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    Patent Issued for System and method for enhanced collaborative forecasting (USPT O 11941239)

    133-136页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“This application is a continuation of U.S. application Ser . No. 17/024,474 entitled SYSTEM ANDMETHOD OF NON-LINEAR PROBABILISTIC FORECAST ING TO FOSTER AMPLIFIED COLLECTIVEINTELLIGENCE OF NETWORKED HUMAN GROUPS filed Sep. 17, 2020, which is a continuation of U.S.application Ser. No. 16/356,777 e ntitled NON-LINEAR PROBABILISTIC WAGERING FOR AMPLIFIEDCOLLECTIVE INTELLIGENCE filed Mar. 18, 2019, now U.S. Pat. No. 10,817,159, which claims thebenefit of U .S. Provisional Application No. 62/648,424 entitled NON-LINEAR PROBABILISTIC WAGERING FOR AMPLIFIED COLLECTIVE INTELLIGENCE filed Mar. 27, 2018, which is a cont inuationin-part of U.S. application Ser. No. 16/230,759 entitled METHOD AND SYS TEM FOR A PARALLELDISTRIBUTED HYPER-SWARM FOR AMPLIFYING HUMAN INTELLIGENCE, fi led Dec. 21, 2018, nowU.S. Pat. No. 10,817,158, claiming the benefit of U.S. Pr ovisional Application No. 62/611,756 entitledMETHOD AND SYSTEM FOR A PARALLEL D ISTRIBUTED HYPER-SWARM FOR AMPLIFYING HUMANINTELLIGENCE, filed Dec. 29, 2017, w hich is a continuation-in-part of U.S. application Ser. No.16/154,613 entitled INTERACTIVE BEHAVIORAL POLLING AND MACHINE LEARNING FOR AMPLIFICATIONOF GROUP I NTELLIGENCE, filed Oct. 8, 2018, now U.S. Pat. No. 11,269,502, claiming thebene fit of U.S. Provisional Application No. 62/569,909 entitled INTERACTIVE BEHAVIOR AL POLLINGAND MACHINE LEARNING FOR AMPLIFICATION OF GROUP INTELLIGENCE, filed O ct. 9, 2017,which is a continuation-in-part of U.S. application Ser. No. 16/059 ,698 entitled ADAPTIVE POPULATIONOPTIMIZATION FOR AMPLIFYING THE INTELLIGENCE O F CROWDS AND SWARMS, filedAug. 9, 2018, now U.S. Pat. No. 11,151,460, claiming the benefit of U.S. Provisional Application No.62/544,861, entitled ADAPTIVE OU TLIER ANALYSIS FOR AMPLIFYING THE INTELLIGENCE OFCROWDS AND SWARMS, filed Aug. 13, 2017 and of U.S. Provisional Application No. 62/552,968entitled SYSTEM AND METHOD FOR OPTIMIZING THE POPULATION USED BY CROWDS ANDSWARMS FOR AMPLIFIED EME RGENT INTELLIGENCE, filed Aug. 31, 2017, which is a continuationin-part of U.S. application Ser. No. 15/922,453 entitled PARALLELIZED SUB-FACTOR AGGREGATIONIN REAL-TIME SWARM-BASED COLLECTIVE INTELLIGENCE SYSTEMS, filed Mar. 15, 2018, cla imingthe benefit of U.S. Provisional Application No. 62/473,424 entitled PARALL ELIZED SUB-FACTORAGGREGATION IN A REAL-TIME COLLABORATIVE INTELLIGENCE SYSTEMS filed Mar. 19, 2017,which in turn is a continuation-in-part of U.S. application Ser. No. 15/904,239 entitled METHODS ANDSYSTEMS FOR COLLABORATIVE CONTROL OF A REMOTE VEHICLE, filed Feb. 23, 2018, now U.S.Pat. No. 10,416,666, claiming the benefit of U.S. Provisional Application