Abstract: A device includes a fin extending from a semiconductor substrate; a gate stack over the fin; a first spacer on a sidewall of the gate stack; a source/drain region in the fin adjacent the first spacer; an inter-layer dielectric layer (ILD) extending over the gate stack, the first spacer, and the source/drain region, the ILD having a first portion and a second portion, wherein the second portion of the ILD is closer to the gate stack than the first portion of the ILD; a contact plug extending through the ILD and contacting the source/drain region; a second spacer on a sidewall of the contact plug; and an air gap between the first spacer and the second spacer, wherein the first portion of the ILD extends across the air gap and physically contacts the second spacer, wherein the first portion of the ILD seals the air gap.

Abstract: A semiconductor device and a method of forming the same are provided. The semiconductor device includes a substrate, a gate structure, a dielectric structure and a contact structure. The substrate has source/drain (S/D) regions. The gate structure is on the substrate and between the S/D regions. The dielectric structure covers the gate structure. The contact structure penetrates through the dielectric structure to connect to the S/D region. A lower portion of a sidewall of the contact structure is spaced apart from the dielectric structure by an air gap therebetween, while an upper portion of the sidewall of the contact structure is in contact with the dielectric structure.

Abstract: Disclosed is a thermal conduction-electrical conduction isolated circuit board with a ceramic substrate and a power transistor embedded, mainly comprising: a dielectric material layer, a heat-dissipating ceramic block, a securing portion, a stepped metal electrode layer, a power transistor, and a dielectric material packaging, wherein a via hole is formed in the dielectric material layer, the heat-dissipating ceramic block is correspondingly embedded in the via hole, the heat-dissipating ceramic block has a thermal conductivity higher than that of the dielectric material layer and a thickness less than that of the dielectric material layer, the stepped metal electrode layer conducts electricity and heat for the power transistor, the dielectric material packaging is configured to partially expose the source connecting pin, drain connecting pin, and gate connecting pin of the encapsulated stepped metal electrode layer.

Abstract: An electronic package is provided, in which an electronic module and a plurality of conductive pillars are embedded in an encapsulation layer, and a circuit structure is formed on the encapsulation layer, where the electronic module includes a carrier structure having conductive vias and at least a first electronic element disposed on the carrier structure. The first electronic element has a plurality of conductors in a form of conductive through-silicon vias, and at least a second electronic element is disposed on the circuit structure. Therefore, the design of the electronic module can reduce the layout area occupied by the electronic element on a surface of a packaging zone of the circuit structure, such that other functional elements can be added to the electronic package according to requirements, and the electronic package can improve functional requirements of the end product.

Abstract: An optical element driving mechanism includes a movable assembly, a fixed assembly, and a driving assembly. The movable assembly is configured to be connected to an optical element. The movable assembly is movable relative to the fixed assembly. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly in a range of motion. The optical element driving mechanism further includes a positioning assembly configured to position the movable assembly at a predetermined position relative to the fixed assembly when the driving assembly is not operating.

Abstract: Some implementations described herein provide techniques and apparatuses for improving a uniformity of a flow of a gas across a semiconductor substrate in an etch tool. The etch tool includes an exhaust port located at a bottom center of a chamber of the etch tool. The etch tool further includes a flow-control subsystem that includes an impeller and a thermal component. As a result of the flow-control subsystem varying a rotational velocity of the impeller, and/or an amount of heat transferred from the thermal component, the uniformity of the flow of the gas across the semiconductor substrate may be improved. In this way, a uniformity of an etching rate may be increased and contamination defects due to a clustering of particulates may be decreased, resulting in an increase in a yield of semiconductor product fabricated using the etch tool.

Abstract: A TCAM comprises a plurality of first search lines, a plurality of second search lines, a plurality of memory cell strings and one or more current sensing units. The memory cell strings comprise a plurality of memory cells. Each of the memory cells is coupled to one of the first search lines and one of the second search lines. The current sensing units, coupled to the memory cell strings. In a search operation, a determination that whether any of the data stored in the memory cell strings matches a data string to be searched is made according to whether the one or more current sensing units detect current from the memory cell strings, or according to the magnitude of the current flowing out from the memory cell strings detected by the one or more current sensing units.

