Abstract: Apparatus and methods are described for use with a bodily emission of a subject that is disposed within a toilet bowl. While the bodily emission is disposed within the toilet bowl, light is received from the toilet bowl using one or more light sensors. Using a computer processor, intensities of at least two spectral bands that are within a range of 530 nm to 785 nm are determined, by analyzing the received light, and a ratio of the intensities of the two spectral bands is determined. In response thereto, the computer processor determines that there is a presence of blood within the bodily emission. The computer processor generates an output on an output device, at least partially in response thereto. Other applications are also described.

Abstract: A computing system includes a processor and a non-transitory, computer-readable medium including instructions that, when executed by the processor, causes the computing system to receive a machine data set; process the machine data set using a trained machine-learned model to generate predicted variety profile index values, and transmit the variety profile index values to a client computing device. A computer-implemented method includes receiving a machine data set; processing the machine data set using a trained machine-learned model to generate predicted variety profile index values, and transmitting the variety profile index values to a client computing device.

Abstract: A system for adjusting the pose of a camera relative to a subject in a scene is provided. The system comprises a camera operable to capture images of a scene; an identification unit configured to identify an object of interest in images of the scene; a pose processor configured to obtain a pose of the object of interest in the scene relative to the camera; a scene analyser operable to determine, based on at least one of the obtained pose of the object of interest and images captured by the camera, a scene quality associated with images captured by the camera. A controller is configured to cause the pose of the camera to be adjusted based on a determination that the scene quality of an image captured at a current pose is less than a threshold value. A corresponding device is also provided.

Abstract: A system includes one or more processors; and one or more non-transitory, computer-readable media including instructions that, when executed by the one or more processors, cause the computing system to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed. A computer-implemented method includes receiving a machine data set; processing the machine data set with a trained machine-learned model to generate predicted variety profile index values; and causing a visualization to be displayed. A non-transitory computer-readable medium includes computer-executable instructions that, when executed by one or more processors, cause a computer to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed.

Abstract: The present disclosure relates to a system and method for extracting a region of interest. Image data in a first sectional plane may be acquired. The image data in the first sectional plane may include at least one first slice image and one second slice image. A first region of interest (ROI) in the first slice image may be determined. A second ROI in the second slice image may be determined. A first volume of interest (VOI) may be determined based on the first ROI, the second ROI, and characteristic information of the image data in the first sectional plane.

Abstract: A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses an image captured by the one or more sensors and identifies a distance value associated with each pixel of the image. The distance value corresponds to a distance between a point and an object that the pixel represents. The control system classifies pixels in the image as crop, plant, ground, etc. based on depth information in in the pixels. The control system generates a labelled point cloud using the labels and depth information, and identifies features about the crops, plants, ground, etc. in the point cloud. The control system generates treatment actions based on any of the depth information, visual information, point cloud, and feature values. The control system actuates a treatment mechanism based on the classified pixels.

Abstract: A fluorescence molecular tomography reconstruction method includes: obtaining an MPI three-dimensional tomographic image, a body surface near-infrared fluorescence two-dimensional image, and a CT image; constructing an SIS capable of accommodating the ROI, and discretizing the SIS by using a finite element method; performing data mapping to obtain detected surface fluorescence signals, a prior of the anatomical structure of tissues and organs around the tumor and a prior of the tumor; performing forward model calculation to obtain a system matrix and constructing an objective function; iteratively solving the objective function based on the Laplacian regularization matrix to obtain a fluorescence molecular tomography reconstruction result; the present invention adopts MPI to guide the FMT, achieving complete morphology and structure, clear tissue edges, and high accuracy of spatial position.

Abstract: The present technique relates to an image processing apparatus, an image processing method, and a program that can easily execute a stitching process. Provided are: an image generation unit that generates a first reference image regarding a first imaging region on the basis of a plurality of first images regarding the first imaging region and that generates a second reference image regarding a second imaging region at least partially overlapping with the first imaging region on the basis of a plurality of second images regarding the second imaging region; and a processing unit that generates positioning information indicating a correspondence between the first imaging region and the second imaging region on the basis of the first reference image and the second reference image. The present technique can be applied to, for example, an image processing apparatus that executes a stitching process of a plurality of images.

Abstract: A medical care support device includes an acquisition unit that acquires medical information including medical image data representing a medical image obtained by imaging a bone of a subject and age information representing an age of the subject in a case where the medical image is imaged, a derivation unit that derives presence or absence of a fracture in a growth plate of the subject, based on the medical information acquired by the acquisition unit and a learned model learned in advance using a plurality of pieces of learning medical information including the medical image data and the age information, and a warning information output unit that outputs warning information representing a warning in a case where the growth plate of the subject is fractured.

Abstract: Methods, devices, arrays and systems for reducing standby power for a floating body memory array. One method includes counting bits of data before data enters the array, wherein the counting includes counting at least one of: a total number of bits at state 1 and a total number of all bits; a total number of bits at state 0 and the total number of all bits; or the total number of bits at state 1 and the total number of bits at state 0. This method further includes detecting whether the total number of bits at state 1 is greater than the total number of bits at state 0; setting an inversion bit when the total number of bits at state 1 is greater than the total number of bits at state 0; and inverting contents of all the bits of data before writing the bits of data to the memory array when the inversion bit has been set.

