Abstract: Provided is a display device including gate drive circuits, a signal line connected to the gate drive circuit, a signal line connected to the gate drive circuit, a gate terminal, inspection terminals, and a connection line. The connection line connects the signal line and the signal line. The inspection terminal is disposed on the signal line. The inspection terminal is disposed on the signal line. The inspection terminals are terminals input with an inspection signal at the time of inspection.

Abstract: Proposed are an X-ray inspection apparatus and a method of inspection with X-rays in which even in a sample having coated portion and uncoated portion of the cathode material, the inspection of foreign objects in the both portions can be simultaneously performed under the same conditions. The X-ray inspection apparatus includes an X-ray source (2) that irradiates the sample (S) with X-rays (X1), an X-ray detection unit (3) which is installed at a side opposite to the X-ray source with respect to the sample and detects the X-rays that passed through the sample, and a filter (4) installed between the X-ray source and the X-ray detection unit, wherein the sample has a region with a large amount of X-ray absorption and a region with a small amount of X-ray absorption.

Abstract: Proposed are an X-ray inspection apparatus and a method of inspection with X-rays in which foreign objects in even a sample in which bending, sagging, or curving may occur can be inspected accurately. The X-ray inspection apparatus includes an X-ray source (2) which irradiates a sample with an X-ray, an X-ray detection unit (3) that is installed on a side opposite to the X-ray source with respect to the sample and detects the X-ray that passed through the sample, and a sample support mechanism (14) that supports the sample, wherein the sample is flexible and has a shape of a film, and the sample support mechanism has a support body (4) through which the X-ray is capable of passing and which is in close contact with and supports at least a portion of the sample, that is disposed between the X-ray source and the X-ray detection unit.

Abstract: A storage unit stores some of a plurality of coupling coefficients stored in a storage device. A processing unit takes a plurality of first state variables among a plurality of state variables as a trial target set. The processing unit performs a process of reading a plurality of first coupling coefficients corresponding to a plurality of first pairs of the first state variables belonging to the trial target set from the storage device, storing the plurality of first coupling coefficients in the storage unit, and conducting, a plurality of times, a trial on whether to update the value of any first state variable belonging to the trial target set using the plurality of first coupling coefficients. The processing unit repeats change of the trial target set and the process, so as to target all the plurality of state variables in the trials.

Abstract: A wireless communication device that implements beamforming includes: a storage, a processor, and a radio circuit. The storage stores directivity information that indicates a directivity of a radio intensity obtained when beams are formed in a plurality of main lobe directions designated in advance. The processor calculates, based on the directivity information, an interference to a first beam from a second beam when an instruction to form the first beam and the second beam is given. The first beam is configured to transmit a first signal in a first main lobe direction. The second beam is configured to transmit a second signal in a second main lobe direction. The processor generates, based on the calculated interference, a cancellation signal for canceling the second signal in the first main lobe direction. The radio circuit transmits the first signal and the cancellation signal.

Abstract: An optimization apparatus calculates a first portion, among energy change caused by change in value of a neuron of a neuron group, caused by influence of another neuron of the neuron group, determines whether to allow updating the value, based on a sum of the first and second portions of the energy change, and repeats a process of updating or maintaining the value according to the determination. An arithmetic processing apparatus calculates the second portion caused by influence of a neuron not belonging to the neuron group and an initial value of the sum. A control apparatus transmits data for calculating the second portion and the initial value to the arithmetic processing apparatus, and the initial value and data for calculating the first portion to the optimization apparatus, and receives the initial value from the arithmetic processing apparatus, and a value of the neuron group from the optimization apparatus.

Abstract: A compound represented by the following formula (1A) or (1B): (the symbols in the formulae (1A) and (1B) have the same meaning as defined in the specification), an organic electroluminescent device containing the compound, and an electronic device including the organic electroluminescent device.

Abstract: A problem is inputted into an operation unit. A computation unit searches for a ground state of an Ising model. A management unit converts the problem inputted from the operation unit to the Ising model, inputs the Ising model produced by conversion and initial operating conditions into the computation unit, and has the computation unit search for the ground state using overall operating conditions produced by changing the initial operating conditions based on a result of the computation unit searching for the ground state using the initial operating conditions.

Abstract: An optimization method includes holding combining destination information indicating a combining destination neuron to be combined with a target neuron which is one of a plurality of neurons corresponding to a plurality of spins of an Ising model obtained by converting an optimization problem, the target neuron being different in a plurality of neuron circuits; holding a weighting coefficient indicating a strength of combining between the target neuron and the combining destination neuron, and outputting the weighting coefficient corresponding to the combining destination information; permitting an update of a value of the target neuron by using the weighting coefficient output and the value of the update target neuron, and outputting a determination result indicating whether or not the value of the target neuron is permitted to be updated; and determining the update target neuron based on the plurality of determination results respectively output and outputting the update target information.

Abstract: An optimization device includes: processing circuits each configured to: hold a first value of a neuron of an Ising model; and perform a process to determine whether to permit updating of the first value based on information of the Ising model and information about a target neuron; a control circuit configured to: set, while causing a portion of the processing circuits to perform the process for a partial neuron group, information to be used for the process for a first neuron other than the partial neuron group in a first processing circuit; cause a second processing circuit among the portion of the processing circuits to inactivate the process; and cause the first processing circuit to start the process for the first neuron; and an update neuron selection circuit configured to: select the target neuron from one or more update permissible neurons; and update the value of the target neuron.

