Abstract: A light field display module including a light field display layer, an adjustment layer, and an image forming layer is provided. The light field display layer is configured to form a light field image beam. The adjustment layer is disposed on a path of the light field image beam, and configured to adjust the light field image beam. The image forming layer is disposed on the path of the light field image beam from the adjustment layer, and configured to change a position of a light field image by changing a direction of the light field image beam. The image forming layer has multiple optical micro-structures.

Abstract: A bonded semiconductor structure includes a first device wafer and a second device wafer. The first device includes a first dielectric layer, a first bonding pad disposed in the first dielectric layer, and a first bonding layer on the first dielectric layer. The second device wafer includes a second dielectric layer, a second bonding layer on the second dielectric layer, and a second bonding pad disposed in the second dielectric layer and extending through the second bonding layer and at least a portion of the first bonding layer. A conductive bonding interface between the first bonding pad and the second bonding pad and a dielectric bonding interface between the first bonding layer and the second bonding layer include a step-height in a direction perpendicular to the dielectric bonding interface and the conductive bonding interface. A height of the step-height is smaller than a thickness of the first bonding layer.

Abstract: A system for dynamically adjusting neural network efficiency of a dynamic neural network running on a device includes a detector and a signal generator. The detector is arranged to detect a change of a status of the device, to generate a trigger signal. The signal generator is arranged to generate a control signal according to the trigger signal, to dynamically adjust the neural network efficiency of the dynamic neural network.

Abstract: A method for generating a dynamic neural network includes: utilizing a neural architecture search (NAS) method to obtain a searched result, wherein the searched result comprises a plurality of sub-networks; combining the plurality of sub-networks to generate a combined neural network; and fine-tuning the combined neural network to generate the dynamic neural network.

Abstract: A bonded semiconductor structure includes a first device wafer and a second device wafer. The first device includes a first dielectric layer, a first bonding pad disposed in the first dielectric layer, and a first bonding layer on the first dielectric layer. The second device wafer includes a second dielectric layer, a second bonding layer on the second dielectric layer, and a second bonding pad disposed in the second dielectric layer and extending through the second bonding layer and at least a portion of the first bonding layer. A conductive bonding interface between the first bonding pad and the second bonding pad and a dielectric bonding interface between the first bonding layer and the second bonding layer include a step-height in a direction perpendicular to the dielectric bonding interface and the conductive bonding interface.

Abstract: The current disclosure describes techniques of protecting a metal interconnect structure from being damaged by subsequent chemical mechanical polishing processes used for forming other metal structures over the metal interconnect structure. The metal interconnect structure is receded to form a recess between the metal interconnect structure and the surrounding dielectric layer. A metal cap structure is formed within the recess. An upper portion of the dielectric layer is strained to include a tensile stress which expands the dielectric layer against the metal cap structure to reduce or eliminate a gap in the interface between the metal cap structure and the dielectric layer.

Abstract: A production schedule estimation method and a production schedule estimation system are provided. The production schedule estimation method includes the following steps. Current-day work-in-process data, machine group cycle time data of a machine group, and productivity data of the machine group are obtained. The current-day work-in-process data, the cycle time data of the machine group, and the productivity data of the machine group are inputted into a prediction model. Current-day cycle time data and a current-day move volume for each of multiple stations in the machine group are calculated through the prediction model. And, current-day move data is calculated according to the current-day cycle time data and the current-day move volume for each of the multiple stations in the machine group.

Abstract: A power converter is provided. The power converter includes a housing, a heat dissipation module, and a first circuit board. The housing forms a receiving space, wherein the housing includes a first housing port and a second housing port. The heat dissipation module is detachably connected to the housing, and disposed in the receiving space. The heat dissipation module includes an inner path that communicates the first housing port with the second housing port. Working fluid enters the inner path via the first housing port. The working fluid leaves the inner path via the second housing port. The first circuit board includes a first circuit board body and a first heat source, wherein the first heat source is disposed on the first circuit board body, and the first heat source is thermally connected to the inner path of the heat dissipation module.

Abstract: A cooling apparatus is provided. An external cooling fluid flows into an external inlet opening from an external inlet pipe and passes through a heat exchanger to flow out of an external outlet opening to an external outlet pipe. An internal cooling fluid flows into an internal inlet pipe from the server and flows into an internal inlet opening from the internal inlet pipe and passes through the heat exchanger for heat exchange with the external cooling fluid to flow out of an internal outlet opening to an internal outlet pipe. A hot-swap pump has a pump main body, an inlet anti-leakage pipe, an outlet anti-leakage pipe and a hot-swap connector. The inlet anti-leakage pipe includes an inlet connector and an inlet anti-leakage valve. The outlet anti-leakage pipe includes an outlet connector and an outlet anti-leakage valve. The hot-swap connector is electrically connected to the pump main body.

Abstract: Aspects of the disclosure provide an evolutionary neural architecture search (ENAS) method. For example, the ENAS method can include steps (a) performing one or more evolutionary operations on an initial population of neural architectures to generate offspring neural architectures, (b) evaluating performance of each of the offspring neural architectures to obtain at least one evaluation value of the offspring neural architecture with respect to a performance metric, (c) adjusting the evaluation values of the offspring neural architectures based on at least one constraint on the evaluation values, (d) selecting at least one of the offspring neural architectures as a new population of neural architectures, and (e) outputting the new population of neural architectures as a last population of neural architectures when a stopping criterion is achieved, or (f) iterating steps (a) to (d) with the new population of neural architectures being taken as the initial population of neural architectures.

