Abstract: A method includes following steps. A semiconductor fin is formed on a substrate. A shallow trench isolation (STI) region is formed around a lower portion of the semiconductor fin. An STI protection layer is over the STI region. After forming the STI protection layer, source/drain recesses are etched in the semiconductor fin. Source/drain epitaxial regions are formed in the source/drain recesses.

Abstract: This technology provides systems and methods for a vehicle computing system (VCS) for autonomous driving. This VCS furnishes End-to-End models that provide sensing, prediction, planning, decision-making, and control functions. The VCS executes vehicle control algorithms, trains general AI models, and makes inferences from those AI models. Specifically, a computing subsystem of the VCS performs computation methods that train a tensor-centered model and/or make inferences from a tensor-centered model. Additionally, the VCS gathers data from a roadside unit network, an onboard unit, a cloud platform, a traffic control center/traffic control unit, and a traffic operations center (TOC), thereby enhancing the safety and efficiency of autonomous driving.

Abstract: The invention provides systems and methods for a vehicle-based cloud computing system (VCCS) for autonomous driving. This VCCS builds world models based on a series of complex scenario data to optimize sensing, prediction, planning, decision making, and control for autonomous driving. The VCCS can execute vehicle control algorithms, train general AI models, and make inferences to optimize autonomous driving. Specifically, it dynamically adjusts driving strategies based on long tail scenarios including but not limited to weather, work zone information, and traffic status, ensuring safe and efficient vehicle operation. Additionally, the VCCS can gather supplementary data from (a) a roadside unit (RSU) network, (b) another OBU, (c) a cloud platform, (d) a traffic control center/traffic control unit (TCC/TCU), and (e) a traffic operations center (TOC), thereby further improving control and efficiency in complex driving environments.

Abstract: Various embodiments include protection layers for a transistor and methods of forming the same. In an embodiment, a method includes: exposing a semiconductor nanostructure, a dummy nanostructure, and an isolation region by removing a dummy gate; increasing a deposition selectivity between a top surface of the semiconductor nanostructure and a top surface of the isolation region relative a selective deposition process; depositing a protection layer on the top surface of the isolation region by performing the selective deposition process; removing the dummy nanostructure by selectively etching a dummy material of the dummy nanostructure at a faster rate than a protection material of the protection layer; and forming a gate structure around the semiconductor nanostructure.

Abstract: This application provides example data processing methods and systems. One example data processing method includes obtaining a first metadata stream of a first file system, where the first metadata stream is a streaming structure and includes multiple records, and each of the multiple records includes an identifier of a node in the first file system, an identifier of a parent node of the node, and an attribute of the node. A hierarchy of multiple nodes in the first file system is determined based on the first metadata stream.

Abstract: Provided herein is a technology for an Autonomous Vehicle Cloud System (AVCS). This AVCS provides sensing, data fusion, prediction, decision-making, and/or control instructions for specific vehicles at a microscopic level based on data from one or more of other vehicles, roadside unit (RSU), cloud-based platform, and traffic control center/traffic control unit (TCC/TCU). Specifically, the AVs can be effectively and efficiently operated and controlled by the AVCS. The AVCS provides individual vehicles with detailed time-sensitive control instructions for fulfilling driving tasks, including car following, lane changing, route guidance, and other related information. The AVCS is configured to predict individual vehicle behavior and provide planning and decision-making at a microscopic level. In addition, the AVCS is configured to provide one or more of virtual traffic light management, travel demand assignment, traffic state estimation, and platoon control.

Abstract: A data migration method and a related apparatus are provided. An example migration scheduling apparatus determines a migration task of migrating data of a first file from a source device to a destination device, and performs a first change on metadata of the first file, to trigger the source device or the destination device to complete the migration task based on the first change performed on the metadata of the first file.

Abstract: Provided are a vacuum head, a collection bin, a cleaning tray, a filter assembly, and a cleaning apparatus. The cleaning apparatus includes: a housing, a rolling brush, and a cleaning assembly, where the cleaning assembly includes a cleaning medium inlet and a plurality of cleaning medium spray orifices; the plurality of cleaning medium spray orifices face the rolling brush, and lengths of flow channels from various cleaning medium spray orifices to the cleaning medium inlet are equal. According to the present disclosure, a cleaning medium may be sprayed to a rolling brush surface uniformly, so that the rolling brush may be cleaned completely, thereby improving the cleaning efficiency and the cleanliness of the rolling brush.

Abstract: Provided herein is a technology for an Autonomous Vehicle Intelligent System (AVIS), which facilitates vehicle operations and control for autonomous driving. The AVIS and related methods provide vehicles with vehicle-specific information for a vehicle to perform driving tasks such as car following, lane changing, and route guidance. The AVIS comprises an onboard unit (OBU), wherein the OBU comprises a communication module communicating with one or more of other autonomous vehicles (AV), a roadside unit (RSU), a cloud platform, and a traffic control center/traffic control unit (TCC/TCU). The AVIS implements one or more of the following functions: sensing, prediction, decision-making, and vehicle control using onboard information and vehicle-specific information received from other AVs, the RSU, the cloud platform, and/or the TCC/TCU.

Abstract: The invention provides systems and methods for a computing power allocation system for autonomous driving (CPAS-AD), which is a component of an Intelligent Road Infrastructure System (IRIS). The CPAS-AD incorporates advanced computing capabilities that effectively allocate computational power for sensing, prediction, planning, decision-making, and control functions to enable end-to-end driving functions. In addition to the vehicle, the CPAS-AD can acquire additional computation resources from one or more of: (a) a roadside unit (RSU) network, (b) a cloud platform, (c) a traffic control center/traffic control unit (TCC/TCU), and (d) a traffic operations center (TOC). Additionally, tailored to different traffic scenarios, the CPAS-AD can allocate data and computation resources (including but not limited to CPU and GPU) for vehicle sensing, prediction, planning, decision-making, and control functions, thereby enabling safe and efficient autonomous driving.

