Abstract: Composite laminates fabricated from one or more respective laminae of composite material (e.g., fiber-reinforced polymers) may be pre-formed and fully cured, yet configured to be selectively conformable to a desired radius of curvature. To repair a damaged composite structure, a plurality of such composite laminates may be bonded together to form a repair part that may be bolted to or otherwise secured to the damaged composite structure, thereby repairing the structure using repair parts that may match the parent material of the damaged composite structure. Methods of forming said repair parts from a plurality of such composite laminates may provide advantages in costs and lead time, over conventional techniques. Kits may include a plurality of such pre-formed and cured composite laminates that may be stacked and combined together in a plurality of different arrangements to create a customizable repair part for a given damaged composite structure.

Abstract: An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair.

Abstract: Assays for compounds having a desired biological activity against one but not both of a pair of microorganism species utilize separately detectable labels. The first and second microorganisms are different from each other, the first microorganisms exhibit a first detectable label, the second microorganisms exhibit a second detectable label different from the first detectable label, and neither of the labels interferes with detection of the other label. In various embodiments, the first and second microorganisms are incubated with a candidate compound or a producer thereof. The different labels permit isolation of microorganisms exhibiting one of the labels but not the other, indicating the desired activity, and the compound responsible for this differential response is isolated.

Abstract: Aspects of the present application comprise an edge-based polymorphic network and associated agentless security solutions. Present systems and methods may effectively shapeshift the network through network topology management, node templates, link templates, and network packet manipulation. Using agentless techniques, the network may be reshaped when attacks are detected in a manner that impacts only the attacker, and an agentless color theory security solution may be used to dynamically protect network traffic.

Abstract: This invention provides, among other things, compounds useful for treating spirochete diseases such as Lyme disease, as well as pharmaceutical formulations and/or environmental baits containing such compounds.

Abstract: An inserter assembly (200) for deploying an intravesical device into a urinary bladder of a patient includes a placement catheter (210), a receiving funnel (220), and a stylet (230). The placement catheter defines a lumen extending from a proximal catheter end to an exit opening. The receiving funnel is secured to the placement catheter. The stylet is removably received through the receiving funnel within the lumen. The stylet includes a stylet body and a paddle (238). The stylet body is dimensioned to drive the intravesical device through the lumen and the exit opening into the bladder. The paddle is fixed to the stylet body about the proximal stylet end and is engageable with the receiving funnel. The paddle optionally includes a fitting (242) being lockably engageable with the receiving funnel to removably secure the stylet to the placement catheter.

Abstract: Aspects of the present application comprise an edge-based polymorphic network and associated agentless security solutions. Present systems and methods may effectively shapeshift the network through network topology management, node templates, link templates, and network packet manipulation. Using agentless techniques, the network may be reshaped when attacks are detected in a manner that impacts only the attacker, and an agentless color theory security solution may be used to dynamically protect network traffic.

Abstract: A fiber optic cable assembly includes a fiber optic cable and a plurality of distribution housings along its length. The distribution housings include a tubular portion with a first passageway that receives optical fibers of the fiber optic cable and a branch portion with a second passageway. The second passageway intersects the first passageway and receives a subset of optical fibers that define tap cables branching away from the main fiber optic cable. The distribution housing includes one or more bend limiters adjacent the intersection between the passageways to limit bending of the tap cables. The distribution housings may include movement restrictors to limit movement of the distribution housings relative to the fiber optic cable. An equipment rack having such a fiber optic cable assembly is disclosed. A method of using the fiber optic cable assembly in an equipment rack to provide a plug-and-play capability is also disclosed.

Abstract: Embodiments relate to performing inference, such as object recognition, based on sensory inputs received from sensors and location information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The location information describes known or potential locations of the sensors generating the sensory inputs. An inference system learns representations of objects by characterizing a plurality of feature-location representations of the objects, and then performs inference by identifying or updating candidate objects consistent with feature-location representations observed from the sensory input data and location information. In one instance, the inference system learns representations of objects for each sensor. The set of candidate objects for each sensor is updated to those consistent with candidate objects for other sensors, as well as the observed feature-location representations for the sensor.