Abstract: Aspects of the disclosure provide an evolutionary neural architecture search (ENAS) method. For example, the ENAS method can include steps (a) performing one or more evolutionary operations on an initial population of neural architectures to generate offspring neural architectures, (b) evaluating performance of each of the offspring neural architectures to obtain at least one evaluation value of the offspring neural architecture with respect to a performance metric, (c) adjusting the evaluation values of the offspring neural architectures based on at least one constraint on the evaluation values, (d) selecting at least one of the offspring neural architectures as a new population of neural architectures, and (e) outputting the new population of neural architectures as a last population of neural architectures when a stopping criterion is achieved, or (f) iterating steps (a) to (d) with the new population of neural architectures being taken as the initial population of neural architectures.

Abstract: A vehicle includes drive wheels, an energy source having an available energy, a torque-generating device powered by the energy source to provide an input torque, a transmission configured to receive the input torque and deliver an output torque to the set of drive wheels, and a controller. The controller, as part of a programmed method, predicts consumption of the available energy along a predetermined travel route using onboard data, offboard data, and a first logic block, and also corrects the predicted energy consumption using the onboard data, offboard data, and an error correction loop between a second logic block and the first logic block. The controller also executes a control action with respect to the vehicle using the corrected energy consumption, including changing a logic state of the vehicle.

Abstract: A system configured to receive baseline map data from a remote map-data source, and determine whether the baseline map data is sufficient for present mobile navigation-unit function, yielding a map-sufficiency determination. If the map-sufficiency determination is affirmative, using the baseline map data for the present mobile navigation-unit function. If the map-sufficiency determination is negative, the system predicts navigation-unit movement, obtains based on the navigation-unit movement predicted, supplemental map data, and uses the baseline map data and the supplemental map data for the present mobile navigation-unit function.

Abstract: A vehicle includes drive wheels, an energy source having an available energy, a torque-generating device powered by the energy source to provide an input torque, a transmission configured to receive the input torque and deliver an output torque to the set of drive wheels, and a controller. The controller, as part of a programmed method, predicts consumption of the available energy along a predetermined travel route using onboard data, offboard data, and a first logic block, and also corrects the predicted energy consumption using the onboard data, offboard data, and an error correction loop between a second logic block and the first logic block. The controller also executes a control action with respect to the vehicle using the corrected energy consumption, including changing a logic state of the vehicle.

Abstract: A system having a resource-availability module configured to cause the processing unit to determine whether a resource scarcity condition exists in connection with providing map data to a mobile navigation unit. The system also includes a tuning-parameter module configured to cause the processing unit to, in response to determining that the resource scarcity condition exists, determine a tuning parameter to use in preparing map data to provide to the mobile navigation unit. The system further includes an encoding module configured to cause the processing unit to encode map data based on the tuning parameter, and a map-data-delivery module configured to cause the processing unit to provide or make available the encoded map data to the mobile navigation unit.

Abstract: A system having a resource-availability module configured to cause the processing unit to determine whether a resource scarcity condition exists in connection with providing map data to a mobile navigation unit. The system also includes a tuning-parameter module configured to cause the processing unit to, in response to determining that the resource scarcity condition exists, determine a tuning parameter to use in preparing map data to provide to the mobile navigation unit. The system further includes an encoding module configured to cause the processing unit to encode map data based on the tuning parameter, and a map-data-delivery module configured to cause the processing unit to provide or make available the encoded map data to the mobile navigation unit.

Abstract: A system configured to receive baseline map data from a remote map-data source, and determine whether the baseline map data is sufficient for present mobile navigation-unit function, yielding a map-sufficiency determination. If the map-sufficiency determination is affirmative, using the baseline map data for the present mobile navigation-unit function. If the map-sufficiency determination is negative, the system predicts navigation-unit movement, obtains based on the navigation-unit movement predicted, supplemental map data, and uses the baseline map data and the supplemental map data for the present mobile navigation-unit function.

Abstract: A modified clay is provided, which includes a layered clay material intercalated with a modifier having a conjugated double bond and capable of producing free radicals when heated. A clay-polymer composite is also provided, which includes a polymer material and the modified clay, wherein the modified clay is dispersed in the polymer material and at least partially exfoliated. The modifier is capable of producing free radicals when heated to scavenge free radicals generated from thermal cracking or burning of the polymer material to prevent further thermal cracking of the polymer material.

Abstract: A mobile computing apparatus simulates the performance of a virtual vehicle using the route, driving behavior and loading experience of a baseline vehicle. The baseline vehicle is instrumented and operational data is collected, forming a data set. The apparatus includes simulator logic configured to construct a duty cycle from the data set representative of the operation of the baseline vehicle during travel along the route (e.g., a loading duty cycle). The data set includes route data with distance and vehicle speed information, engine data associated with the engine, and operational element data. The logic defines a virtual vehicle that is the same as the baseline vehicle but that includes a virtual operational element, such as a transmission, that is different than that in the baseline vehicle. The logic determines a performance characteristic, such as fuel economy, of the virtual vehicle using the constructed duty cycle.

Abstract: A mobile computing apparatus simulates the performance of a virtual vehicle using the route, driving behavior and loading experience of a baseline vehicle. The baseline vehicle is instrumented and operational data is collected, forming a data set. The apparatus includes simulator logic configured to construct a duty cycle from the data set representative of the operation of the baseline vehicle during travel along the route (e.g., a loading duty cycle). The data set includes route data with distance and vehicle speed information, engine data associated with the engine, and operational element data. The logic defines a virtual vehicle that is the same as the baseline vehicle but that includes a virtual operational element, such as a transmission, that is different than that in the baseline vehicle. The logic determines a performance characteristic, such as fuel economy, of the virtual vehicle using the constructed duty cycle.