公开(公告)号：US09971954B2

公开(公告)日：2018-05-15

申请号：US14967456

申请日：2015-12-14

Applicant: FUJITSU LIMITED

Inventor： Tsuyoshi Nagato ,  Tetsuo Koezuka

IPC: G06K9/00 ,  G06K9/48 ,  G06N3/12 ,  G06K9/46 ,  G06T7/00 ,  G06T7/60 ,  G06T7/10

CPC classification number: G06K9/48 ,  G06K9/46 ,  G06N3/126 ,  G06T7/0004 ,  G06T7/10 ,  G06T7/60 ,  G06T2207/10004 ,  G06T2207/20061 ,  G06T2207/20081 ,  G06T2207/30108

Abstract: In order to produce an image processing filter by utilizing genetic programming, a taught parameter acquiring unit acquires a taught parameter indicating a feature shape in an input image before processing. A data processing unit creates an output image by processing the input image with an image processing filter, and subsequently a feature extracting unit extracts a detected parameter indicating a feature shape in the output image. An automatic configuring unit evaluates the image processing filter by calculating cosine similarity between the taught parameter and the detected parameter.

公开(公告)号：US20180068044A1

公开(公告)日：2018-03-08

申请号：US15694749

申请日：2017-09-01

Applicant: Synopsys, Inc.

Inventor： Robert J. Erickson

IPC: G06F17/50 ,  G06N3/12

CPC classification number: G06F17/5054 ,  G06F2217/02 ,  G06N3/126 ,  G06N5/022

Abstract: A method for partitioning for a hypergraph including a plurality of nodes into a plurality of bins includes assigning each node of the hypergraph to one of the plurality of bins to generate a candidate solution, and for each pair of nodes in the candidate solution, calculating a weighted covariance based on the bin assignment of each node of the pairs of nodes in the candidate solution. The assigning and the calculating are repeated to generate an accumulated weighted covariance for the pairs of nodes, from which a seed partition of the hypergraph is generated.

公开(公告)号：US20170351963A1

公开(公告)日：2017-12-07

申请号：US15171471

申请日：2016-06-02

Applicant: The Climate Corporation

Inventor： BILL LEEDS ,  VALLIAPPA LAKSHMANAN ,  FRANCISCO ALVAREZ ,  NATALIA HRYNIW

IPC: G06N7/00 ,  G01W1/14 ,  G01W1/10

CPC classification number: G01W1/14 ,  G01S7/003 ,  G01S13/951 ,  G01W1/18 ,  G06N3/006 ,  G06N3/126 ,  G06N20/00 ,  Y02A90/18

Abstract: A method for estimating confidence bounds for adjusted rainfall values for a set of geo-locations using agricultural data comprises using a server computer system that receives, via a network, agricultural data records that are used to estimate rainfall values for the set of geo-locations. Within the server computer system, rainfall calculation instructions receive digital data including observed radar and rain-gauge agricultural data records. The computer system then aggregates the agricultural data records and creates and stores the agricultural data sets. The agricultural data records are then used to estimate adjusted rainfall values for a set of geo-locations. Rainfall confidence bounds instructions estimate a set of confidence bounds for each of the adjusted rainfall values for the set of geo-locations. The set of confidence bounds provide a range for each of the adjusted rainfall values that represents a particular level of confidence associated with each of the adjusted rainfall values.

公开(公告)号：US20170308800A1

公开(公告)日：2017-10-26

申请号：US15496179

申请日：2017-04-25

Applicant: Smokescreen Intelligence, LLC

Inventor： Chris CICHON ,  Isaiah BLACKBURN ,  Casey ADAMS

IPC: G06N5/04 ,  G06T11/60 ,  G06N99/00

CPC classification number: G06N20/00 ,  G06N3/126

Abstract: An artificial intelligence (AI) combination platform or orchestration module is described that orchestrates and automates the processes of selecting, building, testing, and delivering new or integrated computer vision, detection, sensor and perception algorithms that can be published or leveraged in near real time by sensors, hardware or applications. The AI combination platform includes one or more of the following engines: algorithm mixer engine, retrospective search engine, algorithm recommendation engine, quality assurance engine, certification engine, and perception engine.

公开(公告)号：US20170300817A1

公开(公告)日：2017-10-19

申请号：US15487295

申请日：2017-04-13

Applicant: D-Wave Systems Inc.

