Abstract: Various methods are provided for generating motion vectors in the context of 3D computer-generated images. An example method includes generating, for each pixel of one or more objects to be rendered in a current frame, a 1-phase motion vector (MV1) and a 0-phase motion vector (MV0), each MV1 and MV0 having an associated depth value, to thereby form an MV1 texture and an MV0 texture; converting the MV1 texture to a set of MV1 blocks and converting the MV0 texture to a set of MV0 blocks; and outputting the set of MV1 blocks and the set of MV0 blocks for image processing.

Abstract: Various methods are provided for the generation of motion vectors in the context of 3D computer-generated images. In one example, a method includes generating, for each pixel of one or more objects to be rendered in a current frame, a 1-phase motion vector (MV1) and a 0-phase motion vector (MV0), each MV1 and MV0 having an associated depth value, to thereby form an MV1 texture and an MV0 texture, each MV0 determined based on a camera MV0 and an object MV0, and outputting MV1 texture and the MV0 texture for image processing.

Abstract: Semiconductor devices and methods of forming the same are provided. In an embodiment, an exemplary semiconductor device includes a vertical stack of channel members disposed over a substrate, a gate structure wrapping around each channel member of the vertical stack of channel members, a source/drain feature electrically coupled to the vertical stack of channel members, a silicide layer formed on more than one side of the source/drain feature, and a source/drain contact electrically coupled to the source/drain feature via the silicide layer.

Abstract: System and method for determining a 3D coordinate of a moving target are provided. The system may obtain 2D detection data of the moving target generated by a 2D detection device including two detection assemblies that are mounted at a known height above a horizontal plane along a first axis that forms a tilting angle with the horizontal plane. The system may determine a 2D coordinate of the moving target in a first coordinate system including the first axis and a second axis that is perpendicular to the first axis based on the 2D detection data. The 2D coordinate of the moving target may include a first value of the first axis and a second value of the second axis. The system may determine the 3D coordinate of the moving target in a second coordinate system based on the 2D coordinate, the tilting angle, and the known height.

Abstract: A semiconductor device with different gate structure configurations and a method of fabricating the semiconductor device are disclosed. The method includes depositing a high-K dielectric layer surrounding nanostructured channel regions, performing a first doping with a rare-earth metal (REM)-based dopant on first and second portions of the high-K dielectric layer, and performing a second doping with the REM-based dopants on the first portions of the high-K dielectric layer and third portions of the high-K dielectric layer. The first doping dopes the first and second portions of the high-K dielectric layer with a first REM-based dopant concentration. The second doping dopes the first and third portions of the high-K dielectric layer with a second REM-based dopant concentration different from the first REM-based dopant concentration.

Abstract: Methods, systems, and computer programs are presented for scheduling user notifications to maximize short-term and long-term benefits from sending the notifications. One method includes an operation for identifying features of a state used for reinforcement learning. The state is associated with an action to decide if a notification to a user is to be sent and a reward for sending the notification to the user. Further, the method includes capturing user responses to notifications sent to users to obtain training data and training a machine-learning (ML) algorithm with reinforcement learning based on the features and the training data to obtain an ML model. Additionally, the method includes receiving a request to send a notification to the user, and deciding, by the ML model, whether to send the notification based on a current state. The notification is sent to the user based on the decision.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.

Abstract: System and method for determining a 3D coordinate of a moving target are provided. The system may obtain 2D detection data of the moving target generated by a 2D detection device including two detection assemblies that are mounted at a known height above a horizontal plane along a first axis that forms a tilting angle with the horizontal plane. The system may determine a 2D coordinate of the moving target in a first coordinate system including the first axis and a second axis that is perpendicular to the first axis based on the 2D detection data. The 2D coordinate of the moving target may include a first value of the first axis and a second value of the second axis. The system may determine the 3D coordinate of the moving target in a second coordinate system based on the 2D coordinate, the tilting angle, and the known height.

Abstract: The disclosed technologies include a navigation agent for a search interface. In an embodiment, the navigation agent uses reinforcement learning to dynamically generate and select navigation options for presentation to a user during a search session. The navigation agent selects navigation options based on reward scores, which are computed using implicit and/or explicit user feedback received in response to presentations of navigation options.

