Abstract: An information processing device according to the present disclosure includes: an acquisition unit that acquires a data supply method, a model to be trained, and designation information related to a size and a category of a sample set to be used for training of the model; and a selection unit that selects a sample set to be used for the training of the model from a dataset based on information entropy determined according to the model and the designation information.

Abstract: A vehicle lock device includes a base including an entry groove for entry of a striker, a latch that pivots between a restraining position to restrain the striker and a release position to release the striker and also to allow entry of the striker, a locking lever engaging the latch and holding the latch in the restraining position, and a torsion spring that presses the striker rearward in an entry direction when a first arm portion comes into contact with the striker, and that applies an elastic force to the latch toward the release position when the first arm portion engages the latch. The first arm portion of the torsion spring is disengaged from the latch when the first arm portion is pushed down in the entry direction by the striker.

Abstract: [Object] To provide an information processing apparatus, an information processing method, and a program capable of providing more useful information to a driver. [Solution] An information processing apparatus including: a prediction section configured to predict accident probability of a vehicle driven by a user; and an output control section configured to cause information to be output to the user, the information corresponding to a factor that increases the accident probability predicted by the prediction section.

Abstract: An information processing apparatus according to the present disclosure includes at least two processors that extract, from first information input to a system, second information necessary for processing formulated as a combination optimization problem, receive an input of the extracted second information and calculate an objective function of the combination optimization problem, and receive an input of the objective function and output a solution of the combination optimization problem. One processor of the at least two processors is a processor that outputs the solution of the combination optimization problem.

Abstract: An optimization problem solving method according to the present disclosure includes: inputting first data from a sensor; generating an objective function for performing sparse modeling on the first data; generating a coefficient matrix related to a variable to be optimized in the objective function; transmitting the coefficient matrix to a first Ising machine that performs combinatorial optimization calculation; and generating an optimum solution of sparse modeling based on second data received from the first Ising machine.

Abstract: Techniques for controlling updating of information stored on a device, the information including information of a first type and information of a second type. The techniques include determining, using at least one processor, when a first item of information of the first type and a second item of information of the second type are to be updated, wherein the second item of information is to be updated more frequently than the first item of information; and causing the device to update the first and second items of information in accordance with the determination at least in part by wirelessly communicating with at least one other device.

Abstract: Techniques for controlling updating of information stored on a device, the information including information of a first type and information of a second type. The techniques include determining, using at least one processor, when a first item of information of the first type and a second item of information of the second type are to be updated, wherein the second item of information is to be updated more frequently than the first item of information; and causing the device to update the first and second items of information in accordance with the determination at least in part by wirelessly communicating with at least one other device.

Abstract: A suitable fluorescence separation method is set according to an object to be measured. An information processing device according to an embodiment includes a separation unit (14) that calculates, from a fluorescence signal measured from a biological sample labeled with one or more fluorescent dyes, fluorescence intensities of one or more fluorescent beams and an autofluorescent beam emitted from the one or more fluorescent dyes and the biological sample, respectively, by an arithmetic operation using a least squares method using a fluorescence spectrum reference of each of the fluorescent dyes and an autofluorescence spectrum of the biological sample. In the arithmetic operation using the least squares method, an upper limit value and a lower limit value of the fluorescence intensity are set for each of the one or more fluorescent beams and the autofluorescent beam.

Abstract: The present technology relates to an information processing device, an information processing method, that facilitate comparisons between insurances. The information processing device includes an acquisition unit that acquires an output from one sensor or outputs from a plurality of sensors different from each other as behavior-monitoring data items of a user, and a diagnosis-result prediction unit that predicts a diagnosis result about one insurance or diagnosis results about a plurality of insurances for the user on the basis of a prediction model calculated in advance by learning for the one insurance or each of the plurality of insurances and on the basis of the behavior-monitoring data items. The present technology is applicable to comparison systems.

Abstract: A main object of the present technology is to provide a technology for automatically presenting a better combination of fluorescent markers. The present technology provides an information processing system including an information processing device that includes a calculation processing unit that calculates an objective function regarding a combination of a biomolecule, the biomolecule being a labeling target in a sample, with a labeling phosphor, on the basis of first data listing information on the biomolecule, and second data listing information on the labeling phosphor, and an assignment information output unit that outputs information on assignment of the labeling phosphors to respective biomolecules, the information being generated on the basis of combination information acquired from a combinatorial optimization processing unit on the basis of a coefficient of the objective function.

