first node, and is configured to perform a first read operation to the first chip via the first node. A method for operating a memory device is also disclosed herein.

Abstract: Systems and methods for mapping brain perivascular spaces. A system may include a memory to store one or more images of a brain of a patient. The system may further include a processor coupled to the memory. The processor may be configured to obtain a first and a second image of the brain. The processor may be further configured to combine the first image and the second image to preserve and magnify structures including the brain perivascular spaces within the image of the brain. The processor may be further configured to determine the brain perivascular spaces within the combined image of the brain of the patient. The processor may be further configured to generate a three-dimensional (3-D) map of the perivascular spaces. The system may further include a display configured to display the perivascular spaces to an operator.

Abstract: Methods, systems, and devices for reference voltage adjustment for word line groups are described. In some examples, one or more components of a memory system may determine a duration that data has been stored to one or more memory cells. Based on the duration, a voltage value of one or more reference voltages may be adjusted accordingly. For example, a voltage value of one or more reference voltages may be adjusted based on the duration. Moreover, the reference voltage values may be adjusted differently in response to the memory cells having stored data for a relatively longer duration, as opposed to memory cells that have stored data for a relatively shorter duration. The adjusted reference voltages may be used during a subsequent read operation. The voltage value of the one or more reference voltages may be adjusted on a word-line group by word-line group basis.

Abstract: A system and method of organically generating a camera-pose map is disclosed. A target image is obtained of a location deemed suitable for augmenting with a virtual augmentation or graphic. An initial camera-pose map is created having a limited number of calibrated camera-pose images having calculated camera-pose locations and homographies to the target image. Then, during the event, the system automatically obtains current images of the event venue and determines homographies to the nearest calibration camera-pose image in the camera-pose map. The separation in camera-pose space between the current images and the camera-pose images are calculated. If this separation is less than a predetermined threshold, that current image is fully calibrated and added to the camera-pose map, thereby growing the map organically.

Abstract: An adaptive memory management and control circuitry (AMMC) to provide extended test, performance, and power optimizing capabilities for a resistive memory is disclosed herein. In one embodiment, a resistive memory comprises a resistive memory array and an Adaptive Memory Management and Control circuitry (AMMC) that is coupled to the resistive memory array. The AMMC is configured with extended test, reliability, performance and power optimizing capabilities for the resistive memory.

Abstract: An address decoding circuit includes a decoding unit corresponding to a bank group and including first NAND gates, an address selection signal outputted by each first NAND gate controls a corresponding bank in the bank group corresponding to the decoding unit. The first NAND gate includes a first input end connected to an address signal of a bank corresponding to the first NAND gate and a second input end connected to an output end of a second NAND gate or a third NAND gate, the second NAND gate includes a first input end connected to an enable signal and a second input end connected to a control signal, and the third NAND gate includes a first input end connected to the enable signal and a second input end connected to an inverted signal of the control signal.

Abstract: Provided is a multi-modality medical image analysis method and apparatus for brain disease diagnosis. The method includes the steps of: acquiring medical images with different modalities for the same patient; selecting at least some of pre-trained analysis models corresponding to the modalities of the medical images; inputting the medical images correspondingly to the analysis models selected with respect to the modalities of the medical image to produce output values related to a plurality of factors used for reading at least one brain disease; converting the output values to produce a plurality of feature vectors corresponding to the output values; and inputting the plurality of feature vectors to at least one diagnosis model pre-trained to read the brain disease to thus predict a degree of brain disease progression.

Abstract: The invention generally relates to methods for manually calibrating imaging systems such as optical coherence tomography systems. In certain aspects, an imaging system displays an image showing a target and a reference item. A user looks at the image and indicates a point within the image near the reference item. A processer detects an actual location of the reference item within an area around the indicated point. The processer can use an expected location of the reference item with the detected actual location to calculate a calibration value and provide a calibrated image. In this way, a user can identify the actual location of the reference point and a processing algorithm can give precision to the actual location.

Abstract: A neural network system, includes: a processor configured to detect a plurality of object candidates included in a first image, generate metadata corresponding to the plurality of object candidates based on the first image, and set data processing orders of the plurality of object candidates based on the metadata; and at least one resource configured to perform data processing with respect to the plurality of object candidates. The processor is configured to sequentially provide pieces of information related to data processing of the plurality of object candidates to the at least one resource according to the set data processing orders, and the at least one resource is configured to sequentially perform data processing with respect to the plurality of object candidates according to an order in which a piece of information related to data processing of each of the plurality of object candidates is received.

Abstract: Methods, systems, and devices for cross point array architecture for multiple decks are described. A memory array may include multiple decks, such as six or eight decks. The memory array may also include sockets for coupling access lines with associated decoders. The sockets may be included in sub-blocks of the array. A sub-block may be configured to include sockets for multiple access lines. A socket may intersect an access line in the middle of the access line, or at an end of the access line. Sub-blocks containing sockets for an access line may be separated by a period based on the access line.

Abstract: A low-dose imaging method includes receiving a sparse image set of a portion of a patient's anatomy; up-sampling the sparse image set, in the sinogram domain and using a first neural network, to yield an up-sampled sinogram; generating, from the up-sampled sinogram, an initial reconstruction; and removing, from the initial reconstruction and using a second neural network, one or more artifacts in the initial reconstruction to yield a final output volume.

