Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

Abstract: An apparatus that includes a processor and a memory. The processor and the memory are configured to provide a first software process configured to execute at a first privilege level; and a second software process configured to execute at a second privilege level, wherein the first privilege level is more restrictive than the second privilege level. The processor is configured to, initialize, at the first privilege level, a memory pool within the memory, allocate, at the first privilege level, a block of memory, send a request to write protect the block of memory to the second software process, and to write protect, at the second privilege level, the allocated block of memory.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for content recommendation using neural networks. In One aspect, a method includes: receiving context information for an action recommendation from multiple possible actions; processing the context information using a neural network that includes Bayesian neural network layers to generate, for each of the actions, one or more parameters of a distribution over possible action scores for the action, where each parameter for each Bayesian layer is associated with data representing a probability distribution over multiple possible current values for the parameter; for each parameter of each Bayesian neural network layer, selecting the current value for the parameter using data representing probability distribution over possible current values for the parameter; and selecting an action from multiple possible actions using the parameters of the distributions over the possible action scores for the action.

Abstract: A method for inspecting and post-processing a workpiece having a laser-cut, closed inner contour, in which method a gripper moves a workpiece picked up in a defined manner, between a previously stored pre-defined pick-up position AP and a pre-defined first gripper position GP1, delivering the workpiece to an inspection unit, and if post-processing is required, a pre-defined second gripper position GP2, delivering the workpiece to an ejector unit.

Abstract: An apparatus that includes a processor and a memory. The processor and the memory are configured to provide a first software process configured to execute at a first privilege level; and a second software process configured to execute at a second privilege level, wherein the first privilege level is more restrictive than the second privilege level. The processor is configured to, initialize, at the first privilege level, a memory pool within the memory, allocate, at the first privilege level, a block of memory, send a request to write protect the block of memory to the second software process, and to write protect, at the second privilege level, the allocated block of memory.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

Abstract: A method and an apparatus for detecting and correcting a spatial position of a workpiece held in a positioning device, wherein a machining head having at least one sensor and position sensor is fed into at least one measuring position. Contactless sensing of an actual position of a measuring point of the workpiece is carried out at the measuring position using the machining head and the sensed actual position is compared with an expected nominal position and deviation values between the actual position and the nominal position are ascertained. The ascertained deviation values are compared with an admissible tolerance value and the machining head is fed to a contour when the ascertained deviation is within the admissible tolerance value, or the machining head and the workpiece are oriented with respect to one another and to the contour such that a deviation of the actual position is within the admissible tolerance values following orientation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for content recommendation using neural networks. One of the methods includes receiving context information for an action recommendation; processing the context information using a neural network that comprises one or more Bayesian neural network layers to generate, for each of the actions, one or more parameters of a distribution over possible action scores for the action and selecting an action from plurality of possible actions using the parameters of the distributions over the possible action scores for the action.

Abstract: A turbomachine or a turbojet engine or a turboprop engine of an aircraft, including at least one oil circuit and a cooling mechanism including a refrigerant circuit including a first heat exchanger configured to exchange heat between the refrigerant and air and forming a condenser, a second heat exchanger configured to exchange heat between the refrigerant and the oil of the oil circuit and forming an evaporator, an expander mounted downstream from the first exchanger and upstream from the second exchanger, in a direction in which the refrigerant circulates, and a compressor mounted downstream from the second exchanger and upstream from the first exchanger.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

Abstract: Disclosed herein are various systems and methods for transmitting information using modulated magnetic fields. A system comprises a transmitter having a first magnetic field source for transmitting a first modulated magnetic field to a receiver for decoding and a field controller coupled to the first magnetic field source for controlling the first modulated magnetic field. The system can further include a receiver having a first magnetometer configured to detect the first modulated magnetic field produced by the first magnetic field source and a decoder coupled to the first magnetometer for interpreting the first modulated magnetic field.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

Abstract: An apparatus for providing rotation and connectivity between two members comprises an outer sleeve extending between first and second ends having an inner surface and having a central axis extending lengthwise therethrough, a first end cylindrical bearing, locatable within the outer sleeve along the central axis, the first end cylindrical bearing having an inner surface and a second end cylindrical bearing, locatable within the outer sleeve along the central axis, the second end cylindrical bearing having an inner surface. The apparatus further includes an inner sleeve, locatable within the first end cylindrical bearing along the central axis, the inner sleeve having outer and inner surfaces and a rotatable connector, locatable within the inner sleeve, for rotatably connecting an input and an output through the apparatus.

Abstract: Oil and fuel circuits in a turbine engine, the circuits including a main oil/fuel heat exchanger passing flows of oil and fuel for cooling the oil, an oil/air heat exchanger mounted in the oil circuit and having a flow of cooling air passing therethrough, a bypass pipe connected between an oil inlet and outlet of the oil/air heat exchanger, a valve for controlling passage of the oil flow through the bypass pipe and the oil/air heat exchanger, and a secondary oil/fuel heat exchanger mounted in the bypass pipe.

Abstract: A thermally conductive composite element is particularly suited for use in a surface heating system or in a surface cooling system. The composite element has at least one main part which contains expanded graphite and at least one flat textile structure disposed on one face of the main part. The textile structure is connected to the face of the main part by an inorganic adhesive.

Abstract: The invention relates to a fuel system (1) for a turbine engine, adapted for injecting fuel in a combustion chamber (5) of the turbine engine, comprising: a pilot circuit (10), adapted for injecting fuel in the combustion chamber (5) by means of a pilot pipe (14), a main circuit (20), adapted for injecting fuel in the combustion chamber (5) by means of a main pipe (24), the fuel system (1) being characterized in that it also comprises a thermal conductor (30) confined between the pilot pipe (14) and the main pipe (24) and configured to direct the thermal flow from the main pipe (24) to the pilot pipe (14).

Abstract: Disclosed herein are various systems and methods for transmitting information using modulated magnetic fields. A system comprises a transmitter having a first magnetic field source for transmitting a first modulated magnetic field to a receiver for decoding and a field controller coupled to the first magnetic field source for controlling the first modulated magnetic field. The system can further include a receiver having a first magnetometer configured to detect the first modulated magnetic field produced by the first magnetic field source and a decoder coupled to the first magnetometer for interpreting the first modulated magnetic field.

Abstract: A device and a method for machining workpieces (5, 6) by means of a laser beam. Said device has a delivery means (3) for delivering the workpieces (5,6) to a first machining position (8.1) and a machining means (2) which has at least one machining head (2.1) for machining of a workpiece (5,6) delivered to the first machining position (8.1). The delivery means (3) is a gripping robot with a gripping device (3.2). At least one clamping means (9,10) is disposed in order to accommodate a workpiece (5,6) delivered by the delivery means (3), wherein respective machining position is defined by each clamping means (9,10). The machining head (2.1) can be delivered to each machining position for machining of the workpieces (5,6).