Abstract: Disclosed is a 3D architecture of ternary content-addressable memory (TCAM), comprising a first transistor layer, a second transistor layer, a third transistor layer and a fourth transistor layer. The first transistor layer and the second transistor layer are disposed on a first plane. The third transistor layer and the fourth transistor layer are respectively stacked on the first transistor layer and the second transistor layer in a second direction perpendicular to the first plane. Two of the first transistor layer, the second transistor layer, the third transistor layer and the fourth transistor layer are a first transistor and a second transistor of a first memory cell of the TCAM. The other two of the first transistor layer, the second transistor layer, the third transistor layer and the fourth transistor layer are a first transistor and a second transistor of a second memory cell of the TCAM.

Abstract: A TCAM comprises a plurality of first search lines, a plurality of second search lines, a plurality of memory cell strings and one or more current sensing units. The memory cell strings comprise a plurality of memory cells. Each of the memory cells is coupled to one of the first search lines and one of the second search lines. The current sensing units, coupled to the memory cell strings. In a search operation, a determination that whether any of the data stored in the memory cell strings matches a data string to be searched is made according to whether the one or more current sensing units detect current from the memory cell strings, or according to the magnitude of the current flowing out from the memory cell strings detected by the one or more current sensing units.

Abstract: Disclosed is a 3D architecture of ternary content-addressable memory (TCAM), comprising a first transistor layer, a second transistor layer, a third transistor layer and a fourth transistor layer. The first transistor layer and the second transistor layer are disposed on a first plane. The third transistor layer and the fourth transistor layer are respectively stacked on the first transistor layer and the second transistor layer in a second direction perpendicular to the first plane. Two of the first transistor layer, the second transistor layer, the third transistor layer and the fourth transistor layer are a first transistor and a second transistor of a first memory cell of the TCAM. The other two of the first transistor layer, the second transistor layer, the third transistor layer and the fourth transistor layer are a first transistor and a second transistor of a second memory cell of the TCAM.

Abstract: A smart adjustment system is provided, which may include a cloud computing device and a data acquisition device. The cloud computing device may include a neural network model saving the model data of machine tools, and the estimated increase percentages of each machine tool in different cutting parameters. The data acquisition device may receive the model data of a target machine tool. The could computing device may compare the model data of the target machine tool with the model data of the machine tools via the neural network model in order to calculate an estimated cutting parameter with an estimated increase percentage and control the target machine tool to perform a machining process by the estimated cutting parameter.

Abstract: A portable machine health monitoring system, applied for diagnosing a machine in operation, includes an installation device and a portable monitoring box. The installation device includes a plurality of sensing assemblies and a plurality of connecting assemblies. Each of the plurality of sensing assemblies is connected with the corresponding connecting assembly. Each of the plurality of connecting assemblies mounts the corresponding sensing assembly in a non-destructive manner onto a detected position on the machine. Each of the plurality of sensing assemblies is used for detecting a motion signal at the corresponding detected position on the machine in operation. The portable monitoring box, connected with the installation device, includes an analysis module for receiving the motion signal and further for calculating a health status information according to the detected motion signal.

Abstract: A device in a data processing system for training machine learning models receives a transaction and forwards it to at least one of a plurality of integrated control action models that use outputs of one model as inputs to other models. The models are machine learning models jointly trained for taking each control action of a plurality of control actions on the transaction to maximize an objective function based on probabilities of the control actions matching corresponding target control actions. The machine learning models include a risk model that outputs risk prediction information for a first control action that indicates whether or not to initiate processing of the transaction. The device further receives the risk prediction information from the risk model, and executes at least the first control action based on the risk prediction information.