No. 62/463,657 entitled METHODSAND SYS TEMS FOR COLLABORATIVE CONTROL OF A ROBOTIC MOBILE FIRST-PERSONSTREAMING CAMERA SOURCE, filed Feb. 26, 2017 and also claiming the benefit of U.S. Provisional Application No. 62/473,429 entitled METHODS AND SYSTEMS FOR COLLABORATIVE CONTROL OFA ROBOTIC MOBILE FIRST-PERSON STREAMING CAMERA SOURCE, filed Mar. 19, 2017, which isa continuation-in-part of U.S. application Ser. No. 15/898,468 entitled ADAPTIVE CONFIDENCE CALIBRATIONFOR REAL-TIME SWARM INTELLIGENCE SYSTEMS, filed Feb. 17, 2018, now U.S. Pat.No. 10,712,929, claiming the benefit of U.S. Provi sional Application No. 62/460,861 entitled ARTIFICIAL SWARM INTELLIGENCE WITH AD APTIVE CONFIDENCE CALIBRATION, filed Feb. 19, 2017 andalso claiming the benefit of U.S. Provisional Application No. 62/473,442 entitled ARTIFICIAL SWARMINTELL IGENCE WITH ADAPTIVE CONFIDENCE CALIBRATION, filed Mar. 19, 2017, which is a continuation-in-part of U.S. application Ser. No. 15/815,579 entitled SYSTEMS AND M ETHODS FORHYBRID SWARM INTELLIGENCE, filed Nov. 16, 2017, now U.S. Pat. No. 10, 439,836, claiming thebenefit of U.S. Provisional Application No. 62/423,402 ent itled SYSTEM AND METHOD FOR HYBRIDSWARM INTELLIGENCE filed Nov. 17, 2016, which is a continuation-in-part of U.S. application Ser.No. 15/640,145 entitled METH ODS AND SYSTEMS FOR MODIFYING USER INFLUENCE DURING ACOLLABORATIVE SESSION OF R EAL-TIME COLLABORATIVE INTELLIGENCE, filed Jun. 30, 2017,now U.S. Pat. No. 10,3 53,551, claiming the benefit of U.S. Provisional Application No. 62/358,026 entitled METHODS AND SYSTEMS FOR AMPLIFYING THE INTELLIGENCE OF A HUMAN-BASED ARTIFICIAL SWARM INTELLIGENCE filed Jul. 3, 2016, which is a continuation-in-part of U .S. applicationSer. No. 15/241,340 entitled METHODS FOR ANALYZING DECISIONS MAD E BY REAL-TIME COLLECTIVEINTELLIGENCE SYSTEMS, filed Aug. 19, 2016, now U.S. Pa t. No. 10,222,961, claiming thebenefit of U.S. Provisional Application No. 62/2 07,234 entitled METHODS FOR ANALYZING THE DECISIONSMADE BY REAL-TIME COLLECTIVE INTELLIGENCE SYSTEMS filed Aug. 19, 2015, whichis a continuation-in-part of U. S. application Ser. No. 15/199,990 entitled METHODS AND SYSTEMSFOR ENABLING A C REDIT ECONOMY IN A REAL-TIME COLLABORATIVE INTELLIGENCE, filedJul. 1, 2016, cla iming the benefit of U.S. Provisional Application No. 62/187,470 entitled METHODS AND SYSTEMS FOR ENABLING A CREDIT ECONOMY IN A REAL-TIME SYNCHRONOUS COLLABORATIVE SYSTEM filed Jul. 1, 2015, which is a continuation-in-part of U.S. applicat ion Ser. No.15/086,034 entitled SYSTEM AND METHOD FOR MODERATING REAL-TIME CLOS ED-LOOP COLLABORATIVEDECISIONS ON MOBILE DEVICES, filed Mar. 30, 2016, now U.S. Pat. No. 10,310,802,claiming the benefit of U.S. Provisional Application No. 6 2/140,032 entitled SYSTEM AND METHODFOR MODERATING A REAL-TIME CLOSED-LOOP COLL ABORATIVE APPROVAL FROM A GROUPOF