Abstract: A training method of an autoencoder that performs encoding and decoding, for a computer to execute a process includes encoding input data by the autoencoder; obtaining a probability distribution of feature data obtained by encoding the input data; generating first decoded data by decoding the feature data by the autoencoder; adding a noise to the feature data by the autoencoder; generating second decoded data by decoding the feature data to which the noise is added by the autoencoder; and training the autoencoder to train the probability distribution of the feature data so that a first error between the first decoded data and the input data, a second error between the first decoded data and the second decoded data, and an information entropy of the probability distribution are decreased.

Abstract: A computer of a data processing device comprising: a common digital twin in which first processed data obtained by processing received source data is stored; a specific digital twin in which second processed data obtained by processing the source data is stored; and a service processor for each of a plurality of services that requests access to the common digital twin or the specific digital twin to perform data processing. Each of a plurality of the service processors is configured to: read the second processed data from the specific digital twin for each of the plurality of services; and when no data to be read is determined to exist, read the first processed data from the common digital twin, in accordance with a predetermined data distribution rule.

Abstract: An information processing apparatus stores mesh data including a plurality of nodes and a plurality of edges and boundary condition data indicating force applied to an object represented by the mesh data. The information processing apparatus calculates a stiffness matrix including a plurality of stiffness values corresponding to the plurality of edges and a force vector including a plurality of force values corresponding to the plurality of nodes. The information processing apparatus generates feature data from the stiffness matrix and the force vector. The information processing apparatus infers a plurality of displacement amounts corresponding to the plurality of nodes by performing a convolutional operation on the feature data in accordance with a connection relationship of the plurality of nodes.

Abstract: A non-transitory computer-readable recording medium has stored therein a machine learning program causing a computer to execute a process including, estimating a first intensity estimation value that indicates an intensity of a data change in data after change, performing a first update, by using an intensity adjustment learning device, on a learning device such that the data change of the intensity indicated by the first intensity estimation value is added to data before change, generating post-change data by adding the data change to the data before change by using the learning device that has been subjected to the first update, estimating a second intensity estimation value that indicates the intensity of the data change in the post-change data by using the intensity estimation AT, and, causing the intensity adjustment learning device to perform first learning such that the second intensity estimation value approaches the first intensity estimation value.

Abstract: A quantum circuit includes a rotation gate representing a gate operation for an arbitrary rotation that rotates a state of a qubit to be operated about an axis different from the coordinate axes. An information processing apparatus transforms the rotation gate for the arbitrary rotation into a sub-circuit that performs a rotation gate operation in which a rotation about a Z-axis is insufficient by a predetermined angle relative to the arbitrary rotation. The information processing apparatus changes, in the quantum circuit, a gate operation of one or a plurality of quantum gates following the rotation gate, which acts on the qubit to be operated, to a gate operation that performs an additional rotation about the Z-axis by the predetermined angle.

Abstract: An access control device includes, a memory that stores data associated with an NFT on a blockchain and stores disclosure destination information indicating a disclosure destination of the data in association with identification information of the NFT; and a processor coupled to the memory and the processor configured to, determine whether or not to disclose the data to a disclosure requester based on the disclosure destination information stored in the memory in a case where a disclosure request of the data is received from the disclosure requester, the disclosure request being based on an access destination of the data indicated by the NFT.

Abstract: A non-transitory computer-readable recording medium has stored therein a control program that causes a computer to execute a process including determining a first parallel number of nodes to execute computation for structural information of a polymer, based on a number of atoms contained in the polymer submitting a job to a plurality of nodes, the job associating the structural information of the polymer with the first parallel number allowing a number of nodes corresponding to the first parallel number for the structural information of the polymer to execute computation for the structural information of the polymer and when a computation time of the computation for the Structural information of the polymer reaches a reference time or more, allowing the nodes that have performed the computation to update a parallel number for the polymer from the first parallel number to a second parallel number.

Abstract: A cooling device includes a first cold plate that cools a first heat generating component, a second cold plate that cools a second heat generating component, a radiator that is provided on the second cold plate and cools a refrigerant, a first refrigerant passage that connects the first cold plate and the second cold plate, and causes the refrigerant that received heat from the first heat generating component to flow from the first cold plate into the second cold plate, and a second refrigerant passage that connects the second cold plate and the radiator and causes the refrigerant that received heat from the second heat generating component to flow from the second cold plate into the radiator.

Abstract: A semiconductor device includes a substrate; a gate electrode, a source electrode, and a drain electrode, the gate electrode, the source electrode and the drain electrode being formed on the substrate; a plurality of nonconductive nanowires formed two-dimensionally on an upper surface of the substrate so as to extend perpendicularly to the upper surface of the substrate; an electrode pad formed at upper ends of the plurality of nanowires so as to have a gap between the electrode pad and the substrate, the electrode pad being supported by the plurality of nanowires; and an extraction electrode connecting the electrode pad and the gate electrode.

Abstract: A time measurement apparatus includes: a memory and a processor coupled to the memory and configured to: select, from among a plurality of anchors for each of which an own installation position is registered, a predetermined anchor for which an installation position that geographically corresponds to a declaration position declared by a terminal is registered; and specify, as round-trip communication delay time between the terminal and the predetermined anchor, time measured based on a reception time point of a first packet received by the predetermined anchor from the terminal and a reception time point of a second packet based on a response packet that responds to the first packet and is received by the predetermined anchor from the terminal.