Abstract: A naked-eye three-dimensional (3D) display device (600) is provided. The naked-eye 3D display device (600) comprises: a display component (610), comprising an array of display units (110); and a viewing angle regulator (620), comprising an array of microprism blocks (120, 620-1, 620-2, 620-3, 620-4, 620-5, 620-6). The microprism blocks (120, 620-1, 620-2, 620-3, 620-4, 620-5, 620-6) are divided into a plurality of groups, and an angle combination of a first angle (?1) and a second angle (?2) of each of the microprism blocks (120, 620-1, 620-2, 620-3, 620-4, 620-5, 620-6) is preset so that outgoing lights of the same group of microprism blocks converge into the same viewpoint, and outgoing lights of different groups of microprism blocks converge into different viewpoints. Hence, a plurality of different viewpoints are formed by setting angles of inclined surfaces of the microprism blocks (120, 620-1, 620-2, 620-3, 620-4, 620-5, 620-6), thereby seeing different 3D display effects from different viewing angles.

Abstract: The invention provides systems and methods for a function-based computing power allocation system (FCPAS), which is a component of an Intelligent Road Infrastructure System (IRIS). The FCPAS incorporates advanced computing capabilities that effectively allocate computational power for prediction, planning, and decision making functions. Specifically, through the FCPAS, an AV can acquire additional computational resources for vehicle prediction, planning, and decision-making functions, thereby enabling safe and efficient autonomous driving. Additionally, tailored to different traffic scenarios, the FCPAS can allocate data and computational resources (including but not limited to CPU and GPU) for vehicle automation.

Abstract: The technology provided herein relates to a roadside infrastructure sensing system for Intelligent Road Infrastructure Systems (IRIS) and, in particular, to devices, systems, and methods for data fusion and communication that provide proactive sensing support to connected and automated vehicle highway (CAVH) systems.

Abstract: A system for testing intelligent vehicles, including a test bench, a hardware-in-the-loop sub-system, a software-in-the-loop sub-system, a target-in-the-loop sub-system and a test management platform. The test bench is configured to simulate the resistance of the actual road according to the road resistance parameters, and simulate the posture of the actual road according to the road posture parameters.

Abstract: This technology provides designs and methods for the vehicle on-board unit (OBU), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. OBU systems provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, route guidance. OBU systems also realize transportation operations and management services for both freeways and urban arterials. The OBU composed of the following devices: 1) a vehicle motion state parameter and environment parameter collection unit; 2) a multi-mode communication unit; 3) a location unit; 4) an intelligent gateway unit, and 5) a vehicle motion control unit. The OBU systems realize one or more of the following function categories: sensing, transportation behavior prediction and management, planning and decision making, and vehicle control.

Abstract: A mold for preparing large-size rare earth magnesium alloy ingot without tail shrinkage by back pressure plastic deformation includes a male mold, a female mold, a recoverable discard block and a back pressure plate connected with a pushing cylinder of the press machine. The female mold is provided with an upper mold cavity and a lower mold cavity, an upper part of the upper mold cavity is configured for placing blanks, the recoverable discard block and the male mold, and a lower part of the upper mold cavity is inclined inward to form an extrusion deformation area. The recoverable discard block is configured to be deformed to fill an extrusion deformation area and subsequently restored into the initial state of the recoverable discard block.

Abstract: A method includes the following steps. A transistor including a first gate structure is formed on a first substrate. A first dielectric layer is deposited over the transistor using plasma enhanced atomic layer deposition (PEALD). A multilayer stack is formed on a second substrate. The multilayer stack comprises alternately stacked semiconductor layers and sacrificial layers. A second dielectric layer is deposited over the multilayer stack using a plasma enhanced atomic layer deposition (PEALD). The second dielectric layer is bonded with the first dielectric layer. The sacrificial layers are replaced with a second gate structure.

Abstract: Provided are delocalized lipophilic cation (DLC) compounds and methods of using such compounds. Also provided are pharmaceutical compositions that include a DLC compound. Provided methods include methods of killing cells and methods of fluorescently labeling mitochondria by contacting the cells with a DLC compound of the present disclosure. Also provided are methods of imaging cell mitochondria, methods of determining whether a patient has a mitochondria related disease, and methods of treating a patient for a mitochondria related disease. Kits that include compounds of the present disclosure are also provided.

Abstract: Semiconductor structures and methods of forming the same are provided. An exemplary method includes depositing a contact etch stop layer (CESL) and an interlayer dielectric (ILD) layer over a bottom epitaxial source/drain feature formed in a bottom portion of a source/drain trench, etching back the CESL and the ILD layer to expose a top portion of the source/drain trench, performing a plasma-enhanced atomic layer deposition process (PEALD) to form an insulating layer over the source/drain trench, where the insulating layer comprises a non-uniform deposition thickness and comprises a first portion in direct contact with the ILD layer and a second portion extending along a sidewall surface of the top portion of the source/drain trench. Method also includes removing the second portion of the insulating layer and forming a top bottom epitaxial source/drain feature on the second portion of the insulating layer and in the source/drain trench.

Abstract: A semiconductor device includes: a substrate; a fin protruding above the substrate; a gate structure over the fin; source/drain regions over the fin and on opposing sides of the gate structure; channel layers over the fin and between the source/drain regions, where the gate structure wraps around the channel layers; and isolation structures under the source/drain regions, where the isolation structures separate the source/drain regions from the fin, where each of the isolation structures includes a liner layer and a dielectric layer over the liner layer, where the dielectric layer has a plurality of sublayers.