Abstract: An installation grip for a fiber optic cable having an outer jacket, optical fibers, at least one strength member, and a ferrule terminating the optical fibers is disclosed. The installation grip includes a tubular body having an internal cavity configured to receive the ferrule, a pulling plug for connection to a tension member, and at least one slot through the installation grip. The at least one slot is configured to receive the at least one strength member of the fiber optic cable such that a tensile load imposed on the installation grip is transferred to the at last one strength member along a load path that bypasses the ferrule. A method of preparing a fiber optic cable for installation in ductwork at an installation site and a method of installing a fiber optic cable using the installation grip are also disclosed.

Abstract: Examples for global motion suppression in an event-driven camera are described herein. In some examples, global motion of an event-driven camera is detected based on a plurality of pixels of an event-driven image sensor detecting events. The global motion may be suppressed by event-driven image sensor circuitry in response to detecting the global motion.

Abstract: In one example in accordance with the present disclosure, a system is described. The system includes at least one directional antenna to 1) emit energy waves towards a mass in which an object is disposed and 2) receive reflected signals from a resonator disposed on the object as the mass is moved relative to the directional antenna. The system also includes a controller to, based on received reflected signals, determine a pose of the object within the mass.

Abstract: An apparatus may identify each object of a set of objects included in a first location, wherein the set of objects includes at least one IoT device and at least one other object. The apparatus may determine a first set of attributes for the at least one IoT device. The apparatus may store registration information associated with the at least one IoT device, the registration information including a first identifier associated with the at least one IoT device and including the first set of attributes for the at least one IoT device. The apparatus may obtain an input. The apparatus may determine whether the input corresponds to the at least one IoT device based on the registration information associated with the at least one IoT device. The apparatus may control the at least one IoT device when the input corresponds to the at least one IoT device.

Abstract: The invention provides compositions and methods for the breeding, production, processing and use of specialty cannabis.

Abstract: Described herein are apparatus and methods for performing inference into the identity of an object. For an object of a plurality of objects, the apparatus receives feature-location information identifying a feature at first location on a first object of the plurality and a feature at a second location on a second object of the plurality. The apparatus activates a first set of location cells that collectively represent the first location on the first object corresponding to a feature on an object of the plurality of objects and a second set of location cells that collectively represent the second location on the second object corresponding to a feature on an object of the plurality of objects. The apparatus activates a set of displacement cells representing displacement of the first set of location cells and the second set of location cells and identifies one or more objects by processing the displacement cells.

Abstract: An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair.

Abstract: An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair.

Abstract: According to aspects of the present disclosure there are provided methods and apparatus for providing a user-centric application comprising a plurality of service modules, the method comprising identifying available resources associated with each of a plurality of edge devices in the local network, identifying a first device of the local network, the first device offering a user input service, identifying a second device of the local network, the second device to receive an output event and present the output event for consumption by the user, for each service module, each service module to provide a portion of a functionality of the user-centric application and having an associated resource request, deploying the service module to an edge device based on the associated resource request and the identified available resources, and configuring data flows between the deployed service modules, the first device, and the second device to realize the user-centric application.

Abstract: Examples of methods for controlling machine learning model structures are described herein. In some examples, a method includes controlling a machine learning model structure. In some examples, the machine learning model structure may be controlled based on an environmental condition. In some examples, the machine learning model structure may be controlled to control apparatus power consumption associated with a processing load of the machine learning model structure.

Abstract: Aspects of the present application comprise an edge-based polymorphic network and associated agentless security solutions. Present systems and methods may effectively shapeshift the network through network topology management, node templates, link templates, and network packet manipulation. Using agentless techniques, the network may be reshaped when attacks are detected in a manner that impacts only the attacker, and an agentless color theory security solution may be used to dynamically protect network traffic.