Abstract: The present disclosure provides a fusion training method for a risk control model, including: receiving label data, and refining expert knowledge; separately performing multi-order feature crossing on the label data and the expert knowledge, to obtain a data representation and a rule representation; purifying the data representation based on the rule representation; and training and outputting the risk control model based on the purified data representation.

Abstract: Methods and systems, including computer-readable media, are described for a tensor mapping unit for a hardware integrated circuit configured to accelerate tensor computations for a machine-learning model. The tensor mapping unit is configured to: i) generate tensor element positions for a tensor based on an instruction received from a processing engine of the integrated circuit; ii) determine that a first subset of the tensor element positions is assigned to a first compute tile of the integrated circuit; and iii) generate control signals to obtain a group of inputs from a tile memory of the first compute tile based on the first subset.

Abstract: Apparatus provide plasma to a processing volume of a chamber. The Apparatus may comprise a plurality of plasma sources, each with at least a dielectric tube inlet which is at least partially surrounded by a conductive tube which is configured to be connected to RF power to generate plasma and a gas inlet positioned opposite the dielectric tube inlet for a process gas and a dielectric tube directly connected to each of the plurality of plasma sources where the dielectric tube is configured to at least partially contain plasma generated by the plurality of plasma sources and to release radicals generated in the plasma via holes in the dielectric tube.

Abstract: Embodiments provided herein generally include apparatus, plasma processing systems and methods for tuning in a radio frequency (RF) plasma processing system for improving substrate processing metrics. Some embodiments are directed to a method for processing a substrate in a plasma processing system. The method generally includes: sensing, via one or more sensors, one or more intermodulation or harmonic components of a signal at a node coupled to a plasma chamber; and controlling one or more signal processing devices of the plasma processing system to process the substrate based on the one or more intermodulation or harmonic components and in accordance with a frequency domain configuration identified by analyzing one or more substrate processing metrics.

Abstract: A scanning module may include a main body holder having an accommodation cavity; a first optical assembly within the accommodation cavity and rotatably attached to the main body holder; a first drive assembly connected to the first optical assembly and the main body holder, respectively, and being configured to drive the first optical assembly to rotate relative to the main body holder; a second optical assembly rotatably disposed at one end of the main body holder; and a second drive assembly on a side of the second optical assembly facing the main body holder and connected to the second optical assembly and the main body holder, respectively, and configured to drive the second optical assembly to rotate relative to the main body holder.

Abstract: Techniques for generating manifests for image presentation during video presentation are described herein. In an example, a system generates an input to an artificial intelligence (AI) model on a set of frames of video content. The system receives, based on the input, an output of the AI model indicating a set of images corresponding to the set of frames that are to be presented during a scrubbing operation associated with a presentation of the video content. The output further indicates durations for individual images of the set of images. A first image of the set of images is to be presented for a first duration that is different from a second duration that a second image is to be presented. The system generates a manifest including the video content, an indication of the set of images, and the durations. The system stores the manifest in a storage location.

Abstract: An apparatus, system, and method for a waveguide system may be used to support eye tracking in a head mounted display (HMD). The waveguide system may be positioned in a user's field of view and within a lens assembly of the HMD to capture light that is reflected from an eye. The waveguide system may include a holographic optical element (HOE) configured to in-couple light into a waveguide and direct the light to an out-coupling grating. The HOE may be configured to map a number of incident light rays to a corresponding number of total internal reflection (TIR) angles. The incident light rays may include at least some oblique light rays that are non-normal to an input surface of the HOE. The HOE may have a field of view (FOV) of an eyebox region that is at least partially outside of a periphery of the input surface of the HOE.

Abstract: Embodiments of the present disclosure provide a system for fast impedance tuning. The system includes a radio frequency (RF) generator to generate power, a plasma chamber to receive the power from the RF generator and a RF matching network inserted between the RF generator and the plasma chamber configured to match a plasma load impedance to a RF generator impedance using a solid state based variable capacitor. The RF matching network includes a bias circuit that applies a reverse bias to the solid state based variable capacitor to control a capacitance value of the solid state based variable capacitor. The plasma load impedance is matched with the RF generator impedance when pulsed voltage, multi-level pulsing, or RF match ignition tuning is applied.

Abstract: The present invention discloses a hardware security system for prevent side channel attacks based on a variable radix. The system comprises a security chip and a fuzzy elliptic curve multiplication module. The security chip uses a PUF array to generate a digital fingerprint as the root key, stabilized by a dedicated module, while unstable bits serve as a true random number source. A top controller manages encryption and decryption operations. The key computation unit includes a variable radix processor that decomposes the private key into symbol-radix pairs for conversion into a variable-radix system. An operation sequence module translates the output into high-order-first elliptic curve instructions, leveraging the distributive property for optimization. A dummy insertion module ensures uniform execution time to resist timing analysis. The elliptic curve module performs point addition and multiplication accordingly, enhancing resistance against timing, power, and differential attacks.

Abstract: The present disclosure relates to the field of biomedicine, and specifically provides a 5?-phosphate modified nucleoside, and a preparation method and use thereof. The present disclosure provides a modified nucleoside compound, wherein the modified nucleoside compound is a compound represented by formula (I), a pharmaceutically acceptable salt thereof, or a stereoisomer thereof. The oligonucleotide comprising the modified nucleoside compound provided by the present disclosure exhibits significantly enhanced drug efficacy.

