Abstract: Systems and methods are provided to control operational parameter(s) of a spin-on process based on a localized fluid velocity of a processing liquid dispensed onto a surface of a spinning semiconductor substrate. In the present disclosure, a tracer is introduced within, or incorporated onto a surface of, a processing liquid as the processing liquid is dispensed onto the spinning semiconductor substrate. Movement of the tracer is tracked over time, as the tracer flows along with the processing liquid across the spinning substrate surface, to determine a localized fluid velocity of the processing liquid at one or more radial positions on the substrate surface. The localized fluid velocity is then used to control one or more operational parameters of a spin-on process.

Abstract: The present teaching relates to method, system, medium, and implementations for sensor calibration. A request is received from an ego vehicle in motion for assistance in collaborative calibration, when the ego vehicle determines that a sensor deployed thereon needs to be calibrated. The request includes at least one of a first position of the ego vehicle and a first configuration of the sensor with respect to the ego vehicle. An assisting vehicle is identified based on the first position, the first configuration, and a second position associated with the assisting vehicle and an assistance plan is generated in response to the request indicative of the assisting vehicle to travel to the ego vehicle to facilitate the calibration of the sensor by collaborating with the moving ego vehicle. Such generated assistance plan is then sent out to initiate the collaborative calibration.

Abstract: Embodiments of processing systems and methods are provided to control operational parameter(s) of a spin-on process based on a fluid height and/or a fluid velocity of a processing liquid dispensed onto a surface of a spinning semiconductor substrate. The disclosed embodiments determine the fluid height and/or the fluid velocity of the processing liquid by: (a) monitoring an intensity of light, which is transmitted through the processing liquid as the processing liquid flows across the surface of the spinning substrate or leaves the periphery of the spinning substrate, or (b) monitoring how long it takes for the processing liquid to flow from a dispensed location to the periphery of the spinning substrate. Once determined, the fluid velocity is used to control one or more operational parameters of a spin-on process.

Abstract: An optical apparatus includes a waveguide structure, a grating pattern positioned on a surface of the waveguide structure and including a plurality of protrusion structures, and a respective insert structure positioned in each of the protrusion structures and on the surface of the waveguide structure, which results in a plurality of insert structures. The protrusion structures have a higher refractive index (RI) than the waveguide structure. The insert structures are reflective to an incident light beam. The protrusion structures and the insert structures are configured to redirect the incident light beam into the waveguide structure.

Abstract: In implementation of techniques for generating video from an image based on variable speed, a computing device implements a variable speed system to receive a static digital image displayed in a user interface, an indication of a movement direction, and an indication of a variable rate of speed. The variable speed system generates a digital video based on the static digital image, the digital video having pixels that move in the movement direction at a speed that varies based on the variable rate of speed based on pixels from the static digital image. The variable speed system then displays the digital video in the user interface.

Abstract: The present disclosure is related to the field of digital communication and provides a method and system for providing personalized multimodal objects in real-time. An object predicting system receives a text input from at least one application installed in a user device associated with a user. Thereafter, the object predicting system determines an intent of the user by analyzing the text input, which is then correlated with contextual data to generate a query. Subsequently, the object predicting system performs a unified search in a universal database, based on the query, wherein the universal database comprises multimodal data. Further, a plurality of multimodal objects predicted in response to the unified search are ranked based on at least one of the contextual data and user preferences. Finally, at least one of the predicted plurality of multimodal objected related to the text input are provided to the user based on the ranking.

Abstract: An adaptive test generation system based on varying mastery levels of the user on educational standards to guide and constrain an AI engine in selecting educational standards for adaptive testing and updating user mastery levels based on real-time responses is disclosed. The method involves receiving a list of eligible standards, the user's knowledge graph, and dependencies between standards. A prompt is generated to direct AI engine in choosing the next educational standard for questioning. The AI engine selects a standard based on current knowledge graph and previous user responses, presents a question, and receives the user's answer. The knowledge graph is updated to reflect user's mastery levels of related standards. The AI engine then selects next standard, considering the updated knowledge graph and interdependencies among standards.

Abstract: This application is directed to augmenting training images used for generating vehicle driving models. A computer system obtains a first image of a road, identifies within the first image a drivable area of the road, obtains an image of a traffic safety object, and determines a detour path on the drivable area. The computer system determines positions of a plurality of traffic safety objects to be placed adjacent to the detour path, and generates a second image from the first image by adaptively overlaying a respective copy of the image of the traffic safety object at each of the positions of the plurality of traffic safety objects on the drivable area within the first image. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for facilitating driving a vehicle (e.g., at least partial autonomously).

Abstract: Systems and methods are provided to control operational parameter(s) of a spin-on process based on a localized fluid velocity of a processing liquid dispensed onto a surface of a spinning semiconductor substrate. In the present disclosure, a tracer is introduced within, or incorporated onto a surface of, a processing liquid as the processing liquid is dispensed onto the spinning semiconductor substrate. Movement of the tracer is tracked over time, as the tracer flows along with the processing liquid across the spinning substrate surface, to determine a localized fluid velocity of the processing liquid at one or more radial positions on the substrate surface. The localized fluid velocity is then used to control one or more operational parameters of a spin-on process.