Abstract: A non-transitory computer-readable storage medium storing a prediction program that causes at least one computer to execute a process, the process includes simulating a flow of people based on a plurality of behavior intentions of people; evaluating the simulated flow based on observation data of the flow of people; and predicting the flow of people based on an evaluation result of the simulated flow of people.

Abstract: A machine learning process including identifying a first axis including elements represented by one-hot vectors and a second axis including elements not represented by one-hot vectors, among a plurality of axes included in tensor-form data, when calculating a core tensor from the tensor-form data via a plurality of intermediate tensors, calculating the core tensor from the tensor-form data by a first process of concatenating elements included in a first element matrix corresponding to the first axis to elements included in a first intermediate tensor among the plurality of intermediate tensors and a second process of calculating a mode product between a second intermediate tensor among the plurality of intermediate tensors and a second element matrix corresponding to the second axis, and performing machine learning of a machine learning model with the core tensor as an input.

Abstract: A computer-readable recording medium stores a specifying program for causing a computer to execute a process. The process includes: calculating a first distance between a center point of each shape data and a straight line on a same plane as the center point, for a specific portion of which the center point is defined, from among a plurality of portions included in a shape indicated by each shape data classified into the same group; adding the calculated first distance to dimensional information of the specific portion in each shape data; and specifying a dimensional relationship between different portions of the shape data in the group, based on the dimensional information for each portion of each shape data in the group.

Abstract: In an embodiment, multiple datasets related to multiple application domains are received. Further, feature dependency information associated with a first dataset is determined, based on a first user input. Also, feature difference information associated with the first dataset and a second dataset is determined, based on a second user input and a set of ethical requirements. A set of structural causal models (SCMs) associated with the first dataset are determined based on the feature dependency information and the feature difference information. A set of ethical coefficients associated with the set of ethical requirements are determined based on an application of a causal transportability model on the set of SCMs. A trust score associated with the first dataset is determined based on the set of ethical coefficients. The trust score is used to train a meta-learning model associated with the multiple application domains.

Abstract: A non-transitory computer-readable storage medium storing an information processing program that causes at least one computer to execute a process, the process includes acquiring video data of a product placed on a scale included in a registration machine; specifying an attribute regarding an appearance of the product, by inputting the acquired video data into a first machine learning model; acquiring information regarding a weight of the product, from the accounting machine that has measured a weight of the product placed on the scale; and performing machine learning of a second machine learning model, by using the specified attribute of the product as training data and the acquired information regarding the weight of the product as correct answer data.

Abstract: A non-transitory computer-readable recording medium having stored therein an information processing program causing a computer to perform a process including: in classification processing on input graph structure data using a machine learning model, acquiring a contribution degree in the classification processing for each of a plurality of partial regions included in graph structure data; and determining an evaluation for the machine learning model based on similarity between the contribution degree and designation information for the partial region of the graph structure data.

Abstract: A machine learning method includes for each of a predetermined number of slices divided from point cloud data including a target of gait recognition, determining whether a corresponding slice includes a point out of a distribution that deviates from the distribution of the target, maintaining a point slice determined not to include the point out of the distribution, obtaining a filtered slice by filtering the corresponding slice determined to include the point out of the distribution to remove the point out of the distribution, and merging the point slice determined not to include the point out of the distribution and the filtered slice with each other to reconstitute the point cloud data and generate disentanglement data.

Abstract: A processor includes a memory access controller that accesses a memory based on a memory access request, a storage that stores a plurality of limit values of an access bandwidth of the memory in association with a plurality of power consumption values of the memory, respectively, a power capping controller that acquires a limit value corresponding to a specified power consumption value from the storage and controls the memory access controller so that the access bandwidth is the acquired limit value or less, and an initial setting circuit that repeatedly accesses the memory during an initialization mode, monitors a power consumption value for a case where the access bandwidth is not limited and a plurality of the power consumption values when the limit value is gradually varied, and stores the plurality of limit values in the storage in association with the plurality of monitored power consumption values, respectively.

Abstract: An information processing apparatus acquires a message including a job name of a job in which a trouble has occurred and type information indicating a type of the trouble. The information processing apparatus determines an impact level of the trouble on a system executing the job, based on a combination of the job name and the type information. The information processing apparatus determines an attribute of information to be acquired, based on the determined impact level. Then, the information processing apparatus acquires, from first information relating to the job, second information having the determined attribute.

Abstract: A computer-readable recording medium stores therein an information processing program for causing a computer to execute a process, the process includes: obtaining a decomposition number of a Trotter decomposition approximating a quantum unitary corresponding to an Ising model; and setting a quantum circuit expressing a formula of the Trotter decomposition by one or more first partial circuits and a second partial circuit, the one or more first partial circuits being of a first count one less than the obtained decomposition number and each including an Rz gate that represents a rotation action about a Z-axis on a qubit, the second partial circuit being free of the Rz gate and coupled to a rear of the one or more first partial circuits.