Abstract: According to one aspect of the present disclosure, a peripheral circuit is provided. The peripheral circuit may include a DQ circuit comprising a plurality of decision feedback equalization (DFE) components. The peripheral circuit may include a resistor offset calibration (RXOC) circuit. The RXOC circuit may include an oscillator. The oscillator may generate an internal clock source. The RXOC circuit may include a DQ-selection component. The DQ-selection component may select a DFE component of the plurality of DFE components for calibration. The DQ-selection component may output a slicer result signal indicating an offset value received from the DFE component. The RXOC circuit may include control logic. The control logic may send a calibration signal associated with the DFE component to the DQ circuit based on the slicer result signal.

Abstract: The present disclosure provides a register configuration system, method, and electronic device. The register configuration system includes a display processing unit, memory, and a hardware automatic control unit. The display processing unit includes multiple registers. The memory includes at least one pre-stored configuration instruction, wherein the configuration instruction is configured to indicate target registers that need to be configured in the display processing unit. The hardware automatic control unit is connected to a register configuration interface of the display processing unit. The hardware automatic control unit is configured to receive a startup command and, based on the startup command, retrieve and parse the configuration instructions from the memory. After parsing the configuration instructions, the hardware automatic control unit configures the target registers in the display processing unit. The startup command includes the storage address of the configuration instructions.

Abstract: A memory device includes a memory cell array having stacked first and second memory decks; and a peripheral circuit coupled to the memory cell array and configured to: when performing a program operation on a selected memory cell layer in the first memory deck, apply a voltage to a word line layer corresponding to the selected memory cell layer and apply a first voltage to a word line layer corresponding to an unselected memory cell layer in the first memory deck; apply a second voltage to the word line layer corresponding to the plurality of memory cell layers in the second memory deck; and apply a third voltage to the dummy word line layer corresponding to the at least one dummy memory cell layer at the junction position of the first memory deck and the second memory deck. The first voltage exceeds the second voltage, which exceeds the third voltage.

Abstract: A backlight module includes first and second light guide plates, an anti-peeping film, and first and second light sources. The anti-peeping film is located on a first light exit surface of the first light guide plates. The second light guide plate is located on a side of the anti-peeping film away from the first light guide plate. The first light source is opposite a first light incident surface of the first light guide plate. The second light source includes a first portion extending along the direction perpendicular to the reference plane and opposite a second light incident surface of the second light guide plate. A side of the first light source proximate to the fist light guide plate is staggered from a side of the second light source proximate to the second light guide plate, and closer to center of the first light guide plate than the second light source.

Abstract: This application is directed to data validation in an electronic device having a memory device. The memory device receives an inquiry for a validity condition of a page of the memory device from a memory controller that is coupled to the memory device in a memory system. In response to the inquiry, the memory device selects a subset of the page of the memory device to represent the page. The subset of the page stores a set of memory data. The memory device obtains integrity data corresponding to the set of memory data, applies a plurality of validation operations on the set of memory data and the integrity data corresponding to the set of memory data to generate a plurality of validity results. The memory device determines an error parameter of the page locally based on the plurality of validity results and provides the error parameter to the memory controller.

Abstract: An optical device including a waveguide, electrodes, and a connecting dielectric is described. The waveguide includes an electro-optic material having a waveguide optical refractive index and a waveguide microwave dielectric constant. The electrodes include a first electrode and a second electrode. The waveguide is between the first electrode and the second electrode. At least a portion of the connecting dielectric is between the waveguide and electrodes. The connecting dielectric has a microwave dielectric constant greater than the waveguide microwave dielectric constant.

Abstract: In certain examples, a causal inference model is trained on a re-balancing task in a self-supervised manner, using ‘unlabelled’ training data pertaining to multiple domains. Rather than approaching casual inference as a domain-specific task (e.g., designing one causal-inference approach for a particular manufacturing application, another for a particular aerospace application, another for a specific medical application etc.,) a general-purpose causal inference mechanism is learned from a large, diverse training set that contains many treatments dataset over many field/applications (e.g., combining manufacturing data, engineering data, medical data etc. in a single dataset used to train a single neural network). In other words, a cross-domain causal inference model is trained, which can then be applied to a dataset in any domain, including domains that were not explicitly encountered by the neural network during training.

Abstract: An array substrate, a method for manufacturing an array substrate, a liquid crystal cell and a display apparatus are provided. The array substrate includes: a first base substrate; thin film transistors; a first planarization layer; a common electrode on a side of the first planarization layer away from the thin film transistors; a first dielectric layer on a side of the common electrode away from the first planarization layer; first pixel electrodes on a side of the first dielectric layer away from the common electrode; the first pixel electrodes are electrically connected to the thin film transistors in a one-to-one correspondence through first vias extending through the first dielectric layer and the first planarization layer; a surface of each first pixel electrode away from the first base substrate is provided with a first groove at least corresponding to a corresponding first via.

Abstract: A multimodal data generation method is provided. The method includes: inputting a query data sequence into a multimodal model, to obtain a plurality of tokens in a response data sequence, where a current token is generated through the following operations: inputting the query data sequence and a current response data sequence into the multimodal model, so that the multimodal model generates the current token based on the query data sequence and the current response data sequence, in response to determining that the current token belongs to a first data modality; or inputting the query data sequence and a current response data sequence into the multimodal model, so that the multimodal model denoises an initial token sequence based on the query data sequence and the current response data sequence, to generate a result token sequence, in response to determining that the current token belongs to a second data modality.