Abstract: The present disclosure includes apparatuses, methods, and systems for memory cell programming that cancels threshold voltage drift. An embodiment includes a memory having a plurality of memory cells, and circuitry configured to program a memory cell of the plurality of memory cells to one of two possible data states by applying a first voltage pulse to the memory cell, wherein the first voltage pulse has a first polarity and a first magnitude, and applying a second voltage pulse to the memory cell, wherein the second voltage pulse has a second polarity that is opposite the first polarity and a second magnitude that can be greater than the first magnitude.

Abstract: Implementations are described herein for predicting soil organic carbon (“SOC”) content for agricultural fields detected in digital imagery. In various implementations, one or more digital images depicting portion(s) of one or more agricultural fields may be processed. The one or more digital images may have been acquired by a vision sensor carried through the field(s) by a ground-based vehicle. Based on the processing, one or more agricultural inferences indicating agricultural practices or conditions predicted to affect SOC content may be determined. Based on the agricultural inferences, one or more predicted SOC measurements for the field(s) may be determined.

Abstract: A method and device for detecting circulating abnormal cells. The method for detecting the circulating abnormal cells comprises: respectively segmenting and labelling, by using an image processing algorithm and a morphological algorithm, cell nuclei included in dark field microscope images of a plurality of probe channels (101); inputting the dark field microscope images, in which cell nuclei are labelled, of the plurality of probe channels into a pre-built circulating abnormal cell detection model to acquire the number of staining signals included in each labelled cell nucleus in the dark field microscope image of each probe channel (102); and for each labelled cell nucleus, on the basis of the number of the staining signals included in the labelled cell nucleus in the acquired dark field microscope image of each probe channel, determining whether the labelled cell nucleus belongs to a circulating abnormal cell (103).

Abstract: A clock mode configuration circuit for a memory device. A memory system includes any number of memory devices serially connected to each other, where each memory device receives a clock signal. The clock signal can be provided either in parallel to all the memory devices or serially from memory device to memory device through a common clock input. The clock mode configuration circuit in each memory device is set to a parallel mode for receiving the parallel clock signal, and to a serial mode for receiving a source synchronous clock signal from a prior memory device. Depending on the set operating mode, the data input circuits will be configured for the corresponding data signal format, and the corresponding clock input circuits will be either enabled or disabled. The parallel mode and the serial mode is set by sensing a voltage level of a reference voltage provided to each memory device.

Abstract: Provided are a method of providing carbon emission management information, the method comprising extracting, by a carbon emission management information providing server, an area corresponding to a company to be evaluated from satellite image data of the company to be evaluated, calculating, by the carbon emission management information providing server, a greenhouse gas concentration of the area corresponding to the company to be evaluated from the satellite image data, calculating, by the carbon emission management information providing server, a change in vegetation index around the company to be evaluated from the satellite image data, analyzing, by the carbon emission management information providing server, a relationship between carbon emission management factors input in relation to the company to be evaluated, a change in the calculated greenhouse gas concentration, and the calculated change in vegetation index and generating, by the carbon emission management information providing server, carbon emi

Abstract: The present disclosure provides a memory device and accessing/de-selecting methods thereof. The memory device comprises a memory layer including a vertical three-dimensional (3D) memory array of memory cells formed therein, wherein a memory cell is accessed through a word line and a digit line orthogonal to each other, and the digit line is in a form of conductive pillar extending vertically; a pillar selection layer formed under the memory layer and having thin film transistors (TFTs) formed therein for accessing memory cells; and a peripheral circuit layer formed under the pillar selection layer and having a sense amplifier and a decoding circuitry for word lines and bit lines, wherein a TFT is configured for each pillar.

Abstract: A data transmission circuit and method, and a storage device are provided. The data transmission circuit includes a serial-parallel conversion module, a comparison module, a data conversion module and a write circuit module. The serial-parallel conversion module receives a plurality of pieces of external data in batches and outputs initial parallel data according to the external data. The comparison module compares the received initial parallel data with global data to output a comparison result. The data conversion module, responsive to that the comparison result indicates that the preset threshold is exceeded, inverts the initial parallel data and transmits the inverted data to a data bus, and responsive to that the comparison result indicates that the preset threshold is not exceeded, transmits the initial parallel data to the data bus. The write circuit module transmits data on the data bus to a global data bus.

Abstract: Systems and methods are configured to extract images from provided source data files and to preprocess such images for content-based image analysis. An image analysis system applies one or more machine-learning based models for identifying specific features within analyzed images, and for determining one or more measurements based at least in part on the identified features. Such measurements may be embodied as absolute measurements for determining an absolute distance between features, or relative measurements for determining a relative relationship between features. The determined measurements are input into one or more machine-learning based models for determining a classification for the image.

Abstract: Systems and methods are disclosed herein for detecting impurities of harvested plants in a receptacle of a harvester. In an embodiment, a harvester controller receives, from a camera facing the contents of the receptacle, an image of the contents. The harvester controller applies the image as input to a machine learning model. The harvester controller receives, as output from the machine learning model, an identification of an impurity of the harvested plants. The harvester controller transmits a control signal based on the impurity.