Abstract: Light-emitting devices including solid-state light-emitting devices, light-emitting diode (LED) devices, and LED packages with support elements for improved near-field and far-field emissions are disclosed. LED chips may be mounted to support elements in a manner that directs light through the support elements in desired emission directions. Support elements include optical structures that spread and mix light laterally within the support element. Optical structures include various light-altering layers, such as light-diffusing layers or light-reflective layers, that are arranged to effectively increase internal reflections for lateral spreading of light. Patterned arrangements of light-altering layers include portions that mask direct emissions for LED chips, thereby redistributing emissions laterally to increase near-field and/or far-field uniformity across an increased portion of emitting surfaces.

Abstract: The disclosure describes various embodiments for detecting an unexpected control state of an autonomous driving system. According to an embodiment, an exemplary method of detecting an unexpected control state of an autonomous driving system include the operations of generating environmental data of a vehicle; determining, by the autonomous driving system, a first control state based on the environmental data of the vehicle; determining, by a reference model, a second control state based on the environmental data, wherein the reference model defines at least one scenario each corresponding to a plurality of expected control states and a state switching condition, and in each of the expected control states corresponding to the scenario, an action of the vehicle in the scenario obeys a traffic rule; and determining the unexpected control state of the autonomous driving system by comparing the first control state with the second control state.

Abstract: A comprehensive system for potential risk identification and pollution prewarning of groundwater comprises a cable laying device, a monitoring cable, and an electromagnetic retrieving device which are located in groundwater between two adjacent wells, wherein the two adjacent wells comprise a first well and a second well, the second well is located at a lower water level of the first well and communicates with the first well, the electromagnetic retrieving device is located in the second well, a plurality of sensors are arranged on the monitoring cable, and one end of the monitoring cable is connected to the cable laying device. The cable laying device comprises a device body, an anchoring module arranged at a bottom of the device body, and an electromagnetic adsorption module arranged on the device body. The monitoring cable is connected to the cable laying device after passing through the anchoring module.

Abstract: Embodiments generate effective mutation directions for fuzzing by using an abstract interpretation engine that for each of a set of input variables determines whether, for an input value range, a source code comprises a potential bug. The abstract interpretation engine generates a list of potential bugs that is provided to a machine learning engine (e.g., a reinforcement learning engine) that, iteratively for each potential bug, generates a learned input value range that is narrower than the input value range. The learned input value range is provided to the abstract interpretation engine, which updates the input value range, and to a fuzzer, which limits a search space for generating a set of seeds that is used to identify bugs in the source code.

Abstract: A method for processing autonomous driving simulation data. The method includes: determining a type of a message transmitted between a simulation system and an auto driving system (ADS); determining a data acquisition mode based on the type of the message; obtaining a data stream transmitted between the simulation system and the ADS based on the data acquisition mode; and determining performance of the ADS based on the data stream.

Abstract: The present disclosure provides an image processing method and apparatus, an electronic device and a storage medium, which relate to the field of computer technology, and more particularly to artificial intelligence technology including computer vision, deep learning and the like. The image processing method includes: recognizing the image to be processed to determine attribute information of each object included in the image to be processed; determining a target thermal image to be recognized according to the attribute information of each object and the image to be processed; reconstructing the target thermal image to generate a first reconstructed image; and determining whether the image to be processed includes an object of a preset class according to a difference between the first reconstructed image and the target thermal image.

Abstract: A comprehensive system for potential risk identification and pollution prewarning of groundwater comprises a cable laying device, a monitoring cable, and an electromagnetic retrieving device which are located in groundwater between two adjacent wells, wherein the two adjacent wells comprise a first well and a second well, the second well is located at a lower water level of the first well and communicates with the first well, the electromagnetic retrieving device is located in the second well, a plurality of sensors are arranged on the monitoring cable, and one end of the monitoring cable is connected to the cable laying device. The cable laying device comprises a device body, an anchoring module arranged at a bottom of the device body, and an electromagnetic adsorption module arranged on the device body. The monitoring cable is connected to the cable laying device after passing through the anchoring module.

Abstract: Light-emitting devices with active electrical elements and light-emitting diodes (LEDs) are disclosed. LEDs may be mounted on an active electrical element such that the LEDs are within peripheral edges of the active electrical element. Contact pads may be arranged on the active electrical element for receiving external power and communication signals for active control of the LEDs. A light-transmissive carrier may be positioned over the active electrical element and the LEDs. Electrical traces of the carrier may be configured to electrically connect with the contact pads to route external power connections and communication signals for the active electrical element. Other electrical traces of the carrier may form a touch sensing element that is electrically coupled with the active electrical element. Active electrical elements with LEDs provided thereon may form compact sizes for use as active LED pixels configured for active-matrix addressing within an LED display.

Abstract: Provided herein are methods of treating NLRP3 inflammasome-associated diseases and disorders. Also, disclosed are methods for screening for agents useful in such methods.