Abstract: The present disclosure provides a projection device, including: a housing, a light source component, and a projection lens; an accommodating space is formed inside the projection device; the projection device further includes a second mirror, a second fan and a lens component in the accommodating space; the second mirror is arranged on a light outgoing side of the light source component and is configured to reflect light emitted from the light source component into the lens component, and the lens component is configured to collimate light; the accommodating space includes an air flowing space including a first subspace and a second subspace; the first subspace is defined by the light source component, the second mirror, the lens component and a part of the housing, and the second subspace is around the first subspace; the second fan is configured to promote internal air within the air flowing space to circulate.

Abstract: Disclosed is a brain-on-a-chip intelligence complex control system comprising a basic module and an information interaction and training module. The latter integrates a neural signal decoding unit, reward and punishment control unit, task control model, and mapping relationship model. The neural signal decoding unit transforms neural response data into external device-recognizable control instructions. Employed for controlling the external device, the task control model creates a future target control instruction based on task feedback, retrieving the corresponding neural response. The mapping relationship model establishes connections between the brain-on-a-chip's stimulation sequence and neural responses. Calculating task completion, the reward and punishment control unit generates a reward or punishment signal based on task feedback, applying it to the brain-on-a-chip basic module. This innovative brain-on-a-chip intelligence complex enhances control and training capabilities through integrated modules.

Abstract: Hyper-Heisenberg scaling quantum imaging techniques that pass an idler photon of each entangled photon pair three times through an idler objective pair and pass a signal photon of each entangled photon pair at least once through a signal objective pair and use measurements of coincidence detection to yield a coincidence image with spatial resolution of about four times that of classical imaging.

Abstract: The invention provides a power supply module with high heat dissipation capability and high reliability. Aiming at the problem that when a power supply module and a system board are fixedly welded, internal welding spots are remelted due to high temperature, on one hand, the structure of the power supply module is further optimized, a device layer is formed in a device in the power supply module through plastic packaging or embedded, an insulating dielectric layer is arranged between the two adjacent device layers, and the device layer and the insulating medium are laminated into an assembly body; the metal interconnection layer is arranged on the surface of the assembly body, and electrical connection between devices in the power supply module is achieved; and no metal welding spot exists in the power supply module, and the assembly reliability of the power supply module and the system is improved.

Abstract: As an indexer indexes and groups events, it can generate data slices that include events. Based on a slice rollover policy, the indexer can add a particular slice to an aggregate slice. Based on an aggregate slice backup policy, the indexer can store a copy of the aggregate slice to a shared storage system. The aggregate slice can be used for restore purposes in the event the indexer fails or becomes unresponsive.

Abstract: A negative active material includes a porous structure having micropores, mesopores, and macropores, where a pore volume of the negative active material satisfies: 0.5%?V1/V2?2% and 30%?V2/(V2+V3)?50%, where V1 represents a pore volume of the micropores in the negative active material, V2 represents a pore volume of the mesopores in the negative active material, and V3 represents a pore volume of the macropores in the negative active material.

Abstract: The present disclosure describes techniques for implementing dialog-based music recommendations for input videos. A video is input into a machine learning model. The machine learning model comprises a first sub-model and a second sub-model. At least one music track is identified by the first sub-model based on the input video. A first set of sentences is generated by the second sub-model. The first set of sentences depicts the at least one music track and recommendation reasons in natural languages. The first set of sentences is caused to be displayed on a computing device associated with a user. In response to receiving input indicating that the user prefers music different from the at least one music track, at least one other music track is identified. A second set of sentences depicting the at least one other music track in natural languages is generated for display on the computing device.

Abstract: Embodiments are disclosed for a semiconductor structure. The semiconductor structure includes a first nanosheet layer. The first nanosheet layer includes a first channel region, and a heavily doped epitaxial region of a first type. Further, the semiconductor structure includes a second nanosheet layer. The second nanosheet layer includes a second channel region, a heavily doped epitaxial region of a second type disposed above the first nanosheet layer, and a first gate surrounding the first channel region and the second channel region. Additionally, the semiconductor structure includes a protection diode. The protection diode includes a source, a drain, and a second gate. The drain is connected to the first gate, and the second gate is connected to the source.

Abstract: Cached decoding systems and techniques are described. A system (e.g., decoder) receives an input token (e.g., input vector). The system applies a projection tensor (e.g., a projection matrix) to the input token to generate a feature tensor (e.g., a key tensor or a value tensor). The system processes at least the feature tensor and at least one previous feature tensor using at least one attention calculation to generate an output token. The at least one previous feature tensor is retrieved from a buffer. The at least one previous feature tensor can be stored in the buffer after having been previously calculated based on application of the projection tensor to a previous input token (e.g., from a previous iteration before the iteration in which the input token is received).

Abstract: The present application relates to a shift register, a scanning driving circuit and a displaying device. The shift register includes a first inputting circuit, a first outputting circuit, a second inputting circuit, a second outputting circuit and a second controlling circuit. The second controlling circuit is electrically connected to a first node, a second node, a fifth voltage terminal, a second clock-signal terminal and a controlling terminal. The second controlling circuit is configured for, under the control of the signal of the second node, the control of a second clock signal and the control of the signal of the controlling terminal, when the first outputting circuit is switched on, disconnecting the electric connection between the first node and the fifth voltage terminal, and when the second outputting circuit is switched on, writing the signal of the fifth voltage terminal into the first node.

Abstract: A task execution method for a large model relates to fields of artificial intelligence, deep learning and large model technologies, and includes executing attention tasks in a task group to be fused using a target computing unit to obtain attention features, where the attention task corresponds to a weighted matrix to be fused, the weighted matrix to be fused is obtained by weighting a matrix to be fused using a weight; obtaining a processing result according to the attention features; determining a loss information according to the processing result; and weighting and fusing matrices to be fused using the target computing unit according to weights for the task group to be fused if the loss information converges, to obtain a fusion matrix for a target task group, where a target task in the target task group is executed by the target computing unit according to the fusion matrix.