Abstract: The acquisition means acquires reader information and content information. The prompt generation means generates a prompt based on the reader information and the content information. The content editing means inputs the prompt into a large language model and acquire an output from the large language model as edited content.

Abstract: High-quality content generated with use of machine-learned generative model is presented to a user. An information processing apparatus includes: a first generating section for causing a first generative model to generate first content; a second generating section for using the first content to cause a second generative model to generate second content; and a presenting section for presenting the second content to a user. This information processing apparatus even makes it possible to optimize the second content to be presented to a user.

Abstract: A traffic control apparatus (102) includes an estimation unit (103) that estimates an emission amount of a vehicle at a target point, and a traffic control unit (104) that executes processing for controlling a traffic volume of a vehicle passing through a target point by use of the estimated emission amount.

Abstract: Disclosed are twin-based systems and methods for predicting solar power generation and optimizing power generation and distribution processes. Employed are a digital twin model of a solar power plant, which includes detailed representations of various components, such as solar panels, inverters, and transformers, as well as real-time weather data and historical data. This advantageously allows for accurate simulations of plant performance under various weather conditions and operational scenarios. Our systems and methods Incorporate novel machine learning algorithms that are trained on historical and real-time data from the digital twin model, weather data, solar power generation data, and other relevant factors.

Abstract: To determine, with high accuracy, a label to be given to an object even in a case where only a single prediction model exists, an information processing apparatus (1) includes: an acquisition unit (11) that acquires a set of objects; an evaluation unit (12) that evaluates a degree of similarity between objects included in the set of objects and identifies one or a plurality of similar objects which are similar to a prediction target object; and a prediction unit (13) that determines a label to be given to the prediction target object with reference to a similar label(s), the similar label(s) being a label(s) which is/are given to each of the one or a plurality of similar objects and which has/have been predicted by a prediction model.

Abstract: A superconducting quantum circuit apparatus includes: a coupler; a plurality of coupling ports; a plurality of qubits coupled to the coupler via the plurality of coupling ports, respectively; and a reserve port provided as a spare coupling port to be coupled to the coupler, separately from the plurality of coupling ports.

Abstract: Provided is a point cloud processing system including: a sensing information acquisition means for acquiring sensing information including a sensing point cloud generated by a sensing means, which is mounted on a moving body traveling on any one of a plurality of travel tracks extending in parallel to one another, for sensing an area ahead in a heading direction of the moving body, and track identification information identifying a travel track on which the moving body travels while performing sensing; and a first registration means for registering the sensing point cloud with respect to a travel track point cloud associated with the travel track on which the moving body travels while performing sensing, among a travel environment point cloud being a known point cloud of a travel environment including the plurality of travel tracks.

Abstract: Disclosed are systems, methods, and structures that provide more accurate temperature measurements and/or derived measurements using distributed fiber optic sensing (DFOS) systems and methods. DFOS systems and methods according to aspects of the present disclosure employ distributed fiber optic sensing that determines real-time temperature changes and vehicle trajectories from two-dimensional (2D) DFOS data with very few labeled data. The 2D data is first divided into multiple grids and then pre-processed with image distortion methods to enrich diversity of temperature change patterns. The transformed grids are used to pre-train a masked autoencoder, which advantageously does not require labels. The encoder of the autoencoder learns intrinsic features of temperature and traffic patterns, which are later connected to an estimation network to solve downstream tasks trained on a small set of labeled data.

Abstract: An information processing apparatus includes: a gate data acquisition unit that acquires product identification information and basket identification information that have been read by a gate sensor; a storage control unit that controls the basket identification information and the product identification information that have been read together by the gate sensor to be stored in a storage device in association with each other; a work table data acquisition unit that acquires product identification information and basket identification information that have been read by a work table sensor; and a purchased product determination unit that determines whether the product to be identified by the product identification information that has been read by the work table sensor is the product to be purchased, based on the basket identification information that has been read by the work table sensor and information stored in the storage device.

Abstract: An information processing device includes an authenticated memory encryption engine configured to perform a cryptographic process and an authentication process using an authentication tree for data, and perform an authentication process for tags of respective nodes present on a path from a leaf node to which the data is assigned to a root node, in which the authenticated memory encryption engine is further configured to: update, when any of nodes in the authentication tree is to be deleted, a counter value assigned to a parent node of the node to be deleted based on a counter value assigned to the node to be deleted; and set, when a new node is to be added at a position where the deleted node was originally located in the authentication tree, a counter value assigned to the added node based on a counter value assigned to a parent node of the added node.