Abstract: To previously predict learning performance in accordance with the labeling status of learning data. Provided is an information processing device including a data distribution presentation unit that performs dimensionality reduction on input learning data to generate a data distribution diagram related to the learning data, a learning performance prediction unit that predicts learning performance on the basis of the data distribution diagram and a labeling status related to the learning data, and a display control unit that controls a display related to the data distribution diagram and the learning performance. The data distribution diagram includes overlap information about clusters including the learning data and information about the number of pieces of the learning data belonging to each of the clusters.

Abstract: The present technology relates to a program, an information processing method, and an information processing apparatus that make it possible to easily design network. A program according to one aspect of the present technology is a program causing a computer to serve as: a generating unit that generates, in response to specification of a data set including data for learning, a network for inference execution and a network for learning corresponding to the data set; and a learning unit that inputs the data for learning to the network for learning and performs learning of the network for inference execution. The present technology is applicable to a program that supports network design by Deep Learning.

Abstract: There is provide an information processing device capable of reducing the time taken for selection of the learning setting, the information processing device including: a data acquisition unit configured to acquire a learning setting corresponding to information related to previous learning processing in which a degree of similarity with information related to learning processing specified by a user is higher than a predetermined degree of similarity as a learning setting to be recommended to the user; and a display control unit configured to control display corresponding to the learning setting to be recommended.

Abstract: [Object] To provide an information processing apparatus, an information processing method, a program, and a system capable of providing a more appropriate vehicle insurance by selecting a vehicle insurance in accordance with a current situation. [Solution] An information processing apparatus including: a selection section configured to select an insurance to be applied to a vehicle from one or more insurances calculated on a basis of a set vehicle insurance condition, attribute information of the vehicle and a user, and real-time characteristic information of the vehicle which includes movement route information.

Abstract: A conversion method according to the present disclosure, is a method of converting an objective function of combinatorial optimization related to encoding and decoding into a form of an Ising model, the conversion of the objective function into the form of the Ising model being performed by the conversion method, and the method includes: removing a modulo 2 operation from the objective function by using first transformation; replacing a first variable to be optimized included in the objective function with a second variable corresponding to an Ising spin by using second transformation; and reducing a degree related to the second variable of the objective function by using third transformation.

Abstract: A vehicle hood lock device includes a base including a groove for entry of a striker, a latch that pivots between a restraining position and a release position, a locking lever engaging the latch, a torsion spring causing the latch to pivot in a direction toward the release position, and a sub-plate fixed to the base by a latch pin supporting the latch and a locking pin supporting the locking lever. The torsion spring includes a cylindrical portion. The sub-plate integrally includes a basal portion, a circumferential wall portion rising up from the basal portion in a pivot axis direction of the latch, facing the cylindrical portion in a radial direction thereof and restricting movement of the torsion spring in the radial direction, and a brim portion protruding outward in the radial direction from the circumferential wall portion and restricting movement of the torsion spring in the pivot axis direction.

Abstract: A vehicle lock device includes a base including an entry groove for entry of a striker, a latch that is supported on the base and pivots between a restraining position to restrain the striker and a release position to release the striker, a locking lever that is supported on the base, engages the latch and holds the latch in the restraining position, and a torsion spring that is arranged adjacent to the latch so that a first arm portion is located on the latch side, and that presses the striker rearward in an entry direction when the first arm portion comes into contact with the striker. The first arm portion of the torsion spring is bent or curved in an axial direction of a coiled portion so that a tip portion of the first arm portion is located on an inner side of the coiled portion in the axial direction.

Abstract: A vehicle lock device includes a base including an entry groove for entry of a striker, a latch that pivots between a restraining position to restrain the striker and a release position to release the striker and also to allow entry of the striker, a locking lever engaging the latch and holding the latch in the restraining position, and a torsion spring that presses the striker rearward in an entry direction when a first arm portion comes into contact with the striker, and that applies an elastic force to the latch toward the release position when the first arm portion engages the latch. The first arm portion of the torsion spring is disengaged from the latch when the first arm portion is pushed down in the entry direction by the striker.

Abstract: There is provided an information processing apparatus to reduce the burden of label assignment and achieve learning that is more flexible, the information processing apparatus including: a learning unit configured to perform machine learning using training data to which a constraint label is assigned. The constraint label is a label in which a type of constraint that a normal label is to follow is defined. In addition, there is provided an information processing method including: performing, by a processor, machine learning using training data to which a constraint label is assigned. The constraint label is a label in which a type of constraint that a normal label is to follow is defined.

Abstract: The object is to provide an information processing apparatus, an information processing method, and a program capable of appropriately handling a difference between detection results of sensors. The solution is an information processing apparatus including: a detection section configured to detect first information regarding a mobile object; an acquisition section configured to acquire second information regarding the mobile object, the second information being detected by an external apparatus; and a control section configured to control processing based on a comparison result of the first information and the second information detected for the same mobile object.