A differential phase modulation Mach-Zehnder optical modulator includes a first phase modulation unit and a second phase modulation unit; an optical interference circuit that receives a polarized clock pulse train that was modulated by the differential phase modulation Mach-Zehnder optical modulator, and allows a predetermined interaction in the Ising model to occur at a period corresponding to the N pulses of the polarized clock pulse train; and a multiplexer/demultiplexer that receives the N initialization optical pulses that create a neutral state with respect to interactions between the elements and receives an output light pulse train from the optical interference circuit, couples the initialization optical pulses with output of the optical interference circuit, demultiplexes the initialization optical pulses and the output light pulse train, outputs a demultiplexed first phase modulation signal to the first phase modulation unit, and outputs a demultiplexed second phase modulation signal to a delay unit.

A system and method that uses midservers located between the business enterprise computer infrastructure and the cloud-based infrastructure to collect, aggregate, analyze, transform, and securely transmit data from a multitude of computing devices and peripherals at an external network to a cloud-based service.

A system and method that uses midservers located between the business enterprise computer infrastructure and the cloud-based infrastructure to collect, aggregate, analyze, transform, and securely transmit data from a multitude of computing devices and peripherals at an external network to a cloud-based service.

Ultrasound imaging systems for automatically identifying and saving ultrasound images relevant to a needle injection procedure, and associated systems and methods, are described herein. For example, an ultrasound imaging system includes a transducer for transmitting/receiving ultrasound signals during a needle injection procedure, and receive circuitry configured to convert the received ultrasound signals into ultrasound image data. The image data can be stored in a buffer memory. A processor can analyze the image data stored in the buffer memory to identify image data that depicts a specified injection event of the needle injection procedure, and the identified image data can be stored in a memory for archival purposes.

Provided is a technology that optimizes a variable being an optimization target at high speed. A variable optimization apparatus includes a variable update unit configured to, by assuming that w is a variable being an optimization target. G(w)(=G1(w)+G2(w)) is a cost function for optimizing the variable w, calculated by using input data. D is a strictly convex function that is differentiable and satisfies ∇D(0)=0. Ri and Ci are a D-resolvent operator and a D-Cayley operator, respectively and −Gi(w) is a strongly convex function approximating a function Gi(w), recursively calculate a value of the variable w by using the D-resolvent operator Ri and the D-Cayley operator Ci. When the variable update unit calculates ∇D(w), for a D-resolvent operator R1 and a D-Cayley operator C1, T1(w)=∇−G1(w)−∇−G1(0) is used for calculation of ∇D(w), and for a D-resolvent operator R2 and a D-Cayley operator C2, ∇T2(w)=∇−G2(w)−∇−G2(0) is used for calculation of ∇D(w).

Molecular computer techniques for solving a computational problem using an array of reaction sites, for example, droplets, are disclosed. The problem may be represented as a Hamiltonian in terms of problem variables and problem parameters. The reaction sites may have a physicochemical property mapping to discrete site states corresponding to possible values of the problem variables. In a purely molecular approach, the reaction sites have intra-site and inter-site couplings enforced thereon representing the problem parameters, and the array is allowed to evolve, subjected to the enforced couplings, to a final configuration conveying a solution to the problem. In a hybrid classical-molecular approach, an iterative procedure may be performed that involves feeding read-out site states into a digital computer, determining, based on the problem parameters, perturbations to be applied to the states, and allowing the array to evolve under the perturbations to a final configuration conveying a solution to the problem.

A contribution management system and process for facilitating the identification of individual users who have made contributions to an electronic content item, and the extent of that contribution. As an example, a reader may review the list of contributors with a representation of their relative degree or amount of contribution to the document, and also allow for access to other documents that have been developed by the identified contributor. These tools can provide collaborative document users the ability to more clearly distinguish casual contributors or non-contributing owners of the document from higher-level contributors whose authorship has significantly shaped the content. In addition, the listing or identification of top contributors can be configured to facilitate communication between an interested reader and the identified contributor, which increases the ease with which members of larger organizations can collaborate, seek mentorship, or develop useful relationships.

A system and methods relate to, inter alia, determining a prediction confidence level associated with machine identification of production data based on a machine learning model. The system and methods further relate to routing the production data to at least one of a human analyzer device associated with the human analyzer or a prediction engine of the server based on the prediction confidence level for identification of the data. The machine learning model of the system and methods may be configured to be modifiable in response to feedback from at least one of the human analyzer device or the prediction engine.

An electronic apparatus and an operating method are provided. The electronic apparatus includes a storage, at least one sensor, and at least one processor configured to execute stored instructions to while the electronic apparatus is moving, capture a surrounding image by using the at least one sensor, when an unable-to-move situation occurs while the electronic apparatus is moving, generate context data including a surrounding image captured within a predetermined time from a time when the unable-to-move situation has occurred, store, in the storage, the generated context data corresponding to the unable-to-move situation having occurred, and learn the stored context data by using one or more data recognition models.

The first parameter generation unit 811 generates a first parameter, which is a parameter of a first recognizer, using first learning data including a combination of data to be recognized, a correct label of the data, and domain information indicating a collection environment of the data. The second parameter generation unit 812 generates a second parameter, which is a parameter of a second recognizer, using second learning data including a combination of data to be recognized that is collected in a predetermined collection environment, a correct label of the data, and target domain information indicating the predetermined collection environment, based on the first parameter. The third parameter generation unit 813 integrates the first parameter and the second parameter to generate a third parameter to be used for pattern recognition of input data by learning using the first learning data.