Abstract: Computer vision systems and methods for image to image translation are provided. The system samples a first image and a second image of a dataset. The system utilizes a variational auto-encoder to execute a cycle consistent forward cycle and a cycle consistent reverse cycle on each of the first image and the second image to generate a disentanglement representation of the first image and a disentanglement representation of the second image, and generate a first reconstructed image and a second reconstructed image based on the first image disentanglement representation and the second image disentanglement representation.

Abstract: Computer vision systems and methods for compositional pixel prediction are provided. The system receives an input image frame having a plurality of entities where each entity has a location at a first time step. The system processes the input image frame to extract a representation of each entity. The system utilizes an entity predictor to determine a predicted representation of each extracted entity representation at a next time step based on each extracted entity representation and a latent variable and utilizes a frame decoder to generate a predicted frame based on the input image frame and the predicted entity representations. The system trains an encoder to predict a distribution over the latent variable based on the input image frame and a final frame of a ground truth video associated with the input image frame.

Abstract: A system is provided including a memory in communication with a processor. The memory is to store a value of an attribute. The processor is to obtain from a source data structure the value. The processor is also to store in a further data structure the value in association with a descriptor identifying the source data structure. Moreover, the processor is to store in the further data structure an identifier in association with the value. The identifier is incrementable and unique to the value among values associated with the descriptor. In addition, the processor is to output the further data structure.

Abstract: A method and a system for maximizing share-ride bookings in a geographical area in a ride-sharing system are provided. Historical share-ride demands for the geographical area are estimated. A time period is segmented into time intervals such that each time interval has an equal count of the estimated historical share-ride demands. A conversion rate and a gross merchandise value (GMV) per unit of distance are determined for a first time interval at a check point of a second time interval. Error signals are generated at the check point based on deviations in the conversion rate and the GMV per unit of distance with respect to a defined conversion rate and a defined GMV per unit of distance, respectively. A share-ride fare in the second time interval is controlled based on the error signals to maximize the share-ride bookings during the second time interval.

Abstract: Disclosed are systems and methods for improving food quality. The systems and methods include receiving first temperature data from a first food service device, determining when the first temperature data exceeds a predetermined temperature value, and activating a first alarm when the first temperature data exceeds the predetermined temperature value. The first temperature data corresponds to a food temperature of food. The systems and methods may also include discarding the food in response to the first alarm being activated.

Abstract: The present disclosure is directed to systems and methods for providing dynamic communication threads in response to a detected interaction with a sponsored digital content item. For example, systems and method described herein detect a user interaction with a sponsored digital content item and generate a screened communication thread between the user and the sponsor that is not available to the sponsor. The screened communication thread serves as a reminder to the user of the sponsored digital content item. Systems and methods described herein convert the screened communication thread to an open communication thread based on user interaction with the screened communication thread (e.g., after the user submits a reply in the screened communication thread). Thus, systems and methods described herein protect the user's online privacy unless and until the user indicates a desire to interact with the sponsor.

Abstract: Disclosed herein include systems, devices, and methods for generating and directly loading droplets onto a microfluidic device with contactless delivery. Droplets can be generated and loaded onto a sealed microfluidic device through one or more connecting ports. Loaded droplets can be manipulated, such as merged.

Abstract: A cloud security system and method designed to protect users' data in case of accidental leaks in a cloud computing environment. Secured hashing of the names of folders stored on the cloud data storage are generated and persisted using multiple iterations of cryptographic hash functions along with a concatenated random number for each of the folder names, thereby providing protection against vulnerability of the folder names. The proposed system is a dual-layer framework consisting of a control layer and a data layer. The control layer is responsible for cryptographic hashing and persistence of the folder name, hashed name, salt, and iterations in a database. The control layer communicates with the data layer and provides the hashed folder names to persist the user data cloud storage.

Abstract: A computing system can determine moving objects in a sequence of images based on recursively calculating red-green-blue (RGB) eccentricity 249 k based on a video data stream. A vehicle can be operated based on the determined moving objects. The video data stream can be acquired by a color video sensor included in the vehicle or a traffic infrastructure system.

