Abstract: A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including classifying time-series frames into a plurality of clusters by executing clustering on the time-series frames based on feature amounts of the time-series frames, the time-series frames being included in a moving image belonging to a class of a real moving image or a class of a fake moving image, extracting a concept from each of the plurality of clusters, determining whether the concept extracted from the plurality of clusters is a concept specific to the class or a concept specific to the cluster, setting a weight to the plurality of clusters based on the determination result, and training a model for estimating a class of a target moving image based on a frame selected based on weights set for the plurality of clusters.

Abstract: A non-transitory computer-readable recording medium stores therein an information output program that causes a computer to execute a process. The process includes specifying, for each of a plurality of pieces of graph data corresponding to at least one label corresponding to a prediction result of a trained graph machine training model, one or more nodes whose contribution degree to the prediction result of the graph data satisfies a predetermined condition, specifying a frequent graph pattern from partial graph data including the specified nodes in each of one or more groups obtained by classifying the specified nodes, and outputting information indicating the specified frequent graph pattern as explanatory information regarding the trained graph machine training model.

Abstract: An information processing apparatus a processor that executes a procedure. The procedure includes: converting table data in which a plurality of elements is represented in a table format into data in a format in which each of the plurality of elements is distinguishable as a header or a value; and inputting the converted data to a large language model to cause the large language model to execute inference processing on the converted data.

Abstract: A lesion identification apparatus obtains, for each image block included in a tomographic image, a first probability that the image block is a region of a specific lesion, by inputting the tomographic image into a machine learning model configured to identify, in units of image blocks obtained by dividing an input tomographic image into a fixed size, whether each image block is a region of the specific lesion, generates, based on the obtained first probabilities, probability data including a second probability assigned to each pixel included in the tomographic image, and identify, for each pixel of the tomographic image, whether the pixel is a region of the specific lesion, by inputting the tomographic image and the probability data into a machine learning model configured to identify, in units of pixels included in the input tomographic image, whether each pixel is a region of the specific lesion.

Abstract: According to an aspect of an embodiment, a method includes obtaining first real-time observational data corresponding to current weather conditions in or near a specified location. The first real-time observational data is obtained based on the first real-time observational data corresponding to surface observations in, on or near the specified location. A virtual weather surveillance image (WSR) image of the specified location is generated using an artificial intelligence (AI) radar image generation model and based on the first real-time observational data. The method can further include generating one or more climate profiles for the specified location based on the virtual WSR image, the first real-time observational data, and one or more contemporaneous satellite images of the specified location.

Abstract: A non-transitory computer-readable storage medium storing a quantum chemical computing program that causes at least one computer to execute a process, the process includes generating a plurality of molecular orbital pairs that indicates a plurality of patterns of combination of two molecular orbitals, based on a plurality of molecular orbitals for a molecule subject to quantum chemical computations; computing, for each of the plurality of molecular orbital pairs, an overlap integral value between included molecular orbitals; and determining first molecular orbitals to be included in an active space orbital group in the quantum chemical computations, based on the overlap integral value of each of the plurality of molecular orbital pairs.

Abstract: A method may include receiving a specification dataset and a source dataset and providing, for each of multiple fields in the datasets to a LLM. The method may also include prompting the LLM to analyze field names and metadata to generate and provide semantic information including data descriptions corresponding to data in fields of the specification dataset and data descriptions corresponding to data in fields of the source dataset and providing the semantic information to an interface. The method may further include updating the semantic information by directly updating the semantic information based on the user input and/or prompting the LLM to update the semantic information based on the user input and prompting the LLM, based on the semantic information and user input received, to generate steps and step descriptions for converting portions of the source dataset to converted data having a structure and a format of the specification dataset.

Abstract: A non-transitory computer-readable recording medium has stored therein an information processing program that causes a computer to execute a process including acquiring video having a scan area of a self-checkout terminal for scanning a barcode of a product analyzing the acquired video to detect an action of a user holding a plurality of products in the scan area of the self-checkout terminal setting either the self-checkout terminal or a management terminal that monitors the self-checkout terminal as a terminal to be notified based on an analysis result of a type of an overlapping state of the plurality of products when the action of the user holding the plurality of products is detected generating alert image information corresponding to the type of the overlapping state of the plurality of products and causing the generated alert image information to be displayed on a display screen of the terminal set as a notification destination.

Abstract: An ultrasonic measurement apparatus includes a conveyor that conveys a frozen fish from one side to another side, a first measurer provided on the another side of the conveyor, the first measurer contacting the frozen fish conveyed by the conveyor to perform ultrasonic measurement on the frozen fish, a support member that supports the frozen fish contacted by the first measurer, and a heater provided in the first measurement, the heater increasing a surface temperature of the frozen fish.

Abstract: An apparatus for feeding back channel state information includes: a receiver configured to receive a reporting configuration from a network device, wherein the reporting configuration comprises codebook indication information and feedback configuration information; processor circuitry configured to measure a channel state information reference signal to obtain channel state information, and process the channel state information according to the codebook indication information and the feedback configuration information to obtain a first channel state information; and a transmitter configured to feed back the first channel state information to the network device.

