Abstract: The present invention provides an electronic device, a communication method, and a computer readable storage medium. The electronic device may comprise a processing circuit. The processing circuit is configured to: obtain an index of the quality of the coordinated transmission implemented by the current coordination device, wherein the coordination device relays a part of data originating from a source device and to be transmitted to a destination device, to implement the coordinated transmission; depending on the relationship between the index and a first to third ranges which sequentially indicate the quality of transmission in descending order, generate a status report about the current coordination device; and transmit the generated status report to another electronic device.

Abstract: The present application relates to an electronic device and a method for wireless communication, and a computer-readable storage medium. The electronic device for wireless communication comprises a processing circuit, wherein the processing circuit is configured to determine, according to state information reported by a user equipment within a service range of the electronic device, whether the user equipment is to cooperate with other user equipments to train a segmented model obtained by segmenting a model to be trained, so as to participate in federated learning in a non-independent way, or to independently train the model to be trained, so as to independently participate in federated learning.

Abstract: Provided in the present disclosure are an electronic device and method for split learning, an electronic device and method for model splitting of a neural network model, and a computer readable storage medium. The electronic device for split learning comprises a processing circuit, configured to: according to the channel state of a sidelink-related link between users, determining one or more of the following: learning users participating in the split learning, the participation sequence of the learning users, and a communication link used for client model transmission between each learning user and a downstream learning user; and on the basis of the determination, generating split information for the learning users.

Abstract: The present invention relates to an electronic device and method for a wireless communication system, and a storage medium. A first electronic device for an integrated communication and sensing system, the first electronic device comprising a processing circuit, which is configured to indicate, to a second electronic device, control information related to the transmission of a communication signal and a sensing signal, such that the second electronic device can receive and/or process the communication signal and/or the sensing signal according to the control information.

Abstract: The present disclosure relates to a device and a method for spectrum management. There is provided an electronic device for spectrum management in a wireless communication system, the wireless communication system includes a plurality of general authorization systems, the electronic device includes a processing circuitry configured to: receive spectrum requests from two or more general authorization systems of the plurality of general authorization systems, wherein the spectrum requests from the two or more general authorization systems are in conflict; transmit an expected spectrum efficiency reporting instruction to the two or more general authorization systems; receive expected spectrum efficiency information from the two or more general authorization systems; and transmit an authorization response including a success indication to a first general authorization system of the two or more general authorization systems with higher expected spectrum efficiency.

Abstract: The present disclosure relates to an electronic device and a communication method. The electronic device comprises: processing circuitry configured to: acquire respective spectrum usage information of a plurality of wireless devices; and determine spectrum usage correlation among the plurality of wireless devices based on the respective spectrum usage information of the plurality of wireless devices, the spectrum usage correlation being used for allocating spectrum resources to the plurality of wireless devices.

Abstract: Provided are an electronic device, a wireless communication method and a computer-readable storage medium. The electronic device comprises a processing circuit configured to: receive first data and control information of the first data by means of a sidelink, the control information comprising indication information used for indicating the selection and use of a periodic feedback resource; determine a feedback resource for the first data on the basis of the control information of the first data; and send feedback information for the first data by using the determined feedback resource. According to at least one aspect of the embodiments of the present invention, in control information of data transmitted by means of a sidelink, dynamic indication information is added to indicate the selection and use of a periodic feedback resource, so that feedback information can be sent by using the periodic feedback resource in a relatively flexible manner.

Abstract: The present disclosure provides materials and methods for detecting the presence of a target, such as a nucleic acid, biomolecule or biological particle, or virus genome in a sample. The present disclosure further provides point of care detection methods that cane done quickly and simply, optionally without sophisticated instrumentation. The present disclosure further provides improved methods for detecting and quantifying detection signals from various emulsions.

Abstract: The present application relates to an electronic device and method for wireless communication, and a computer-readable storage medium. The electronic device for wireless communication comprises a processing circuit, wherein the processing circuit is configured to receive at least one sensing signal from a primary user by means of at least one equivalent channel, said channel being established between the electronic device and the primary user by means of at least one reconfigurable intelligent surface and corresponding to a direct channel between the primary user and the electronic device, so as to determine whether the primary user occupies a predetermined frequency band used by the direct channel and the at least one equivalent channel. (FIG.

Abstract: The present disclosure provides a system and method for image reconstruction. The method may include obtaining raw positron emission tomography (PET) data of a target object; determining a motion signal of the target object based on the raw PET data of the target object; extracting, based on the motion signal, target PET data from the raw PET data, the target PET data corresponding to a target motion signal, in the motion signal, in which motion change of the target object meets a predetermined change condition; and generating a reconstructed image of the target object by reconstructing the target PET data.