Abstract: A relay apparatus includes: a reception part recording a reception time of the data packet at the relay apparatus in the data packet; a packet buffer part storing the data packet; an upstream-side communication time calculation part calculating an upstream-side communication time by subtracting a transmission time at the transmission apparatus from the reception time at the relay apparatus; a downstream-side communication time calculation part calculating a downstream-side communication time based on a downstream-side communication time function and a capacity value; a timer part counting a retention time of the data packet; a deadline management part calculating a deadline of the data packet based on the upstream-side communication time, the downstream-side communication time, and the retention time; and a transmission part transmitting with a highest priority a data packet corresponding to a minimum value of a deadline among data packets stored.

Abstract: To suppress deterioration in accuracy of prediction of a communication throughput. A video image distribution apparatus includes: a pixel shifting unit for changing pixel values of pixels in a captured video image when a volume of data after encoding the captured video image is small; an encoding unit for encoding the captured video image; a transmission unit for transmitting the encoded captured video image; and a prediction unit for predicting a communication throughput using an effective throughput of transmission of the captured video image.

Abstract: The present document proposes enablers for multiple user identities per UE. It defines user identity profiles for the users sharing the same UE and it allows for these user identity profiles to be provisioned in the UE's subscription information. The proposal enables multi user UEs to register at the same time for one or more users that are sharing the UE with optional extra user-specific authentication and authorisation. When registered, such a multi user UE can initiate per user PDU Session establishment and also can be paged for per user (one or more users) mobile terminated services.

Abstract: A reception control device that includes a first processing circuit that includes a switching circuit including a switch connected to light receiving elements, a selection switch arranged for each group to which the light receiving elements are allocated, and a changeover switch that switches an output destination of the selection switch for each group, and an amplifier circuit including amplifiers connected to an output of the switching circuit, a selector that is connected to an output of the first processing circuit, second processing circuits that is arranged downstream of the selector and decodes a signal allocated via the selector, and a control circuit that controls the switching circuit to allocate a signal from the light receiving elements to one of the amplifiers, and controls the selector to allocate the signal amplified by the amplifier circuit to one of the second processing circuits.

Abstract: A model training apparatus acquires a first training data set including a first training image representing a scene in a first environment and first class information indicating a class of each of a plurality of image regions included in the first training image. The model training apparatus inputs the first training image to an image conversion model to acquire an output image representing a scene in a second environment, inputs the output image to a discrimination model to acquire discrimination data, and trains the image conversion model using the discrimination data and the first class information. The discrimination data indicates, for each of a plurality of partial regions included in an image input to the discrimination model, whether or not the partial region is a fake image region, and indicates a class of the partial region when the partial region is not a fake image.

Abstract: An information processing device includes an authenticated memory encryption engine configured to perform a cryptographic process and an authentication process using an authentication tree for data to be exchanged between a data cache and a memory, and perform an authentication process for at least one tag respectively generated in at least one node present on a path from a leaf node to which the data is assigned to a root node, in which a counter assigned to each node in the authentication tree is formed of a major counter and a minor counter, the major counter is shared by a plurality of nodes having a common parent node, and the authenticated memory encryption engine is further configured to be able to wait for a process for updating a value of the major counter which occurs as a result of a process for updating a value of the minor counter.

Abstract: A learning device acquires history information about a proposal which has been implemented in a negotiation, acquires an evaluation value for a proposal from a negotiation counterpart, and learns a determination method for an own proposal to the negotiation counterpart, based on the history information and the evaluation value.

Abstract: Provided is an evaluation apparatus that narrows down a cause of a case where performance of a language processing model is not satisfactory. An evaluation apparatus includes: an acquisition section for acquiring embeddings for natural language sentences that are respectively included in a plurality of training data pieces, the embeddings having been generated with use of an embedding layer included in a language processing model; a clustering section for carrying out clustering of the embeddings; a calculation section for calculating, with reference to labels included in the respective plurality of training data pieces, an evaluation index indicating an evaluation of a result of the clustering; and an evaluation section for evaluating quality of the embedding layer based on the evaluation index. Thus, it is possible to optimize performance of a language processing model which has been subjected to machine learning.

Abstract: A system includes a distribution control server and a management server. The distribution control server controls data accumulation to make data related to a service that is provided to a user from a data accumulator a target for data distribution. The distribution control server controls data sharing for a data sharing destination to acquire the accumulated data. The distribution control server controls data providing for a data providing destination to acquire the accumulated data. The management server charges an accumulation platform usage fee related to the data accumulation to the data accumulator. The management server charges a sharing platform usage fee related to data sharing to the data sharing destination. The management server charges a providing platform usage fee related to data providing to the data providing destination.

Abstract: An exercise assisting apparatus 1 includes: a division unit 312 configured to divide sample motion information 3231 indicating motions of a sample person doing exercise into a plurality of pieces of motion element information 3235, according to regularity of the motions of the sample person; and a generation unit 314 configured to generate an inference model by causing a pre-trained model 322 to learn time-series antecedent dependency of the plurality of pieces of motion element information, the inference model inferring motions of a target person, based on target motion information 3211 indicating the motions of the target person doing exercise.