Abstract: Methods, systems, and computer programs are presented for scheduling user notifications to maximize short-term and long-term benefits from sending the notifications. One method includes an operation for identifying features of a state used for reinforcement learning. The state is associated with an action to decide if a notification to a user is to be sent and a reward for sending the notification to the user. Further, the method includes capturing user responses to notifications sent to users to obtain training data and training a machine-learning (ML) algorithm with reinforcement learning based on the features and the training data to obtain an ML model. Additionally, the method includes receiving a request to send a notification to the user, and deciding, by the ML model, whether to send the notification based on a current state. The notification is sent to the user based on the decision.

Abstract: A system and method for binocular stereo vision is disclosed. The method includes acquiring a pair of images including a first image and a second image, the pair of images being captured by one or more cameras; obtaining a training model; determining a plurality of feature images according to the first image; determining one or more features of an object in the first image according to the training model and the plurality of feature images; determining a first area in the first image, the first area including at least one of the determined one or more features; obtaining depth information of the determined first area based on the first and second images; and determining a second area in the first image based on the determined first area and depth information, the second area including at least one of the determined first area.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.

Abstract: A system and method for binocular stereo vision is disclosed. The method includes acquiring a pair of images including a first image and a second image, the pair of images being captured by one or more cameras; obtaining a training model; determining a plurality of feature images according to the first image; determining one or more features of an object in the first image according to the training model and the plurality of feature images; determining a first area in the first image, the first area including at least one of the determined one or more features; obtaining depth information of the determined first area based on the first and second images; and determining a second area in the first image based on the determined first area and depth information, the second area including at least one of the determined first area.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.

Abstract: The present disclosure relates to a method of forming a back-end-of-the-line metallization layer. The method is performed by forming a plurality of freestanding metal layer structures (i.e., metal layer structures not surrounded by a dielectric material) on a semiconductor substrate within an area defined by a patterned photoresist layer. A diffusion barrier layer is deposited onto the metal layer structure in a manner such that the diffusion barrier layer conforms to the top and sides of the metal layer structure. A dielectric material is formed on the surface of the substrate to fill areas between metal layer structures. The substrate is planarized to remove excess metal and dielectric material and to expose the top of the metal layer structure.

Abstract: The present disclosure relates to a method of forming a back-end-of-the-line metallization layer. The method is performed by forming a plurality of freestanding metal layer structures (i.e., metal layer structures not surrounded by a dielectric material) on a semiconductor substrate within an area defined by a patterned photoresist layer. A diffusion barrier layer is deposited onto the metal layer structure in a manner such that the diffusion barrier layer conforms to the top and sides of the metal layer structure. A dielectric material is formed on the surface of the substrate to fill areas between metal layer structures. The substrate is planarized to remove excess metal and dielectric material and to expose the top of the metal layer structure.

Abstract: Methods of making an integrated circuit are disclosed. An embodiment method includes etching a trench in a silicon substrate, depositing a first layer of isolation material in the trench, the first layer of isolation material projecting above surface of the silicon substrate, capping the first layer of isolation material by depositing a second layer of isolation material, the second layer of isolation material extending along at least a portion of sidewalls of the first layer of isolation material, epitaxially-growing a silicon layer upon the silicon substrate, the silicon layer horizontally adjacent to the second layer of isolation material, and forming a gate structure on the silicon layer, the gate structure defining a channel.

Abstract: A method for reducing dark current in image sensors comprises providing a backside illuminated image sensor wafer, depositing a first passivation layer on a backside of the backside illuminated image sensor wafer, depositing a plasma enhanced passivation layer on the first passivation layer and depositing a second passivation layer on the plasma enhanced passivation layer.

Abstract: A method and an apparatus for forming a cleaning a chemical vapor deposition (CVD) chamber are provided. The method includes providing a chemical vapor deposition (CVD) chamber. The method further includes introducing a remote plasma source into the CVD chamber. The method also includes performing a plasma cleaning process to the CVD chamber by applying a radio-frequency (RF) power in the CVD chamber.