Abstract: Systems and methods for end-to-end pretraining of multimodal retrieval-augmented visual language models. In some examples, multimodal information may be encoded into key-value pairs and stored in a unified memory, which the model's retriever can access via multimodal query encodings in order to identify relevant information within multiple knowledge sources. The model may include an attentive fusion layer so that automatically-generated retrieval scores for multiple simultaneously-considered documents may b used in calculating attention scores, and gradients from the final task may be used to train the entire model (including the retriever) end-to-end and update the unified memory.

Abstract: A computer memory system includes an electro-optical chip, an electrical fanout chip electrically connected to an electrical interface of the electro-optical chip, and at least one dual in-line memory module (DIMM) slot electrically connected to the electrical fanout chip. A photonic interface of the electro-optical chip is optically connected to an optical link. The electro-optical chip includes at least one optical macro that converts outgoing electrical data signals into outgoing optical data signals for transmission through the optical link. The optical macro also converts incoming optical data signals from the optical link into incoming electrical data signals and transmits the incoming electrical data signals to the electrical fanout chip. The electrical fanout chip directs bi-directional electrical data communication between the electro-optical chip and a dynamic random access memory (DRAM) DIMM corresponding to the at least one DIMM slot.

Abstract: According to examples, a system for supplementing user perception and experience via augmented reality (AR), artificial intelligence (AI), and machine-learning (ML) techniques is described. The system may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive data associated with at least one of a location, context, or setting and determine, using at least one artificial intelligence (AI) model and at least one machine learning (ML) model, relationships between objects in the at least one of the location, context, or setting. The processor, when executing the instructions, may then apply an artificial intelligence (AI) agent to analyze the relationships and generate a three-dimensional (3D) mapping of the at least one of the location, context, or setting and provide an output to aid a user's perception and experience.

Abstract: A processing circuit is configured to: receive an authorization response message from a spectrum access system (SAS), the authorization response message has information of one or more protective points; determine an interference power of the electronic device to a first protection point in the one or more protection points at a first frequency at which the first protection point operates, based at least on transmission parameters of the electronic device, a location of the first protective point and the first frequency; and record interference information and an interference threshold requirement of the first protective point to a blockchain network, wherein the interference information comprises the interference power of the electronic device to the first protective point, to be used by the blockchain network to control aggregated interference of one or more secondary users to the first protective point.

Abstract: The present disclosure relates to management and distribution of an artificial intelligence models. There is provided a method performed by a network device, comprising: determining an artificial intelligence model for a user equipment, i.e. UE, from a plurality of artificial intelligence models for beam prediction based on a beam measurement result reported by the UE; and sending, to the UE, indication information associated with the determined artificial intelligence model.

Abstract: Processing circuitry is configured to: determine at least one first positional relationship between the transmitting electronic device and at least one other transmitting electronic device located within a predetermined range of the transmitting electronic device, and a second positional relationship between the transmitting electronic device and the receiving electronic device; receive information regarding a candidate resource set corresponding to the receiving electronic device as assistance information, wherein the candidate resource set is a set consisting of time-frequency resource blocks that can be used by the receiving electronic device to receive data; and on the basis of the at least one first positional relationship, the second positional relationship, and the assistance information, select at least one time-frequency resource block for transmitting data from a resource pool so as to form a final available resource set.

Abstract: Disclosed are a display apparatus and a method. The method includes: receiving an install command for installing a target third party application in the display apparatus from a user; in response to the install command for installing the target third party application, storing application data of the target third application in a first storage space in a memory in the display apparatus; receiving a display command for displaying an icon of the target third party application on a second application display page; in response to the display command, moving the application data of the target party application from the first storage space to a second storage space in the memory and display the icon of the target third party application on the second application display page.

Abstract: The present disclosure relates to an electronic device, a method and a storage medium for model inference. Embodiments for AI/ML model inference are described. In an embodiment, the electronic device comprises a processing circuit configured to: form split information for at least a first part of the AI/ML model based on respective state information of the first terminal device and one or more other terminal devices, the split information specifying that split model inference is to be performed by a plurality of participant devices on a plurality of subparts of at least the first part of the AI/ML model; and based on the split information, cause a wireless network to allocate to at least one of the plurality of participant devices resources for transmitting model inference information.

Abstract: Provided in the present disclosure are an electronic device and method for wireless communication, and a computer-readable storage medium. The electronic device comprises: a processing circuit, which is configured to determine, at least on the basis of the processing capabilities of wireless communication terminals within the coverage range of a wireless transceiving node and a wireless communication environment, wireless communication terminals which are about to participate in federated reinforcement learning; and acquire respective local learning models from wireless communication terminals which participate in federated reinforcement learning, and obtain an updated global model on the basis of the local learning models.