Abstract: Solid-state lighting devices including light-emitting diodes (LEDs), and more particularly LED packages are disclosed. Arrangements for LED packages are disclosed that provide improved reliability and improved emission characteristics in a variety of applications, including outdoor LED displays as well as general illumination. LED packages are disclosed with linear arrangements of LED chips and corresponding lenses to provide improved visibility and color mixing at higher viewing angles. LED packages are disclosed that include different types of lenses that are arranged within the same LED package depending on desired emission characteristics. Body structures for LED packages are disclosed that include arrangements for improved adhesion with encapsulant materials and optional potting materials to provide improved moisture barriers.

Abstract: A method for evaluating an autonomous driving system, an apparatus, and a storage medium are provided. The method includes: determining an attack or a defense, where the attack is a first input configured to increase an error rate of a component of the autonomous driving system, and the defense is a second input configured to decrease the error rate; simulating a driving scenario of a vehicle, where the driving scenario includes a driving environment and a vehicle configuration; applying the attack or the defense on at least one of the autonomous driving system, or the driving scenario; generating, by the autonomous driving system based on the driving scenario, an instruction of controlling a traveling of the vehicle in the driving scenario; simulating the traveling of the vehicle in the driving scenario based on the instruction; and determining an evaluation result based on a traveling result of the vehicle.

Abstract: Provided are a data processing method and apparatus, an electronic device, and a medium, and relates to the technical field of computers, and in particular to the field of autonomous driving and intelligent transportation. An implementation is: obtaining risk information in driving scenario data of a driving scenario; determining a risk factor set based on the risk information, where the risk factor set includes a risk factor existing in the driving scenario data; and generating a simulated risk scenario based on the risk factor set, where the simulated risk scenario reflects at least one risk factor in the risk factor set.

Abstract: Methods and compositions are provided for oligonucleotide probes and oligonucleotide probe libraries that recognize targets of interest. The targets include circulating biomarkers such as microvesicles, including those derived from various diseases.

Abstract: The present disclosure provides an image processing method and apparatus, an electronic device and a storage medium, which relate to the field of computer technology, and more particularly to artificial intelligence technology including computer vision, deep learning and the like. The image processing method includes: recognizing the image to be processed to determine attribute information of each object included in the image to be processed; determining a target thermal image to be recognized according to the attribute information of each object and the image to be processed; reconstructing the target thermal image to generate a first reconstructed image; and determining whether the image to be processed includes an object of a preset class according to a difference between the first reconstructed image and the target thermal image.

Abstract: A method for processing autonomous driving simulation data. The method includes: determining a type of a message transmitted between a simulation system and an auto driving system (ADS); determining a data acquisition mode based on the type of the message; obtaining a data stream transmitted between the simulation system and the ADS based on the data acquisition mode; and determining performance of the ADS based on the data stream.

Abstract: Embodiments of the disclosure disclose a system to mitigate against adversarial input samples for machine learning (ML)/artificial intelligence (AI) models. According to one embodiment, a system receives a query from a client for a ML service. The system calculates a similarity score for the query based on a number of prior queries received from the client, the similarity score representing a similarity between the received query and the prior queries. The system determines that the query is an adversarial query in response to determining that the similarity score is above a predetermined threshold.

Abstract: The disclosure describes various embodiments for detecting an unexpected control state of an autonomous driving system. According to an embodiment, an exemplary method of detecting an unexpected control state of an autonomous driving system include the operations of generating environmental data of a vehicle; determining, by the autonomous driving system, a first control state based on the environmental data of the vehicle; determining, by a reference model, a second control state based on the environmental data, wherein the reference model defines at least one scenario each corresponding to a plurality of expected control states and a state switching condition, and in each of the expected control states corresponding to the scenario, an action of the vehicle in the scenario obeys a traffic rule; and determining the unexpected control state of the autonomous driving system by comparing the first control state with the second control state.

Abstract: Light-emitting devices with active electrical elements and light-emitting diodes (LEDs) are disclosed. LEDs may be mounted on an active electrical element such that the LEDs are within peripheral edges of the active electrical element. Contact pads may be arranged on the active electrical element for receiving external power and communication signals for active control of the LEDs. A light-transmissive carrier may be positioned over the active electrical element and the LEDs. Electrical traces of the carrier may be configured to electrically connect with the contact pads to route external power connections and communication signals for the active electrical element. Other electrical traces of the carrier may form a touch sensing element that is electrically coupled with the active electrical element. Active electrical elements with LEDs provided thereon may form compact sizes for use as active LED pixels configured for active-matrix addressing within an LED display.

Abstract: According to various embodiments, an end-to-end TTS framework can integrate a watermarking process into the training of the TTS framework, which enables watermarks to be imperceptible within a synthesized/cloned audio segment generated by the TTS framework. The watermarks added in such a matter are statistically undetectable to prevent authorized removal. According to an exemplary method of training the TTS framework, a TTS neural network model and a watermarking neural network mode in the TTS framework are trained in an end to end manner, with the watermarking being part of the optimization process of the TTS framework. During the training, neuron values of the TTS neural network model are adjusted based on training data to prepare one or more spaces for adding a watermark in a synthesized audio segment to be generated by the TTS framework.

Abstract: Provided herein are methods of treating NLRP3 inflammasome-associated diseases and disorders. Also, disclosed are methods for screening for agents useful in such methods.