Abstract: Implementations are described herein for improving unsupervised domain adaptation (UDA) by using improved adaptive teacher for object detection with cross-domain mix-up. In various implementations, cross-domain training of an object detection machine learning model may include: performing weak augmentation on images from a target domain DT to generate a first set of weakly augmented target domain images; perform strong augmentation on images from the source domain DS and images from the target domain DT to generate a second set of strongly augmented images; processing the second set of strongly augmented images to generate a third set of inter-domain mixes of the images from DS and DT; and jointly train the object detection machine learning model, as a student machine learning model, with a teacher machine learning model using the first and third sets.

Abstract: Systems and methods for using stratigraphic heat maps to steer a well being drilled. Data from one or more offset wells can be provided to a computer system and used with data from a well being drilled to generate one or more stratigraphic heat maps during the drilling of the subject well. The stratigraphic heat maps can be displayed and used to determine the location of the wellbore relative to one or more geological formations, including one or more target formations or within a target formation. Based on the use of the heat maps and the location of the wellbore relative to a target, the drill plan can be adjusted or updated and/or one or more drilling parameters or operations may be adjusted to drill the wellbore, such as to drill the wellbore to the target or to maximize the length of the wellbore within a target zone.

Abstract: Embodiments relate to compiling neural network operations into tasks that may be performed in a streaming manner by a neural processor. In a streaming operation, a tensor is spatially partitioned, and tasks associated two or more layers of the neural network are performed simultaneously in an overlapping manner. To enable efficient memory usage during streaming operation, a subset of the tasks having completion times close in time are assigned to a same portion of memory in the neural processor during a compilation process. After the tasks assigned to the same portion of the memory is finished, the portion of the memory may be flushed to make space for subsequent tasks. Multiple tasks may also be coalesced into a single task to reduce the number of tasks and more efficiently perform the operations at the neural processor.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: Techniques are disclosed for detecting an uncovered portion of a body of a person in a frame of video content. In an example, a first machine learning model of a computing system may output a first score for the frame based on a map that identifies a region of the frame associated with an uncovered body part type. Depending on a value of the first score, a second machine learning model that includes a neural network architecture may further analyze the frame to output a second score. The first score and second score may be merged to produce a third score for the frame. A plurality of scores may be determined, respectively, for frames of the video content, and a maximum score may be selected. The video content may be selected for presentation on a display for further evaluation based on the maximum score.

Abstract: Embodiments of systems, apparatuses and methods provide enhanced function as a service (FaaS) to users, e.g., computer developers and cloud service providers (CSPs). A computing system configured to provide such enhanced FaaS service include one or more controls architectural subsystems, software and orchestration subsystems, network and storage subsystems, and security subsystems. The computing system executes functions in response to events triggered by the users in an execution environment provided by the architectural subsystems, which represent an abstraction of execution management and shield the users from the burden of managing the execution. The software and orchestration subsystems allocate computing resources for the function execution by intelligently spinning up and down containers for function code with decreased instantiation latency and increased execution scalability while maintaining secured execution.

Abstract: Systems and methods for using stratigraphic heat maps to steer a well being drilled. Data from one or more offset wells can be provided to a computer system and used with data from a well being drilled to generate one or more stratigraphic heat maps during the drilling of the subject well. The stratigraphic heat maps can be displayed and used to determine the location of the wellbore relative to one or more geological formations, including one or more target formations or within a target formation. Based on the use of the heat maps and the location of the wellbore relative to a target, the drill plan can be adjusted or updated and/or one or more drilling parameters or operations may be adjusted to drill the wellbore, such as to drill the wellbore to the target or to maximize the length of the wellbore within a target zone.

Abstract: Disclosed are biosensor devices, systems, and methods for point-of-care applications.

Abstract: Provided herein is a dietary supplement comprising as its active ingredients soybean, mushroom and mung bean is used in a method to treat non-small cell lung carcinoma (NSCLC). The active components of the dietary supplement include phytoestrogens, ?-glucans, saponins, inositol hexaphosphate, and lectins.

Abstract: A dietary supplement comprising as its active ingredients soybean, mushroom and mung bean is used in a method to in a method to ameliorate at least one effective malignancy or viral infection or to enhance immune functions. The active components of the dietary supplement include phytoestrogens, ?-glucans, saponins, inositol hexaphosphate, and lectins.

Abstract: A dietary supplement comprising as its active ingredients soybean, mushroom and mung bean is used in a method to in a method to ameliorate at least one effective malignancy or viral infection or to enhance immune functions. The active components of the dietary supplement include phytoestrogens, &bgr;-glucans, saponins, inositol hexaphosphate, and lectins.