Abstract: The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed thereon to facilitate autonomous driving needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor to a center. The request includes at least a first position of the ego vehicle on the route and a first configuration of the sensor with respect to the ego vehicle. When the ego vehicle receives a calibration assistant package, which includes information associated with a collaborative means present along the route and to be used to assist the ego vehicle to calibrate the sensor, it identifies, based on the information, the collaborative means along the route when the ego vehicle is in a vicinity of the collaborative means in order to capture a target present on the collaborative means to enable calibration of the sensor.

Abstract: Methods and apparatuses for providing a machine learning development platform that leverages a collection of reusable machine learning components and a natural language processing (NLP) assistant to reduce development time and reduce compute and data storage resources during the development and testing of machine learning programs are described. The NLP assistant may automatically configure, generate and test a pipeline of selected components from a collection of reusable machine learning components based on user instructions to the NLP assistant, component metadata that includes a natural language description for each component, and component interface information that includes input and output interface schemas for each component. The user instructions may comprise natural language instructions from text and/or audio transcriptions that specify a set of tasks to be performed by the pipeline of selected components.

Abstract: In some embodiments, a method can include executing a first machine learning model to detect at least one lane in each image from a first set of images. The method can further include determining an estimate location of a vehicle for each image, based on localization data captured using at least one localization sensor disposed at the vehicle. The method can further include selecting lane geometry data for each image, from a map and based on the estimate location of the vehicle. The method can further include executing a localization model to generate a set of offset values for the first set of images based on the lane geometry data and the at least one lane in each image. The method can further include selecting a second set of images from the first set of images based on the set of offset values and a previously-determined offset threshold.

Abstract: A method of processing a substrate includes forming a photoresist layer over the substrate, exposing the substrate to a pattern of an actinic radiation, where the exposing causes a photo-reaction in an exposed portion of the photoresist layer. The method includes treating the photoresist layer with a binding agent, where the binding agent is selectively adsorbed on a first portion of the photoresist layer, and performing a development process to remove a second portion of the photoresist, the first portion remaining after the development process.

Abstract: Various embodiments of improved systems and methods are provided herein to monitor process chemicals used in a semiconductor process. More specifically, new semiconductor processing systems and methods that utilize infrared (IR) spectroscopy techniques are provided herein to monitor the composition and/or concentration of process chemicals utilized to process a substrate and/or the by-products produced during substrate processing. By monitoring the process chemicals and/or the by-products in real-time, the systems and methods described herein can be used to provide better process control and/or end-point detection for a wide variety of semiconductor processes.

Abstract: A method for fabricating a semiconductor device with organometallic based photoresists and commercial extreme ultraviolet photolithography. The method for fabricating a semiconductor device includes applying organometallic based photoresist to a substrate and exposing the organometallic based photoresist to extreme ultraviolet photolithography. The method may include introducing an additive to the organometallic based photoresist to promote at least one of adhesion, passivation, reactivity and cross-linking of components in the organometallic based photoresist. The method may also include exposing the organometallic based photoresist to microwave radiation. The microwave radiation may couple with molecular motions, such as internal rotations, to enhance organometallic based photoresist cluster mobility or reorientations. In addition, microwave radiation may induce charge polarization and eddy currents in materials, resulting in induced electron transport and heating due to resistive losses.

Abstract: Embodiments disclosed herein include electronic packages with vents to prevent pressure buildup below a die. In an embodiment, an electronic package comprises a package substrate and a die attached to the package substrate by interconnects. In an embodiment, an underfill is under the die and surrounds the interconnects. In an embodiment, a void is provided in the underfill, and a vent is in the underfill. In an embodiment, the vent is fluidically coupled to the void and extends to an edge of the underfill.

Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining an image of an environment. A drivable area and boundary information associated with the environment are determined based on the image. At least one boundary for navigation of the environment is generated based on the drivable area and boundary information.

Abstract: Methods, systems, and non-transitory computer readable media are configured to perform operations comprising determining an occurrence of a sign in an environment of a vehicle; determining that at least a portion of the sign is unrecognized by a local machine learning model of the vehicle; and providing sensor data associated with the at least one portion of the sign to an operations center remote from the vehicle.

Abstract: The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed on the ego vehicle to facilitate autonomous driving of the ego vehicle needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor, with a first position of the ego vehicle or a first configuration of the sensor with respect to the ego vehicle. When a response of the request is received, an assisting vehicle is indicated to travel to be near the ego vehicle to facilitate the calibration of the sensor by collaborating with the moving ego vehicle and the ego vehicle coordinates with the assisting vehicle to enable the sensor to acquire information of a target present on the assisting vehicle for the collaborative calibration of the sensor.

Abstract: Systems and methods are provided to control operational parameter(s) of a spin-on process based on a localized fluid velocity of a processing liquid dispensed onto a surface of a spinning semiconductor substrate. In the present disclosure, a tracer is introduced within, or incorporated onto a surface of, a processing liquid as the processing liquid is dispensed onto the spinning semiconductor substrate. Movement of the tracer is tracked over time, as the tracer flows along with the processing liquid across the spinning substrate surface, to determine a localized fluid velocity of the processing liquid at one or more radial positions on the substrate surface. The localized fluid velocity is then used to control one or more operational parameters of a spin-on process.