Abstract: An information processing apparatus instructs a quantum computer to execute a quantum circuit in which, among first qubits having a predetermined attribute included in a plurality of qubits, a predetermined number of first qubits are in a state |1 before a gate operation specified by a first subcircuit. The information processing apparatus acquires, from the quantum computer, a measurement result indicating the state of each qubit after gate operations specified by the quantum circuit. The information processing apparatus calculates, based on the states of the first qubits indicated by the measurement result, the number of first qubits that are in the state |1 after the gate operation specified by the first subcircuit. Then, the information processing apparatus discards the measurement result, if the number of first qubits that are in the state |1 after the gate operation specified by the first subcircuit is different from the predetermined number.

Abstract: A method for synthetic data generation, the method comprising: accepting input of a target geographic region; acquiring aggregated demographic data for the target geographic region; generating a synthetic population based on the aggregated demographic data using iterative proportional fitting; acquiring infrastructure information for the target geographic region; assigning the synthetic population to a plurality of households using the infrastructure information, thereby forming synthetic population data; outputting the synthetic population data for further use.

Abstract: In an embodiment, operations include receiving a graph representative of a domain. The operations further include extracting first sub-graphs from the graph and reducing each first sub-graph to obtain a set of reduced sub-graphs. The operations further include executing a set of operations comprising: determining a closest reduced sub-graph, from the set of reduced sub-graphs, corresponding to each first sub-graph; determining coverage metrics based on the extracted first sub-graphs and the closest reduced sub-graph corresponding to each first sub-graph; determining whether the coverage metrics satisfy coverage conditions; and re-iterating reduction of the extracted first sub-graphs if the coverage metrics do not satisfy the coverage conditions.

Abstract: An information processing device configured to perform processing, the processing including: determining a division granularity when a linear programming problem is divided into a plurality of partial problems on the basis of an allowable time needed to solve the linear programming problem to be solved; creating an objective function of each of partial problems divided from the linear programming problem on the basis of the determined division granularity from an objective function of the linear programming problem; creating a constraint expression of each of the partial problems on the basis of a constraint expression group of the linear programming problem and past allocation result data regarding a variable included in the linear programming problem; and obtaining a solution for the linear programming problem by sequentially solving each of the partial problems on the basis of the objective function and the constraint expression created for each of the partial problems.

Abstract: An information processing program causes a computer to execute a process including: specifying, from an image that is captured by a camera, a person and a plurality of objects, generating, by inputting the image of the person into a machine learning model, skeleton information on the person, identifying, based on the plurality of objects and the skeleton information, a first feature value associated with one or more first motions of the person who retrieves an object from among the plurality of objects, identifying a second feature value associated with one or more objects registered to a first terminal by the person from among the plurality of object, and generating, based on a difference between the first feature value and the second feature value, an alert indicates that an object retrieved by the person is not registered in the first terminal.

Abstract: A method may include obtaining a first and a second copy of a quantum state in which the first and second copies of the quantum state represent a convex optimization problem. The first and second copies of the quantum state may include respective index quantum registers that each hold indices and respective mixing state quantum registers that each hold quantum mixing states. The method may include amplifying and measuring an amplitude of the index quantum register associated with the first copy of the quantum state in which the measured amplified amplitude corresponds to a particular index. The method may include determining a final quantum mixing state corresponding to the mixing state quantum register of the second copy of the quantum state based on the measured amplified amplitude and the particular index. The method may include determining a solution to the convex optimization problem based on the final quantum mixing state.

Abstract: According to an aspect of an embodiment, a method includes obtaining first real-time observational data corresponding to current weather conditions in or near a specified location. The first real-time observational data is obtained based on the first real-time observational data corresponding to surface observations in, on or near the specified location. A virtual weather surveillance image (WSR) image of the specified location is generated using an artificial intelligence (AI) radar image generation model and based on the first real-time observational data. The method can further include generating one or more climate profiles for the specified location based on the virtual WSR image, the first real-time observational data, and one or more contemporaneous satellite images of the specified location.

Abstract: A method for 3D human-object interaction generation using neural language models is disclosed. The method includes receiving an input comprising an interaction location and a text prompt. A text-to-image generation model is applied on the text prompt. Initial differential parameters for a 3D parametric model representing the person in an interaction image are determined and a plurality of 2D views of the 3D environment is extracted. A sequence of prompts is prepared based on the plurality of 2D views and a neural language model is applied to the sequence of prompts. Loss function is initialized based on a set of body parts and a set of locations. The initial differential parameters are iteratively updated based on the loss function to obtain final differential parameters. The 3D parametric model is rendered in the 3D environment based on the final differential parameters.

Abstract: A method of packet distribution in a multi-tile processing system may include receiving, at a first tile of a multi-tile processing system, a first packet from a second tile of the multi-tile processing system. The first packet may include network congestion data indicating network congestion of one or more tiles of the multi-tile processing system in a network path between the first tile and the second tile. The method may further include selecting, by the first tile based on the network congestion data, a packet distribution method for sending a second packet from the first tile to the second tile.