Abstract: A non-transitory computer-readable recording medium stores a model generation program for causing a computer to execute a process including: acquiring results output from a first machine learning model in response to input of a first plurality of pieces of data to the first machine learning model; selecting a second plurality of pieces of data from the first plurality of pieces of data, based on the results; and generating a second machine learning model by executing machine learning of the first machine learning model, by using the second plurality of pieces of data as input, with some parameters being fixed among a plurality of parameters included in the first machine learning model.

Abstract: An information processing apparatus acquires video image data that includes target objects including a person and an object, and specifies, by using graph data that indicates a relationship between each of target objects stored in a storage unit, a relationship between each of the target objects included in the acquired video image data. The information processing apparatus specifies, by using a feature value of the person included in the acquired video image data, a behavior of the person included in the video image data. The information processing apparatus predicts, by inputting the specified behavior of the person and the specified relationship to a probability model, a future behavior or a future state of the person.

Abstract: A recording medium storing a program causing a computer to execute: acquiring, for each model, an attack result of an estimation attack, the acquiring for a respective model being performed by using the respective model and a plurality of data, each model being a model trained by using synthetic data that simulates training data, an amount of the synthetic data for each model being different from each other; specifying, based on the attack result for each model, specific data from among the plurality of data; performing the estimation attack by using the specific data for a specific model of which an amount of the synthetic data is between the amounts of the synthetic data used for any two models; and evaluating, based on an attack result for the specific data and the attack result for each model, a resistance to the estimation attack for the specific model.

Abstract: From plural observation features of a time series acquired by observing movements of a person, plural candidate segments are decided of a target action series containing plural respective actions expressing plural movements. Each of the plural candidate segments is divided into each action segment that is a time segment of the action, a likelihood corresponding to each of the plural actions computed for each of the action segments is normalized by action segment, and as an evaluation value a representative value is computed of normalized likelihood corresponding to each of the action segments selected from out of all of the respective action segments in the candidate segments based on an order of actions in the target action series. Being the target action series is determined in cases in which the evaluation value exceeds a common threshold.

Abstract: A non-transitory computer-readable recording medium stores therein an information notification program that causes a computer to execute a process including acquiring domain knowledge information including a work procedure of an operation to be monitored, analyzing video to be monitored and first identifying an image region of a person and an image region of an object to be worked by the person in the video, inputting a prompt composed of a feature of the identified image region of the person, a feature of the identified image region of the object, and the domain knowledge information to a large multi-modal model, and causing, when a work performed by the person in the video is not a behavior based on the work procedure of the operation, the large multi-modal model to generate information related to the work procedure, and notifying the generated information related to the work procedure.

Abstract: A non-transitory computer-readable recording medium stores a generation program that causes a computer to execute a process including detecting an area in a store where a product is arranged, when an analysis result of the acquired purchase information during a certain period of time set in advance satisfies a predetermined condition, among a plurality of video images of the detected area, extracting an analysis result of each of the video images according to the certain period of time, every time the analysis result of the video image according to the certain period of time is extracted, storing the extracted analysis result of the video image in a storage, by inputting a prompt including the analysis result of the video image stored in the storage during a first period of time into a language model, and generating and outputting information on a measure to be taken in the store.

Abstract: An information processing device generates a first data group that is before transformation at an a-th diffusion stage. The information processing device obtains a third data group that is generated by a second quantum circuit according to a second data group that is before transformation at a b-th reverse diffusion stage. The information processing device trains the first quantum circuit to discriminate the first data group as true and to discriminate the third data group as false. The information processing device trains the second quantum circuit so that the trained first quantum circuit discriminates the third data group as true. The information processing device sets the trained second quantum circuit as a variational quantum circuit expressing an operation of the b-th reverse diffusion stage.

Abstract: An information processing apparatus generates a second quantum circuit by converting a first two-qubit gate included in a first quantum circuit into a two-qubit gate sequence in which the gate operation of the first two-qubit gate is repeated a predetermined number of times consecutively. The information processing apparatus converts a second two-qubit gate, which forms a part of the two-qubit gate sequence included in the second quantum circuit, into a first equivalent circuit representing a gate operation with a first global phase. In addition, the information processing apparatus converts a third two-qubit gate, which forms a part of the two-qubit gate sequence, into a second equivalent circuit representing a gate operation with a second global phase. Thus, a third quantum circuit is generated. The information processing apparatus then causes a quantum computer to execute the third quantum circuit.

Abstract: A recording medium storing a program causing a computer to execute: acquiring, from a value table storing records in association with molecules, a value list including one or more records corresponding to the target molecule, each of the records including a combination of a first number, which indicates how many pieces one quantum calculation processing is distributed into, and a processing time of executing the quantum calculation processing once with the first number; determining, using the one or more records, the first number and a second number indicating how many pieces the multiple times of quantum calculation processing are distributed into, so as to reduce a processing time of executing multiple times of quantum calculation processing, while a product of the first and second numbers does not exceed a number of arithmetic devices available; and controlling the multiple times of quantum calculation processing, using the first and second numbers.

Abstract: A quantum device includes a qubit substrate having qubits and conductive pads coupled to the qubits, the qubit substrate having a first thermal expansion coefficient; a first support having a second thermal expansion coefficient; a plurality of second supports each having a third thermal expansion coefficient disposed between the qubit substrate and the first support; a plurality of coupling members, each coupling the first support and a corresponding one of the second supports; and spring pins supported by the second supports and in contact with the conductive pads, wherein a control signal for controlling a state of each of the qubits is supplied to the corresponding conductive pad through the corresponding spring pin, and wherein an absolute value of a difference between the first and the second thermal expansion coefficients is smaller than an absolute value of a difference between the first and the third thermal expansion coefficients.

