Abstract: A device and method for employing a machine learning model using processor circuitry to intelligently predict user permissions within a network environment and output a restriction recommendation for modifying user permissions.

Abstract: A system and method in at least one embodiment generates, transmits and distributes a diamagnetic field using a flux field generator and a distribution system. In at least one embodiment, the flux field generator is mounted on a platform or a vehicle. In a further embodiment, the flux field generator is not vehicle based.

Abstract: This invention provides a system and method inspecting transparent or translucent features on a substrate of an object. A vision system camera, having an image sensor that provides image data to a vision system processor, receives light from a field of view that includes the object through a light-polarizing filter assembly. An illumination source projects polarized light onto the substrate within the field of view. A vision system process locates and registers the substrate, and locates thereon, based upon registration, the transparent or translucent features. A vision system process then performs inspection on the features using predetermined thresholds. The substrate can be a shipping box on a conveyor, having flaps sealed at a seam by transparent tape. Alternatively, a plurality of illuminators or cameras can project and receive polarized light oriented in a plurality of polarization angles, which generates a plurality of images that are combined into a result image.

Abstract: Methods, apparatus and systems for providing secondary frequency regulation support to a power transmission system. In some embodiments, a real-time central controller requests current status data from a power distribution network which includes a plurality of distributed energy resources (DERs) and at least one substation battery energy storage system (BESS). The real-time central controller also receives an Automatic Generation Control (AGC) signal from a system operator, calculates a mismatch value, determines that the absolute value of the mismatch value is greater than a predetermined tolerance, and sets an optimal setpoint value for each of the plurality of DERs and an optimal setpoint value for the BESS. In some implementations, the real-time central controller next transmits a secondary frequency response that includes the optimal setpoint values to each of the plurality of DERs and the optimal setpoint value to the at least one BESS, thus providing secondary frequency regulation support.

Abstract: Systems and methods herein generally relate to prolonging viability of bodily tissue, especially an organ, by adjusting pressure as needed to maintain a constant pressure within the organ even during external pressure fluctuations due, for example, to transportation of the organ in an airplane. The systems and methods herein can include an electronic pump that pumps gas into an organ and a mechanical pressure regulator to release gas based on organ pressure.

Abstract: An aerosol-generating system may include a liquid storage portion configured to hold liquid aerosol-forming substrate, a vaporizer including a heating element with an internal passage at least partially defined by a surface of the heating element, and a micro pump configured to deliver liquid aerosol-forming substrate from the liquid storage portion to the internal passage of the heating element, such that the vaporizer is configured to heat the delivered liquid aerosol-forming substrate at the internal passage to a temperature sufficient to volatilize at least a part of the delivered liquid aerosol-forming substrate. The micro pump may be configured to deliver a particular amount of liquid aerosol-forming substrate to the internal passage based on the micro pump performing an individual pump cycle.

Abstract: The present invention relates to the use of limited amounts of cysteine and tryptophan in the cell culture medium during production of recombinant proteins, and in particular antibodies. Proteins and antibodies produced under such controlled conditions exhibit reduced heterogeneity, in particular reduced charge variants heterogeneity.

Abstract: A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. Each computing device is operable to access one or more memory blocks within the storage devices and maintain a registry over the same one or more memory blocks. The registry may be adaptively resized according to the access of the one or more memory blocks.

Abstract: The present invention provides a method for modulating (e.g. decreasing) the alkaloid content of a plant (e.g. a tobacco plant), the method comprising modifying said plant by modulating the activity or expression of at least one gene encoding a SOUL haem-binding protein. The present invention also provides for the use of at least one gene encoding a SOUL haem-binding protein for modulating the alkaloid content of a plant, as well as tobacco cells, plants, plant propagation materials, harvested leaves, processed tobaccos, or tobacco products obtainable in accordance with the invention.

Abstract: A system can train a neural network model at a first edge device regarding respective amounts of time to process data at the first edge device compared to corresponding amounts of time to process the data at cloud computing equipment that is connected to the first edge device via a communications network, wherein the data is generated at the first edge device. The system can update the neural network model to produce an updated neural network model based on information received from a second edge device regarding a performance of the cloud computing equipment in processing the data, wherein the first edge device and the second edge device having respective different processing capabilities. The system can determine whether to process first data, generated at the first edge device, locally at the first edge device.

Abstract: The subject technology performs a transaction locally at a computing node. The subject technology determines that the transaction has been completed. The subject technology determines a set of immutable attributes from the completed transaction. The subject technology generates an aggregate identifier based on the set of immutable attributes. The subject technology publishes the generated aggregate ID. The subject technology stores the published aggregate ID to an external storage location.

Abstract: Provided is a medical device formed entirely from or formed partially from a polymer, e.g., a polysaccharide such as chitosan. In some embodiments, the medical device may be formed as a tubular member formed from a sheet of a chitosan material. This chitosan tube may be used to wrap around tissue, such as a nerve or tendon to help with the regeneration or healing process of the nerve or tendon, as applicable.

Abstract: In embodiments, a processing device detects a margin line in a model of a preparation from one or more images. The processing device determines, for each segment of a plurality of segments of the margin line, a quality score for the segment. The processing device determines that a segment of the margin line has a quality score that is below a quality threshold, wherein the segment of the margin line was generated based on a first set of images. Responsive to determining that the segment of the margin line has the quality score that is below the quality threshold, the processing devices updates the three-dimensional model of the preparation by replacing a portion of the three-dimensional model associated with the segment of the margin line with image data from at least one of a new image or a second set of images.

Abstract: A computer system trains a neural network to predict, for each pixel in an input image, the position that a robot's end effector would reach if a grasp (“poke”) were attempted at that position. Training data consists of images and end effector positions recorded while a robot attempts grasps in a pick-and-place environment. For an automated grasping policy, the approach is self-supervised, as end effector position labels may be recovered through forward kinematics, without human annotation. Although gathering such physical interaction data is expensive, it is necessary for training and routine operation of state of the art manipulation systems. Therefore, the system comes “for free” while collecting data for other tasks (e.g., grasping, pushing, placing). The system achieves significantly lower root mean squared error than traditional structured light sensors and other self-supervised deep learning methods on difficult, industry-scale jumbled bin datasets.

Abstract: Systems, methods, and computer-readable media are disclosed for determining obstacle data based on sensor data such as greyscale data and depth data. Based on the obstacle data navigation data may be determined and used by an autonomous vehicle to navigate an environment such as a warehouse or storage facility. The obstacle data may be determined by determining three-dimensional representations of the greyscale data and the depth data and segmented and combining or fusing the three-dimensional representations of the greyscale data and the depth data. The system used to determine the obstacle data may be trained to avoid false obstructions and omitted obstructions.