Abstract: A system configured to search for solutions to a problem represented by an energy function containing state variables, the system including: nodes to which each subproblem divided from the problem is separately assigned, each node being configured to: search for the solutions by updating one of the state variables belonging to a state variable group including a part of the state variables; hold the solutions found by the search; transmit one of the solutions to another node; receive another one of the solutions from the another node; and update, based on the another one of the solutions, the solutions held by the own node in accordance with a rule, wherein a part of a first state variable group assigned to a first node from among the state variables overlaps with at least a part of a second state variable group assigned to a second node from among the state variables.

Abstract: A wireless communication device that implements beamforming includes: a storage, a processor, and a radio circuit. The storage stores directivity information that indicates a directivity of a radio intensity obtained when beams are formed in a plurality of main lobe directions designated in advance. The processor calculates, based on the directivity information, an interference to a first beam from a second beam when an instruction to form the first beam and the second beam is given. The first beam is configured to transmit a first signal in a first main lobe direction. The second beam is configured to transmit a second signal in a second main lobe direction. The processor generates, based on the calculated interference, a cancellation signal for canceling the second signal in the first main lobe direction. The radio circuit transmits the first signal and the cancellation signal.

Abstract: An information processing device includes: a memory; and a processor configured to: hold each of values of state variables included in an evaluation function representing energy; calculate the change value of the energy for each of state transitions, when a state transition occurs due to a change of any of the values of the state variables; control a temperature value representing temperature; select any of the state transitions, based on priority information set based on state transition information updated last time with respect to identification information for identifying each state transition, and transition acceptance information indicating transition acceptance determined based on the change value, and a generated thermal noise; and output a lowest energy state which is the values of the state variables when the energy to be updated based on the selected state transition becomes a lowest value.

Abstract: An individual ising device connected to common buses includes neuron circuits, a memory, and a router. The memory holds connection destination information per neuron circuit. An individual item of connection destination information includes first address information identifying one of a plurality of connection destination neuron circuits of a neuron circuit and second address information identifying a first ising device including at least one of the connection destination neuron circuits, the first and second address information being correlated.

Abstract: An optimization device includes: a state hold circuit that holds values of state variables included in an evaluation function that represents energy; an objective function calculation circuit that calculates an energy change value in an objective function included in the evaluation function for each of state transitions when a state transition occurs in response to a change in any of the values of the state variables; a constraint term calculation circuit that calculates a constraint term evaluation value, which is an evaluation value of a constraint term included in the evaluation function, for each of the state transitions; a temperature control circuit that controls a temperature value that indicates a temperature; and a transition control circuit that determines stochastically whether to accept any of the state transitions based on the temperature value, a random number value, and a sum of the change value and the constraint term evaluation value.

Abstract: Ising devices interconnected via buses each include: neuron circuits that each update, when a value of an output signal from one of connection destination neuron circuits changes, a value based on an update signal; a memory holding connection destination information wherein items of address information respectively identifying the destination neuron circuits and the ising devices including these circuits and identification information about weight values are associated with each other; a control circuit that outputs, when an output signal of a destination neuron circuit in an ising device other than the own ising device changes, the value of the changed output signal and the update signal based on the destination information; and a router that receives a mode set value from a control device and determines whether to connect at least two neighboring ising devices, or a neighboring ising device and the control circuit, based on the set value.

Abstract: An individual neuron circuit calculates a first value based on a sum of products each obtained by multiplying one of weight values, each representing connection or disconnection between a corresponding neuron circuit and one of the other neuron circuits, by a corresponding one of output signals of the other neuron circuits and outputs 0 or 1, based on a result of comparison between a second value obtained by adding a noise value to the first value and a threshold. An arbitration circuit allows, when first output signals of first neuron circuits interconnected among the neuron circuits simultaneously change based on the weight values, updating of only one of the first output signals of the first neuron circuits and allows, when second output signals of second neuron circuits not interconnected simultaneously change, updating of the second output signals.

Abstract: An optimization method includes holding combining destination information indicating a combining destination neuron to be combined with a target neuron which is one of a plurality of neurons corresponding to a plurality of spins of an Ising model obtained by converting an optimization problem, the target neuron being different in a plurality of neuron circuits; holding a weighting coefficient indicating a strength of combining between the target neuron and the combining destination neuron, and outputting the weighting coefficient corresponding to the combining destination information; permitting an update of a value of the target neuron by using the weighting coefficient output and the value of the update target neuron, and outputting a determination result indicating whether or not the value of the target neuron is permitted to be updated; and determining the update target neuron based on the plurality of determination results respectively output and outputting the update target information.

Abstract: An information processing device includes: a memory; and a processor configured to: hold each of values of state variables included in an evaluation function representing energy; calculate the change value of the energy for each of state transitions, when a state transition occurs due to a change of any of the values of the state variables; control a temperature value representing temperature; select any of the state transitions, based on priority information set based on state transition information updated last time with respect to identification information for identifying each state transition, and transition acceptance information indicating transition acceptance determined based on the change value, and a generated thermal noise; and output a lowest energy state which is the values of the state variables when the energy to be updated based on the selected state transition becomes a lowest value.

Abstract: Each energy value calculation circuit calculates an energy value, based on a sum total of values obtained by multiplying state values of a plurality of second neurons coupled with a first neuron by corresponding weighting values indicating coupling strengths, and updates the energy value, based on identification information of an updated neuron whose state is updated among the plurality of second neurons and a state value of the updated neuron. Each state transition determination circuit outputs, based on a second energy value and a noise value, a determination signal indicating a determination result of whether a change in a state value of the first neuron is possible. An updated neuron selection circuit selects, based on received determination signals, a first neuron a change in whose state value is possible and outputs identification information of the selected first neuron as identification information of the updated neuron.