Abstract: A memory circuit including a word line driver configured to set a potential of a word line signal input to a selected memory cell to a second value lower than a first value by a certain amount until a stable operation of the memory cell is ensured, a timing adjustment circuit configured to determine a time at which the potential of the word line signal is set to the second value, and a pull-up circuit configured to boost the potential of the word line signal from the second value to the first value according to the determined time.

Abstract: An information processing apparatus generates error patterns each indicating one or more first data qubits to which errors are introduced among a plurality of data qubits in a two-dimensional lattice where the data qubits and a plurality of ancilla qubits are alternately arranged in each of a row and a column direction; determines whether the first data qubits indicated by the error patterns satisfy a predetermined determination criterion; determines, when the criterion is satisfied, that a logical error does not occur in the error patterns; and determines, when the criterion is not satisfied, whether the logical error occurs based on error detection information where ancilla qubits adjacent, in the row or column direction, to the first data qubits indicated in the error patterns have flipped states.

Abstract: A processing unit acquires a predicted retrieval time for each container to be arranged in a storage location (predetermined area), and an estimated value of the standard deviation of the error between the predicted retrieval time and an actual retrieval time. The processing unit determines, for each container pair, a weight coefficient representing a swapping probability of a retrieval order, using the predicted retrieval time and the estimated value. The processing unit formulates a linear programming problem relating to the container arrangement, using an objective function in which decision variables are weighted by the weight coefficients. Each decision variable indicates, for a container pair, whether a first container is stacked on a second container having a later retrieval time. The processing unit performs a solving process of the linear programming problem according to the objective function, and outputs arrangement information on the containers as a solving result.

Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes obtaining an image that includes a face to which a first marker and a second marker are attached, identifying a first position of the first marker included in the image and a second position of the second marker included in the image, determining intensity of a specific facial expression in the face based on a first difference between the first position and a first reference position of the first marker and a second difference between a first positional relationship between the first position and the second position and a second positional relationship between the first reference position and a second reference position of the second marker, and outputting the determined intensity of the specific facial expression in association with the image.

Abstract: A non-transitory computer-readable recording medium stores therein an output program that causes a computer to execute a process including receiving information related to a policy, identifying a policy model composed of a plurality of components that prescribes content related to the policy in a hierarchical structure using the received information related to the policy, generating a policy model in which one or more components corresponding to the information related to the policy among a plurality of components possessed by the identified policy model are changed and outputting the generated policy model.

Abstract: A non-transitory computer-readable recording medium has stored therein a specifying program that causes a computer to execute a process including acquiring an attribute of training data, acquiring a document related to a decision-making condition for a specific attribute of a user inputting a prompt including the attribute of the training data and a token of the document related to the decision-making condition to a large-scale language model and outputting an appearance probability of a token related to the attribute and specifying a label of a training target of a machine learning model from the training data based on the output appearance probability of the token.

Abstract: A processor includes a cache that holds data read from a memory by a memory access request; a prefetch queue including entries to be respectively assigned to streams, each of the entries being used to control prefetching of data from the memory to the cache for a corresponding stream, the streams being memory access requests for consecutive addresses; a stride setting circuit that adjusts a stride in accordance with a number of valid entries to which the streams are respectively assigned, and reduces the stride as the number of the valid entries increases, the stride being a change amount between an access address and a prefetch destination address; and a prefetch management circuit that issues a prefetch request to the memory, using the adjusted stride, upon or after a number of the memory access requests for the consecutive addresses reaching a first threshold value for each of the streams.

Abstract: In executing trials each of which changes the value of a state variable included in state variable groups included in an evaluation function for a combinatorial optimization problem, a processing unit performs, based on evaluation function information on the evaluation function, a first process of determining a candidate for a first state variable whose value is to be changed in parallel for each state variable group, in each trial, with a first probability, performs, based on the evaluation function information, a second process of selecting one second state variable and determining whether to accept a change in the value thereof in parallel for each state variable group, in each trial, with a second probability, updates the value of the first state variable selected from the candidates determined by the first process, and updates the value of a second state variable whose change is accepted by the second process.

Abstract: A search unit performs a search process. In the search process, a first process and a second process are iteratively performed. The first process is a process of selecting a change-target state variable from a plurality of state variables included in an evaluation function, based on the amounts of change in the value of the evaluation function caused by updating the values of the individual state variables and a first function that is a function representing a selection criterion for the change-target state variable according to the amounts of change. The second process is a process of updating the value of the selected change-target state variable. A control unit switches the function used by the search unit in the search process to a second function different from the first function.

Abstract: A recording medium storing a program for causing a computer to execute: acquiring a first quantum circuit expressing an action of a time evolution operator regarding a target problem, a second quantum circuit having parameters and a smaller number of quantum gates than the first quantum circuit, and a third quantum circuit defining one or more quantum states being a part of quantum states regarding the target problem, in which each of the first, second, and third quantum circuits has a first size; creating first, second, and third local circuits each having a second size, by respectively reducing sizes of the first, second, and third quantum circuits to the second size smaller than the first size; calculating solutions of the parameters, so as to minimize a value of a cost function for each quantum state; and setting a quantum circuit expressing the action of the time evolution operator.