Abstract: One example discloses a power converter, including: a power supply input configured to receive electrical power; a controller; an inductance having a first end coupled to the power supply input; a first load channel coupled to a second end of the inductance, and having a first select switch (SEL1) coupled to the controller, and configured to present a first output voltage (Vout1) and a first charge current from the power supply input to a first load; a second load channel coupled to the second end of the inductance, and having a second select switch (SEL2) coupled to the controller, and configured to present a second output voltage (Vout2) and a second charge current from the power supply input to a second load.

Abstract: An embodiment is a structure including a first fin over a substrate, a second fin over the substrate, the second fin being adjacent the first fin, an isolation region surrounding the first fin and the second fin, a gate structure along sidewalls and over upper surfaces of the first fin and the second fin, the gate structure defining channel regions in the first fin and the second fin, a source/drain region on the first fin and the second fin adjacent the gate structure, and an air gap separating the source/drain region from a top surface of the substrate.

Abstract: Provided is an integrated fan-out (InFO) package structure including a first die, a second die, a third die, a protective layer, and an interconnect structure. The first die has a first surface and a second surface opposite to each other. The first die has a plurality of through substrate vias (TSVs) protruding from the second surface. The second die and the third die are bonded on the first surface of the first die. The protective layer laterally surrounds protrusions of the plurality of TSVs that protrude from the second surface. The interconnect structure are disposed on the protective layer and electrically connected to the plurality of TSVs. The interconnect structure includes a polymer layer covering the protective layer.

Abstract: System, methods, and other embodiments described herein relate to detection of traffic lights corresponding to a driving lane from views captured by multiple cameras. In one embodiment, a method includes estimating, by a first model using images from multiple cameras, positions and state confidences of traffic lights corresponding to a driving lane of a vehicle. The method also includes aggregating, by a second model, the state confidences and a multi-view stereo composition from geometric representations associated with the positions of the traffic lights. The method also includes assigning, by the second model according to the aggregating, a relevancy score computed for a candidate traffic light of the traffic lights to the driving lane. The method also includes executing a task by the vehicle according to the relevancy score.

Abstract: A method for vehicle prediction, planning, and control is described. The method includes separately encoding traffic state information at an intersection into corresponding traffic state latent spaces. The method also includes aggregating the corresponding traffic state latent spaces to form a generalized traffic geometry latent space. The method further includes interpreting the generalized traffic geometry latent space to form a traffic flow map including current and future vehicle trajectories. The method also includes decoding the generalized traffic geometry latent space to predict a vehicle behavior according to the traffic flow map based on the current and future vehicle trajectories.

Abstract: System, methods, and other embodiments described herein relate to improving the detection of traffic lights associated with a driving lane using a camera instead of map data. In one embodiment, a method includes estimating, from an image using a first model, depth and orientation information of traffic lights relative to a driving lane of a vehicle. The method also includes computing, using a second model, relevancy scores for the traffic lights according to geometric inferences between the depth and the orientation information. The method also includes assigning, using the second model, a primary relevancy score for a light of the traffic lights associated with the driving lane according to the depth and the orientation information. The method also includes executing a control task by the vehicle according to the primary relevancy score and a state confidence, computed by the first model, for the light.

Abstract: A printer includes: a transfer unit configured to transfer printing paper in a printing direction; a printing unit configured to print information on transferred printing paper; a detection unit installed to face discharged printing paper on a printing paper discharge portion side, and configured to acquire measured values by detecting light while printing paper is transferred or when the transfer of printing paper is stopped; and a control unit configured to collect measured values of the detection unit while printing paper is transferred, to calculate a reference value by using the collected measured values, and to determine whether printing paper has been removed by comparing the calculated reference value with a measured value acquired by the detection unit when the transfer of printing paper is stopped.

Abstract: The present application provides a heterocyclic compound and an organic light emitting device in which the heterocyclic compound is contained in an organic material layer.

Abstract: The present invention relates to a system and method of securing artificial intelligence (AI) model based on field programmable gate array (FPGA) which is aimed at overcoming attacks against AI models by protecting the architecture of said AI model. The system comprises of a processor (401) and a custom instruction hardware (403) developed on at least one FPGA, wherein the processor (401) and custom instruction hardware (403) are connected via custom instruction interfaces. Through the custom instruction interfaces, the processor (401) performs matching of an authentication key given by a user to ensure that the application is running on trusted devices while the custom instruction hardware (403) decrypts an encrypted AI model if authentication is successful, before sending decrypted AI model to the processor to be executed in any suitable application such as AI inference.