Abstract: Methods, systems, and devices for cleaning memory blocks using multiple types of write operations are described. A counter may be incremented each time a write command is received. In response to the counter reaching a threshold, the counter may be reset and a flag may be set. Each time a cleaning of a memory block is to take place, the flag may be checked. If the flag is set, the memory block may be cleaned using a second type of cleaning operation, such as one using a force write approach. Otherwise, the memory block may be cleaned using a first type of cleaning operation, such as one using a normal write approach. Once set, the flag may be reset after one or more memory blocks are cleaned using the second type of cleaning operation.

Abstract: A method for characterization of coronary plaque tissue data and perivascular tissue data using image data gathered from a computed tomography (CT) scan along a blood vessel, the image information including radiodensity values of coronary plaque and perivascular tissue located adjacent to the coronary plaque, the method comprising quantifying radiodensity in regions of coronary plaque, quantifying, radiodensity in at least one region of corresponding perivascular tissue adjacent to the coronary plaque, determining gradients of the quantified radiodensity values within the coronary plaque and the quantified radiodensity values within the corresponding perivascular tissue, and determining a ratio of the quantified radiodensity values within the coronary plaque and the corresponding perivascular tissue; and characterizing the coronary plaque by analyzing a gradient of the quantified radiodensity values in the coronary plaque and the corresponding perivascular, and/or the ratio of the coronary plaque radiodensity

Abstract: The present invention relates to the technical field of field crop cultivation, more particularly to a training method, an evaluation method, an electronic device and a storage medium. According to the present invention, a multispectral three-dimensional point cloud map is obtained through depth information and multispectral information, and the multispectral three-dimensional point cloud map is analyzed by utilizing an FVNet three-dimensional target detection algorithm, thereby acquiring crop feature information. Thus, more comprehensive crop information can be obtained, and a crop state evaluation model constructed based on an artificial neural network can be further trained with the crop feature information.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for efficiently, quickly, and flexibly applying median filters to digital image utilizing a separable sorting network approach for computation sharing. For example, the disclosed systems generate a modified digital image by determining pixel values for a number of output tiles in applying a median filter. To generate output tiles, in some implementations, the disclosed systems utilize different forms of separability to precompute sorted columns of pixels to reduce the size of per-pixel tasks required to generate output pixels and to share computations among nearby pixels of an input tile captured from a digital image in generating output tiles. In some implementations, the disclosed systems utilize an interpreter to generate and apply a median filter to a digital image at runtime based on a user-selected filter size.

Abstract: Provided is an artificial neural network circuit including unit weight memory cells including weight memory devices configured to store weight data and weight pass transistors, unit threshold memory cells including a threshold memory device programmed to store a threshold and a threshold pass transistor, a weight-threshold column in which the plurality of unit weight memory cells and the plurality of unit threshold memory cells are connected, and a sense amplifier configured to receive an output signal of the weight-threshold column as an input and receive a reference voltage as another input.

Abstract: A variable resistance memory device includes plural first, second, and third conductors, plural memory cells, and a write circuit. Each memory cell is between one first conductor and one third conductor, and includes a first sub memory cell and a second sub memory cell. The first sub memory cell is between the one first conductor and one second conductor, and includes a first variable resistance element and a first bidirectional switching element. The second sub memory cell is between the one second conductor and the one third conductor, and includes a second variable resistance element and a second bidirectional switching element. The write circuit applies a first potential to the first and third conductors of a selected memory cell, a second potential to the second conductor of the selected memory cell, and a third potential to the first and third conductors of non-selected memory cells.

Abstract: An embodiment memory device comprises a plurality of memory cells, each exhibiting a transconductance depending on a value of a stored bit, a plurality of bit lines associated with respective groups of memory cells, each bit line configured to flow a respective electric current indicative of the bit stored in a selected memory cell of the respective group of memory cells, and a computing circuit providing an output electric quantity indicative of a linear combination of a plurality of input electric quantities. The computing circuit comprises a biasing stage configured to bias each bit line with a respective input electric quantity, the electric current flowing through each bit line based on a product of the respective input electric quantity and the transconductance of the selected memory cell, and a combining stage for combining the electric currents flowing through the plurality of bit lines thereby obtaining the output electric quantity.

Abstract: An information processing system is equipped with at least one vehicle and a server that can communicate with the at least one vehicle. The vehicle acquires an image obtained by imaging a landscape outside the vehicle, a humidity outside the vehicle, and an imaging position of the image. The vehicle or the server generates floating substance information on an atmospheric floating substance around the vehicle, based on the image and the humidity. The server stores at least one pair of the floating substance information and the imaging position corresponding thereto, and provides information to a client through the use of the at least one pair of the stored floating substance information and the stored imaging position corresponding thereto.

Abstract: Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to identify a region of interest of the target specimen and determine an expression level of, category of, and/or presence of a biomarker in the region of interest, the biomarker comprising at least one from among an epithelial growth factor receptor (EGFR) biomarker and/or a DNA mismatch repair (MMR) deficiency biomarker, the machine learning system having been generated by processing a plurality of training images to predict whether a region of interest is present in the target electronic image, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the determined expression level of, category of, and/or presence of the biomarker in the region of interest.

Abstract: A system may include a magnetic shape memory (MSM) element having a longitudinal axis that extends from a first end of the MSM element to a second end of the MSM element. The system may further include a rotatable permanent magnet configured to rotate around an axis of rotation and positioned proximate to the MSM element. The system may also include a first solenoid having a first solenoid axis directed at the rotatable permanent magnet. The system may include a second solenoid having a second solenoid axis directed at the rotatable permanent magnet. A method may include applying a first alternating current (AC) signal to the first solenoid and a second AC signal to the second solenoid to cause the rotatable permanent magnet to rotate.