Abstract: A device in a data processing system for training machine learning models receives a transaction and forwards it to at least one of a plurality of integrated control action models that use outputs of one model as inputs to other models. The models are machine learning models jointly trained for taking each control action of a plurality of control actions on the transaction to maximize an objective function based on probabilities of the control actions matching corresponding target control actions. The machine learning models include a risk model that outputs risk prediction information for a first control action that indicates whether or not to initiate processing of the transaction. The device further receives the risk prediction information from the risk model, and executes at least the first control action based on the risk prediction information.

Abstract: A smart adjustment system is provided, which may include a cloud computing device and a data acquisition device. The cloud computing device may include a neural network model saving the model data of machine tools, and the estimated increase percentages of each machine tool in different cutting parameters. The data acquisition device may receive the model data of a target machine tool. The could computing device may compare the model data of the target machine tool with the model data of the machine tools via the neural network model in order to calculate an estimated cutting parameter with an estimated increase percentage and control the target machine tool to perform a machining process by the estimated cutting parameter.

Abstract: Disclosed are a method and apparatus for detecting the content of oleic acid by optical fiber, and manufacturing method of the apparatus. By the principle of Surface Plasmon Resonance (SPR), a metal layer in a sensing region excites an analyte of oleic acid to produce a plasmon resonance, and a physical property of the plasmon resonance such as a resonant wavelength is measured to define the concentration of oleic acid of the analyte, so that the present invention can measure the concentration of oleic acid accurately and quickly to reduce the time and cost of detecting the oleic acid effectively, so as to improve the efficiency of detecting the oleic acid.

Abstract: The present invention relates to an annular scanning device for optical tomography scanning and imaging system, which comprises a carrying base, a rotating member, a plurality of optical channel modules, and a driving module. The rotating member is disposed on the carrying base. The plurality of optical channel modules are disposed annularly on the rotating member and connected to the rotating member. When the driving module drives the rotating member to rotate, a plurality of optical channel assemblies of the plurality of optical channel modules move towards or away from the center of the rotating member for adjusting the distance between the plurality of optical channel assemblies and an object under test.

Abstract: Methods and systems for efficient retrieval of neighboring measurement values in order to enable fast execution of rule-based error correction are disclosed. In one aspect, a method for data normalization using multi-key sorting is disclosed. In some embodiments, the method includes receiving, by a data organization engine, a set of uncorrected data including corresponding neighboring data. In various embodiments, the data organization engine organizes the uncorrected data by construction of a directed acyclic graph (DAG), where the DAG includes a plurality of nodes. In some embodiments, the data organization engine may traverse the plurality of nodes to retrieve the corresponding neighboring data. Upon retrieval of the neighboring data, a rule-based correction engine may correct the uncorrected data utilizing the retrieved corresponding neighboring data.

Abstract: The present invention relates to an annular scanning device for optical tomography scanning and imaging system, which comprises a carrying base, a rotating member, a plurality of optical channel modules, and a driving module. The rotating member is disposed on the carrying base. The plurality of optical channel modules are disposed annularly on the rotating member and connected to the rotating member. When the driving module drives the rotating member to rotate, a plurality of optical channel assemblies of the plurality of optical channel modules move towards or away from the center of the rotating member for adjusting the distance between the plurality of optical channel assemblies and an object under test.

Abstract: Methods and systems for efficient retrieval of neighboring measurement values in order to enable fast execution of rule-based error correction are disclosed. In one aspect, a method for data normalization using multi-key sorting is disclosed. In some embodiments, the method includes receiving, by a data organization engine, a set of uncorrected data including corresponding neighboring data. In various embodiments, the data organization engine organizes the uncorrected data by construction of a directed acyclic graph (DAG), where the DAG includes a plurality of nodes. In some embodiments, the data organization engine may traverse the plurality of nodes to retrieve the corresponding neighboring data. Upon retrieval of the neighboring data, a rule-based correction engine may correct the uncorrected data utilizing the retrieved corresponding neighboring data.