Abstract: The present invention relates to neural network accelerator (103) in a field programmable gate array (FPGA) which is based on custom instruction interface of an embedded processor (102) in said FPGA, wherein said neural network accelerator (103) comprises of a command control block (301), at least one neural network layer accelerator (303) and a response control block (305). The amount of neural network layer accelerators (103) that can be implemented can be configured easily (such as adding a new type of layer accelerator (303) to said neural network layer accelerator (103)) in said FPGA, which makes said invention flexible and scalable.

Abstract: The present disclosure relates to a smart contact lens for diabetes diagnosis in which a diabetic diagnosis sensor is composed of platinum-plated electrodes, and a driving system using the same. The smart contact lens of the present disclosure is easy to mass-produce, has good wireless power transfer efficiency due to high electrical conductivity, may perform good communication with an external driving board, and may perform physically and electrochemically stable driving.

Abstract: The present invention relates to neural network accelerator (103) in a field programmable gate array (FPGA) which is based on custom instruction interface of an embedded processor in said FPGA and AXI master interface for DMA purposes, wherein said neural network accelerator (103) comprises of a command control block (301), at least one neural network layer accelerator (303), a response control block (305) and an AXI control block (307). The amount of neural network layer accelerators (103) that can be implemented can be configured easily (such as adding a new type of layer accelerator (303) to said neural network layer accelerator (103)) in said FPGA, which makes said invention flexible and scalable.

Abstract: A method for fabricating semiconductor device includes the steps of forming an inter-metal dielectric (IMD) layer on a substrate, forming a trench in the IMD layer, forming a synthetic antiferromagnetic (SAF) layer in the trench, forming a metal layer on the SAF layer, planarizing the metal layer and the SAF layer to form a metal interconnection, and forming a magnetic tunneling junction (MTJ) on the metal interconnection.

Abstract: A semiconductor structure includes a substrate, a first dielectric layer on the substrate, a plurality of memory stack structures on the first dielectric layer, an insulating layer conformally covering the memory stack structures and the first dielectric layer, a second dielectric layer on the insulating layer and filling the spaces between the memory stack structures, a first interconnecting structure through the second dielectric layer, wherein a top surface of the first interconnecting structure is flush with a top surface of the second dielectric layer and higher than top surfaces of the memory stack structures, a third dielectric layer on the second dielectric layer, and a plurality of second interconnecting structures through the third dielectric layer, the second dielectric layer and the insulating layer on the top surfaces of the memory stack structures to contact the top surfaces of the memory stack structures.

Abstract: A semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, a spacer adjacent to the MTJ, a liner adjacent to the spacer, and a first metal interconnection on the MTJ. Preferably, the first metal interconnection includes protrusions adjacent to two sides of the MTJ and a bottom surface of the protrusions contact the liner directly.

Abstract: The present disclosure relates to a heterocyclic compound represented by Chemical Formula 1 and an organic light emitting device comprising the same.

Abstract: System, methods, and other embodiments described herein relate to accurately distinguishing a traffic light from other illuminated objects in the traffic scene and detecting states using hierarchical modeling. In one embodiment, a method includes detecting, using a machine learning (ML) model, two-dimensional (2D) coordinates of illuminated objects identified from a monocular image of a traffic scene for control adaptation by a control model. The method also includes assigning, using the ML model, computed probabilities to the illuminated objects for categories within a hierarchical ontology of environmental lights associated with the traffic scene, wherein one of the probabilities indicates existence of a traffic light instead of a brake light in the traffic scene. The method also includes executing a task by the control model for a vehicle according to the 2D coordinates and the computed probabilities.

Abstract: In a method of recovering a transition metal, a first raw material containing an oxidized transition metal and a second raw material containing a reduced transition metal are prepared. A leached liquid containing at least one of nickel, cobalt and manganese is obtained from a raw material mixture of the first raw material and the second raw material. At least one of nickel, cobalt and manganese is obtained from the leached liquid.

Abstract: Systems, methods, and other embodiments described herein relate to improving trajectory forecasting in a device. In one embodiment, a method includes, in response to receiving sensor data about a surrounding environment of the device, identifying an object from the sensor data that is present in the surrounding environment. The method includes determining category probabilities for the object, the category probabilities indicating semantic classes for classifying the object and probabilities that the object belongs to the semantic classes. The method includes forecasting trajectories for the object based, at least in part, on the category probabilities and the sensor data. The method includes controlling the device according to the trajectories.

Abstract: The present specification provides a composition for an organic light emitting device and an organic light emitting device including the same.