Inventor： Andrew D. King ,  Robert B. Israel ,  Paul I. Bunyk ,  Tomas J. Boothby ,  Steven P. Reinhardt ,  Aidan P. Roy ,  James A. King ,  Trevor M. Lanting ,  Abraham J. Evert

IPC: G06N5/02 ,  G06N99/00

CPC classification number: G06N10/00 ,  G06N3/126

Abstract: Generate an automorphism of the problem graph, determine an embedding of the automorphism to the hardware graph and modify the embedding of the problem graph into the hardware graph to correspond to the embedding of the automorphism to the hardware graph. Determine an upper-bound on the required chain strength. Calibrate and record properties of the component of a quantum processor with a digital processor, query the digital processor for a range of properties. Generate a bit mask and change the sign of the bias of individual qubits according to the bit mask before submitting a problem to a quantum processor, apply the same bit mask to the bit result. Generate a second set of parameters of a quantum processor from a first set of parameters via a genetic algorithm.

公开(公告)号：US20170293849A1

公开(公告)日：2017-10-12

申请号：US15481992

申请日：2017-04-07

Applicant: SENTIENT TECHNOLOGIES (BARBADOS) LIMITED

Inventor： Babak Hodjat ,  Hormoz Shahrzad

IPC: G06N5/04 ,  G06N99/00 ,  G06N7/00

CPC classification number: G06N5/025 ,  G06N3/126

Abstract: In many environments, rules are trained on historical data to predict an outcome likely to be associated with new data. Described is a ruleset which predicts the probability of a particular outcome. Roughly described, an individual identifies a ruleset, where each of the rules has a plurality of conditions and also indicates a rule-level probability of a predetermined classification. The conditions indicate a relationship (e.g. ‘

公开(公告)号：US20170262905A1

公开(公告)日：2017-09-14

申请号：US15451751

申请日：2017-03-07

Applicant: FUJITSU LIMITED

Inventor： Miho MURATA ,  Hidekazu TAKAHASHI ,  Nobutaka IMAMURA

IPC: G06Q30/02 ,  G06N99/00

CPC classification number: G06Q30/0283 ,  G06N3/126 ,  G06N5/047 ,  G06N20/00

Abstract: A computer-readable recording medium storing a data accumulation determination program is disclosed. A first cost and a second cost are calculated from a process content pertinent to a process for acquiring a final result by a plurality of processes. The process content includes a plurality of process contents respective to a plurality sets of output data generated in paths until the final result is acquired by the plurality of processes from subject data. The first cost corresponds to a cost for accumulating the output data in a repository. The second cost corresponds to a cost for generating the output data that are not accumulated in the repository. An accumulation necessity is determined for each of the plurality of sets of the output data based on the first cost and the second cost.

公开(公告)号：US20170262752A1

公开(公告)日：2017-09-14

申请号：US15602240

申请日：2017-05-23

Applicant: International Business Machines Corporation

Inventor： Jason F. Cantin

IPC: G06N3/12

CPC classification number: G06N3/12 ,  G06N3/126

Abstract: In some embodiments, a computerized method may comprise: determining, by an adaptive cataclysm controller operating on one or more processors, that the population of candidate solutions has converged during a run of the genetic algorithm; determining, by the adaptive cataclysm controller operating on the one or more processors, a cause for convergence of the population based, at least in part, on an analysis of the run of the genetic algorithm; selecting, by the adaptive cataclysm controller operating on the one or more processors, a first cataclysm strategy of a plurality of different cataclysm strategies based, at least in part, on one of the cause for the convergence and a history of the run of the genetic algorithm; and simulating, by the adaptive cataclysm controller operating on the one or more processors, a cataclysm based on the first cataclysm strategy.

公开(公告)号：US20170255688A1

公开(公告)日：2017-09-07

申请号：US15057857

申请日：2016-03-01

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Emily HACKETT-JONES ,  Theam Yong CHEW ,  Stephen KIRKBY ,  Rob PALLOTTA ,  Katherine ENDERLING

IPC: G06F17/30 ,  G06N99/00 ,  G06N3/12

CPC classification number: G06F17/30598 ,  G06N3/126 ,  G06N99/005

Abstract: A clustering system selects a parameter set from a plurality of parameter sets associated with a dataset to generate a hyper-optimized cluster of the dataset. Different parameter sets are generated by varying the parameter values based on the Genetic Algorithm or a particle swarming algorithm. A parameter set having a high Fitness score is selected from the different parameter sets and a clustered solution produced using the selected parameter set having a maximum total score is used to produce actionable items.

公开(公告)号：US09753696B2

公开(公告)日：2017-09-05

申请号：US14212462

申请日：2014-03-14

Applicant: Microsoft Technology Licensing, LLC

Inventor： Benjamin Livshits ,  Robert A. Cochran

IPC: G06F9/44 ,  G06N3/12

CPC classification number: G06F8/20 ,  G06N3/126

Abstract: The subject disclosure is directed towards crowd-based approach to boosting the correctness of a computer program. Results from candidate programs obtained from a first crowd and which may be blended with one another into synthesized programs are sent to a second crowd for evaluation. Based upon the results, a training set evolves and programs are filtered based upon fitness. The process of blending and fitness evaluation with an evolved training set may be iteratively repeated to find a most fit program.