Abstract: In an embodiment, the systems and methods discussed herein are related to generating, via a processor, a Markov Distribution Problem (MDP), the MDP including a state space, an action space, a transition function, a reward function, and a discount factor. A reinforcement learning (RL) model is applied, via the processor, to the MDP to generate a RL agent. An input data associated with a first user is received at the RL agent. At least one counterfactual explanation (CFE) is generated via the processor and by the RL agent and based on the input data. A representation of the at least one CFE and at least one recommended remedial action is caused to transmit, via the processor, to at least one of a compute device of the first user or a compute device of a second user different from and associated with the first user.

Abstract: A method includes acquiring an image of a cutter on a drill bit, determining a cutter dull condition based on the image of the cutter using a machine-learning method, wherein the machine-learning method is trained using a set of training images and a set of known cutter dull conditions, wherein each of the set of known cutter dull conditions is associated with one or more of a set of cutters depicted in the set of training images and determining a cutter degradation severity based the image of the cutter. The method also includes generating bit modification instructions based the cutter dull condition and the cutter degradation severity.

Abstract: Disclosed are systems and methods to perform neural architecture search (“NAS”) that automatically optimizes for the number of channels to allocate to each layer of a deep neural network. Some implementations include a pairwise slimming that includes a global optimization step. Likewise, in some implementations, a bias toward a region of interest may be applied to channel path selection during training.

Abstract: In various embodiments, the present disclosure relates to systems and methods for enhanced reinforcement learning (RL) algorithms using future state prediction. In some embodiments, an offline emulator can be applied allowing the generation of samples, thus supporting continuous training of the system and fast-forward fabric saturation. The fabric accepts transactions which allocate resources with respect to the transactions needs and constraints and contains an RL/AI model(s) which are continuously learning based on the current reward combined with reward scaling. By modelling the fabric and transactions in an emulator, it is possible to predict future states and calculate adjusted rewards with respect to the optimal criterion. A state generator is based on modeling past historical transactions, allowing a user to anticipate future state characteristics of the fabric. In some embodiments, online learning is based on adjusted rewards which are more representative with respect to the objective function.

Abstract: The present disclosure relates to a system and method for automatically determining a three dimensional size of an item. The system may include an optical sensor scanning a surface of the item being transported on a conveyor spaced apart from the optical sensor by a conveyor distance, the surface including a standard size element having a first dimension. The system may also include a memory storing the first dimension and the conveyor distance. The system may also include a processor configured to calculate a second dimension of the surface based on a scanned image of the surface and a scanned image of the standard size element and the stored first dimension. The processor may obtain an item distance between the optical sensor and the surface and determine a height of the item based on the obtained item distance and the stored conveyor distance.

Abstract: Systems and methods for cloud-based device management. In one implementation, a processing device receives one or more images captured in relation to a device, processes the one or more images to determine a presence of one or more identifiers within the one or more images, based on a determination that an identifier is present within the one or more images, processes the identifier in relation to an information repository to determine a permission status with respect to the identifier; identifies an instruction protocol associated with the device, generates an instruction corresponding to the permission status and the instruction protocol, and provides the instruction to the device.

Abstract: According to some aspects, methods and systems may include receiving, by a computing device, metadata identifying an event occurring in a video program, and determining an expected motion of objects in the identified event. The methods and systems may further include analyzing motion energy in the video program to identify video frames in which the event occurs, and storing information identifying the video frames in which the event occurs.

Abstract: An image compression method includes: obtaining a grayscale pixel information of an original image, wherein the grayscale pixel information comprises a plurality of sub-grayscale pixel information; scanning the plurality of sub-grayscale pixel information according to a preset first scanning sequence to obtain a first target grayscale pixel information; dividing the first target grayscale pixel information into a plurality of first grayscale areas according to a preset first grayscale difference threshold to generate a first area information; and compressing the sub-grayscale pixel information of each first grayscale area according to the first minimum grayscale pixel value, the first area label, and the plurality of sub-grayscale pixel information, to obtain a first compressed data of the original image. An image compression device, a computer device, and a computer readable storage medium are also provided.

Abstract: A method of age and gender estimation, comprising receiving an input image, detecting a facial image within the input image, estimating a head pose based on a set of facial image intensities of the facial image, wherein the head pose is expressed as a yaw, a pitch and a roll, determining whether the yaw, the pitch and the roll of the head pose is less than a predetermined threshold, aligning the facial image if the yaw, the pitch and the roll of the head pose are less than the predetermined threshold and predicting an age and a gender of the aligned facial image.

Abstract: The embodiments of the present disclosure disclose method for calculating image highlight reflection separation. A specific implementation of the method includes: controlling a polarized color sensor to shoot a polarized color image, and calculating a polarized chromaticity image; clustering the pixels of diffuse reflection components whose chromaticity difference is within a preset range, to obtain a pixel sequence set; using a robust principal component analysis algorithm for each pixel, to obtain an initial separation result; further processing the polarized color image for highlight reflection separation, to obtain a highlight reflection separation result, and generating a diffuse reflection image. This implementation can achieve highlight reflection separation for images without being affected by the lighting information, and obtain a highlight reflection separation result with higher accuracy through the color and polarization information.