Abstract: An example of an apparatus including a network interface to receive enrollment data from a device, wherein the device is identified by a device identifier. The apparatus further includes a memory storage unit connected to the network interface. The memory storage unit receives device history data associated with the device identifier while the device is enrolled. The memory storage unit is also to maintain a database to store the device history data associated with the device identifier. The apparatus also includes a processor to receive a de-enrollment command associated with the device via the network interface. The de-enrollment command causes the processor to modify the device identifier stored in the database.

Abstract: Example apparatus disclosed herein are to process a first image of a first video segment from the image capture sensor with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect actions associated with images, the actions associated with labels. Disclosed example apparatus are also to determine a second score for the first video segment based on respective first scores for corresponding images in the first video segment. Disclosed example apparatus are further to determine, based on the second score, whether to retain the first video segment in the memory.

Abstract: The invention relates to a method for preparing a cellulose dope comprising mixing and dissolving the cellulosic raw material in dilute and concentrated aqueous organic solvent in a two-stage process to form a homogeneous slurry, followed by heating the homogeneous slurry to obtain a cellulose dope containing 11% to 20% cellulose by weight. The invention also relates to a cellulose dope comprising 11% to 20% cellulose by weight and 73% to 79% aqueous organic solvent wherein the concentration of the cellulosic and metallic impurities in the cellulose dope shows a percent reduction of 20% to 50% from the cellulosic raw material.

Abstract: A system for guiding a cutting tool in an osteotomy procedure includes a cutting block. The cutting block includes an aperture extending through a thickness of the cutting block and having a length and a width. The width of the aperture is defined between a first interior surface of the cutting block and a second interior surface of the cutting block opposing the first interior surface. The system further includes a sleeve. The sleeve includes a slot configured for receiving a sawblade and configured for insertion into the aperture of the cutting block such that the sleeve contacts either the first interior surface or the second interior surface without contacting the other interior surface.

Abstract: A system is provided including a memory in communication with a processor. The memory may store status data for a module of a device. The processor may generate a module score based on the status data, and generate a device score by applying a transformation to the module score. Moreover, the processor may assign the device to a status group based on the device score. The status group may include one of a healthy group and an unhealthy group. Furthermore, the processor may output the status group associated with an identifier of the device.

Abstract: Computer vision systems and methods for text classification are provided. The system detects a plurality of text regions in an image and generates a bounding box for each detected text region. The system utilizes a neural network to recognize text present within each bounding box and classifies the recognized text, based on at least one extracted feature of each bounding box and the recognized text present within each bounding box, according to a plurality of predefined tags. The system can associate a key with a value and return a key-value pair for each predefined tag.

Abstract: Computer vision systems and methods for optimizing correlation clustering for image segmentation are provided. The system receives input data and generates a correlation clustering formulation for Benders Decomposition for optimized correlation clustering of the input data. The system optimizes the Benders Decomposition for the generated correlation clustering formulation and performs image segmentation using the optimized Benders Decomposition.

Abstract: A bone plate includes a bone-contacting surface, an upper surface opposite the bone-contacting surface, and a hole having a circumference and extending from the upper surface to the bone-contacting surface. The hole includes a first portion having a plurality of substantially parallel lips, each lip extends around the circumference of the hole and defines a diameter of the hole. The diameters of the hole, as defined by the lips, decrease in a direction from the upper surface to a center of the hole and increase in a direction from the center of the hole toward the bone-contacting surface.

Abstract: Methods of treating and preventing metabolic disease through inhibiting interleukin 11 (IL-11)-mediated signalling are disclosed, as well as agents for use in such methods.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: Illustrative embodiments represent a dynamic on-demand approach to configuring destination storage for bare metal restore (BMR) operations without operator intervention, including destination storage that is smaller than source storage devices. The illustrative operations rely on system state information collected concurrently with or shortly after source data is backed up, thereby capturing current actual storage metrics for the source data. The illustrative embodiments further rely on enhanced data agent components to collect and restore system state information as well as to restore backup data, thereby streamlining the configurations needed for the BMR operation to proceed. Additional business logic matches source mount points with suitable smaller destination storage resources and ensures that the BMR operation successfully completes with diverse and/or smaller storage destinations.