A method for creating generated formatted data, that includes receiving, by a sequential data generator, raw data, where the raw data includes formation data at a drilling environment, processing the raw data to obtain generated recommendation data, where the generated recommendation data includes a proposed drilling location, and creating the generated formatted data, where the generated formatted data includes the generated recommendation data.

A light diffraction element includes a computing optical structure constituted by microcells, and a position adjustment optical structure outside the computing optical structure.

A light diffraction element includes a computing optical structure constituted by microcells, and a position adjustment optical structure outside the computing optical structure.

Described herein are systems and methods for coupling Nitrogen Vacancy (NV)-defects in a quantum computing architecture. A diamond wafer comprises separated implantation sites, at least a portion of which comprise a single NV-defect. An optical cavity system comprises cavity sites aligned to the implantation sites. An integrated optics system includes a first chip module comprising optical waveguides and associated switchable elements, photon sources, photon detectors, and fiber optic connections. A first switchable element couples a first pair of NV-defects by splitting a beam emitted by a photon source, via a first optical waveguide, to the cavity sites aligned to the implantation sites of the first pair of NV-defects. A second switchable element couples a second pair of NV-defects by splitting a beam emitted by a photon source, via a second optical waveguide, to the cavity sites aligned to the implantation sites of the second pair of NV-defects.

Described herein are systems and methods for coupling Nitrogen Vacancy (NV)-defects in a quantum computing architecture. A diamond wafer comprises separated implantation sites, at least a portion of which comprise a single NV-defect. An optical cavity system comprises cavity sites aligned to the implantation sites. An integrated optics system includes a first chip module comprising optical waveguides and associated switchable elements, photon sources, photon detectors, and fiber optic connections. A first switchable element couples a first pair of NV-defects by splitting a beam emitted by a photon source, via a first optical waveguide, to the cavity sites aligned to the implantation sites of the first pair of NV-defects. A second switchable element couples a second pair of NV-defects by splitting a beam emitted by a photon source, via a second optical waveguide, to the cavity sites aligned to the implantation sites of the second pair of NV-defects.

A prediction technique to predict an anomalous state of a processing environment at a future point in time. One or more values of one or more metrics of the processing system are obtained. For the one or more metrics, one or more predicted values are determined for one or more points in time in the future. Based the predicted values, one or more change values for one or more points in time are determined, and based on the one or more change values, a determination is made as to whether an anomalous state exists within the processing system.

Methods of encoding image data for loading into an artificial intelligence (AI) integrated circuit are provided. The AI integrated circuit may have an embedded cellular neural network for implementing AI tasks based on the loaded image data. An encoding method may apply image splitting, principal component analysis (PCA) or a combination thereof to an input image to generate a plurality of output images. Each output image has a size smaller than the size of the input image. The method may load the output images into the AI chip, execute programming instructions contained in the AI chip to generate an image recognition result based on the at least one of the plurality of output images, and output the image recognition result. The encoding method also trains a convolution neural network (CNN) and loads the weights of the CNN into the AI integrated circuit for implementing the AI tasks.

Systems and computer program products to, responsive to receiving a case by a deep question answering (deep QA) system, identify, in a corpus of information, a first variable for which a value was not specified in the case, compute an importance score for the first variable based on a concept in the corpus, wherein the concept is associated with the first variable, and upon determining that the importance score exceeds an importance threshold, determine that specifying a value for the first variable increases a confidence score of a response returned by the deep QA system beyond a confidence threshold.

Methods to, responsive to receiving a case by a deep question answering (deep QA) system, identify, in a corpus of information, a first variable for which a value was not specified in the case, compute an importance score for the first variable based on a concept in the corpus, wherein the concept is associated with the first variable, and upon determining that the importance score exceeds an importance threshold, determine that specifying a value for the first variable increases a confidence score of a response returned by the deep QA system beyond a confidence threshold.

A system for monitoring an environment may include an input device for monitoring and capturing pattern-based states of a model of the environment. The system may also include a 5 thalamobot embodied in at least a first processor, in which the first processor is in communication with the input device. The thalamobot may include at least one filter for monitoring captured data from the input device and for identifying at least one state change within the captured data. The system may also include at least one critic and/or at least one recognition system.