Abstract: In an example embodiment, a novel data structure called a “mind graph” is introduced, which defines all of the different possible combinations of tasks within a software project, as well as the potential flows among the tasks. This mind graph is then passed as input, along with a prompt generated by natural language input from a user, to an LLM. The LLM uses the mind graph and the prompt to generate an execution plan which defines which tasks from the mind graph will be generated and the path the flow takes though those tasks. This execution plan is then presented to the user in a graphical user interface that allows the user to edit the execution plan. The edited execution plan is then submitted to the LLM to generate the actual code for each of the tasks. This code is again presented to the user to accept, or modify, the code for each of these tasks.

Abstract: An apparatus in an illustrative embodiment comprises a processing platform that includes at least one processing device, the processing device comprising a processor coupled to a memory. The processing platform is configured to implement a machine learning based framework for at least one of simulation and analysis relating to multi-modal mobility, the machine learning based framework comprising a plurality of stages, including at least a population synthesis stage and a trip generation stage. The processing platform is further configured to execute a first machine learning model in the population synthesis stage, and to execute a second machine learning model in the trip generation stage, the second machine learning model being different than the first machine learning model. The first machine learning model illustratively comprises a traveler cluster classifier, and the second machine learning model illustratively comprises a mode-duration choice model.

Abstract: The present disclosure proposes a method, apparatus, and computer-readable medium for model checkpoint saving based on multi-tier storage. During a training of a machine learning model performed through a Graphics Processing Unit (GPU) in a target node, a checkpoint to be saved of the machine learning model may be identified from a GPU memory that directly exchanges data with the GPU. The checkpoint may be saved from the GPU memory to a central processing unit (CPU) memory that directly exchange data with a CPU in the target node. The checkpoint may be saved from the CPU memory to a non-transitory memory, the non-transitory memory including at least one of: a local non-transitory memory in the target node, a neighbor non-transitory memory in a neighbor node of the target node, and a remote non-transitory memory located remotely from the target node.

Abstract: Face anonymization techniques are described that overcome conventional challenges to generate an anonymized face. In one example, a digital object editing system is configured to generate an anonymized face based on a target face and a reference face. As part of this, the digital object editing system employs an encoder as part of machine learning to extract a target encoding of the target face image and a reference encoding of the reference face. The digital object editing system then generates a mixed encoding from the target and reference encodings. The mixed encoding is employed by a machine-learning model of the digital object editing system to generate a mixed face. An object replacement module is used by the digital object editing system to replace the target face in the target digital image with the mixed face.

Abstract: A mesoporous molecular sieve-based solid acid-base catalyst and a preparation method and use thereof in synthesis of an insulating oil for a transformer are provided. The preparation method of the mesoporous molecular sieve-based solid acid-base catalyst includes the following steps: synthesizing a hard template, preparing a catalyst skeleton, preparing a precursor, and preparing a solid acid-base catalyst.

Abstract: Disclosed are a method and an apparatus for manufacturing a photovoltaic module. The method for manufacturing a photovoltaic module includes: heating a glass to a preset temperature; and applying an encapsulation adhesive film on the glass heated to the preset temperature. According to the method for manufacturing a photovoltaic module of the present disclosure, the glass is heated to allow the encapsulation adhesive film to be preliminarily pre-crosslinked and effectively bonded to the glass, which can effectively prevent displacement of the adhesive film from the application position in the subsequent production process, and effectively guarantee a precise distance between the adhesive film and the sealant.

Abstract: Disclosed are a communication method and apparatus, which are applied to wireless local area network systems supporting IEEE 802.11 series protocols such as a next-generation Wi-Fi protocol of 802.11ax, for example, 802.11be, Wi-Fi 7, or EHT, a next generation of 802.11be, for example, 802.11bn or Wi-Fi 8, 802.11ay, and 802.11aj, and can also be applied to UWB-based wireless personal area network systems, sensing (sensing) systems, and the like. A first communication apparatus generates and sends a PPDU. A second communication apparatus receives and parses the PPDU. Pilot values carried on pilot subcarriers corresponding to a data field in the PPDU are determined based on a bandwidth of the PPDU and Nss groups of initial pilot values. At least two groups of initial pilot values in the Nss groups of initial pilot values are different. Each group of initial pilot values may include M initial pilot values.

Abstract: Methods and apparatus for processing a substrate are provided herein. For example, a method for processing a substrate includes applying at least one of low frequency RF power or DC power to an upper electrode formed from a high secondary electron emission coefficient material disposed adjacent to a process volume; generating a plasma comprising ions in the process volume; bombarding the upper electrode with the ions to cause the upper electrode to emit electrons and form an electron beam; and applying a bias power comprising at least one of low frequency RF power or high frequency RF power to a lower electrode disposed in the process volume to accelerate electrons of the electron beam toward the lower electrode.

Abstract: Provided are a duty cycle calibration circuit and method, a chip, and an electronic device. In the duty cycle calibration circuit, through a counting clock signal having a higher clock signal frequency than a calibration clock signal, a counting unit is configured to acquire a number of counting pulses generated in a high-level state and a low-level state of the calibration clock signal within a preset counting period, so as to obtain an actual duty cycle of the calibration clock signal. Compared with a method of acquiring a duty cycle of a calibration clock signal by comparing the calibration clock signal with a reference clock signal, inaccurate measurement of the duty cycle of the calibration clock signal after the reference clock signal is affected can be overcome. Therefore, accuracy of measurement of the duty cycle can be improved, and precision of calibration of the duty cycle can be improved accordingly.