Abstract: The technology disclosed extracts intensities from sequencing images for base calling target clusters and attenuates spatial crosstalk from neighboring clusters. The technology disclosed accesses a particular section from a plurality of sections of an image output by a sensor, the particular section of the image including at least one pixel depicting intensity emission values from a target cluster and neighboring clusters located across the sensor, and convolves the particular section of the image with a corresponding convolution kernel in a plurality of convolution kernels, to generate a feature map comprising a plurality of feature values. The technology disclosed further assigns a corresponding feature value to the target cluster based on feature values in the plurality of feature values adjoining a center of the target cluster, and processes the corresponding feature value assigned to the target cluster, to base call the target cluster.

Abstract: At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of receiving from a user a 360-degree image of a property, performing on the image an image recognition routine, the image recognition routine identifying one or more defects in the property, determining from the image measurements of one or more objects associated with the one or more defects in the property, and estimating a type and quantity of material necessary to remedy the identified one or more defects.

Abstract: Systems, methods and devices for performing analysis of surfaces, external and internal, including public works. The invention employs analytical software that provides results independent of the limitations of the operator.

Abstract: Video analytics are used to evaluate interactions between humans and animals and identify possible occurrences of animal abuse in an objective manner. The video analytics system processes successive video frames to identify objects of interest (e.g., humans, animals, tools/weapons, etc.), creates mathematical models of such objects (e.g., essentially stick-figure models), analyzes movements of such objects (e.g., the speed and/or directional motion of an object or portion of an object such as an arm or leg), determines mathematically and objectively whether or not the analyzed movements meet predetermined criteria for possible abuse (e.g., wherein the predetermined criteria can be mathematical models defining ethical and unethical movements), and outputs relevant information via a user interface (e.g., a list of possible abuse instances identifying the time and probability of possible abuse, from which the user can select an instance in order to view the corresponding video for human analysis).

Abstract: A method, computer program, and computer system is provided for point cloud coding. The method includes receiving, from a bitstream, data corresponding to a point cloud; reconstructing, based on the data, a first attribute value of a first duplicate point from among a plurality of duplicate points corresponding to a single geometry position; obtaining at least one prediction residual corresponding to at least one remaining attribute value of at least one remaining duplicate point from among the plurality of duplicate points; reconstructing the at least one remaining attribute value based on the reconstructed first attribute and the at least one prediction residual; and decoding the data corresponding to the point cloud based on the reconstructed first attribute value and the reconstructed at least one remaining attribute value.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a depth image, comprising obtaining data representing a first image generated by a first sensor and a second image generated by a second sensor, wherein each of the first and second images includes a plurality of pixels; determining, for each pixel of the plurality of pixels included in the first image, whether the pixel is a boundary pixel associated with a boundary of an object that is represented in the first image; determining, from a plurality of candidate penalty values and for each pixel in the first image, an optimized penalty value for the pixel; generating an optimized cost function for the first image based on the optimized penalty values for the plurality of pixels; and generating a depth image for the first image based on the optimized cost function.

Abstract: A computer-implemented method is for providing radiomics-related information. In an embodiment, the computer-implemented method includes receiving radiomics-related data; determining, based on the radiomics-related data and an assistance algorithm, a function for processing the radiomics-related data; calculating, based on the radiomics-related data and the function for processing the radiomics-related data, the radiomics-related information; and providing the radiomics-related information.

Abstract: Image processing and analysis technique includes using a computer apparatus to assess a patient's computed tomography (CT) or magnetic resonance images for pathology and then automatically generate a prescription based at least in part on that assessment.

Abstract: There is provided with an image identification apparatus. An extraction unit extracts a feature value of an image from image data using a Neural Network (NN). A processing unit identifies the image based on the feature value extracted by the extraction unit. The NN comprises a plurality of calculation layers connected hierarchically. The NN includes a plurality of sub-neural networks for performing processing of calculation layers after a specific calculation layer. Mutually different data from an output of the specific calculation layer are respectively inputted to the plurality of sub-neural networks.

Abstract: A document capture server receives a document image from a document capture client and processes the image into an electronic document containing textual content. During capture, the document capture server determines a graphical layout of the document, extracts keywords from the document, classifies the document accordingly, and calls an artificial intelligence (AI) platform to gain insights on the textual content. The AI platform analyzes the textual content and returns additional, insightful data such as a sentiment of the textual content. The document capture server can validate the additional data, integrate the additional data in a process or workflow, and/or provide the textual content and the additional data to a content repository or a computing facility operating in an enterprise computing environment. The document capture server can provide validated data to the AI platform to improve future analyses by the AI platform.