MOBILE USERS filed Mar. 30, 2015, which is a continuation-in-part of U.S. patent application Ser.No. 15/052,876, filed Feb. 25, 2016, entitled DYNAMIC SYSTEMS FOR OPTIMIZATION OF REALTIMECOLLABORATIVE I NTELLIGENCE, now U.S. Pat. No. 10,110,664, claiming the benefit of U.S.Provisio nal Application No. 62/120,618 entitled APPLICATION OF DYNAMIC RESTORING FORCESTO OPTIMIZE GROUP INTELLIGENCE IN REAL-TIME SOCIAL SWARMS, filed Feb. 25, 2015, whichis a continuation-in-part of U.S. application Ser. No. 15/047,522 entitled SYSTEMS AND METHODSFOR COLLABORATIVE SYNCHRONOUS IMAGE SELECTION, filed Feb. 1 8, 2016, now U.S. Pat.No. 10,133,460, which in turn claims the benefit of U.S. Provisional Application No. 62/117,808 entitledSYSTEM AND METHODS FOR COLLABORA TIVE SYNCHRONOUS IMAGE SELECTION, filed Feb.18, 2015, which is a continuation-i n-part of U.S. application Ser. No. 15/017,424 entitled ITERATIVESUGGESTION MOD ES FOR REAL-TIME COLLABORATIVE INTELLIGENCE SYSTEMS, filed Feb. 5,2016 which in turn claims the benefit of U.S. Provisional Application No. 62/113,393 entitled SYSTEMSAND METHODS FOR ENABLING SYNCHRONOUS COLLABORATIVE CREATIVITY AND DECIS IONMAKING, filed Feb. 7, 2015, which is a continuation-in-part of U.S. applicat ion Ser. No. 14/925,837entitled MULTI-PHASE MULTI-GROUP SELECTION METHODS FOR R EAL-TIME COLLABORATIVEINTELLIGENCE SYSTEMS, filed Oct. 28, 2015, now U.S. Pat. No. 10,551,999, which in turn claimsthe benefit of U.S. Provisional Application No. 62/069,360 entitled SYSTEMS AND METHODS FORENABLING AND MODERATING A MASSI VELY-PARALLEL REAL-TIME SYNCHRONOUS COLLABORATIVESUPER-INTELLIGENCE, filed Oct. 28, 2014, which is a continuation-in-part of U.S. applicationSer. No. 14/920,8 19 entitled SUGGESTION AND BACKGROUND MODES FOR REAL-TIMECOLLABORATIVE INTELLIG ENCE SYSTEMS, filed Oct. 22, 2015, now U.S. Pat. No. 10,277,645,which in turn c laims the benefit of U.S. Provisional Application No. 62/067,505 entitled SYSTEM ANDMETHODS FOR MODERATING REAL-TIME COLLABORATIVE DECISIONS OVER A DISTRIBUTEDNETWORKS, filed Oct. 23, 2014, which is a continuation-in-part of U.S. applicat ion Ser. No. 14/859,035entitled SYSTEMS AND METHODS FOR ASSESSMENT AND OPTIMIZA TION OF REAL-TIME COL-LABORATIVE INTELLIGENCE SYSTEMS, filed Sep. 18, 2015, now U .S. Pat. No. 10,122,775, which inturns claims the benefit of U.S. Provisional A pplication No. 62/066,718 entitled SYSTEM AND METHODFOR MODERATING AND OPTIMIZI NG REAL-TIME SWARM INTELLIGENCES, filed Oct. 21, 2014,which is a continuation-i n-part of U.S. patent application Ser. No. 14/738,768 entitled INTUITIVEINTERFA CES FOR REAL-TIME COLLABORATIVE INTELLIGENCE, filed Jun. 12, 2015, now U.S.Pat. No. 9,940,006, which in turn claims the benefit of U.S. Provisional Application 62/012,403 entitledINTUITIVE INTERFACE FOR REAL-TIME COLLABORATIVE CONTROL, fi led Jun. 15, 2014, which isa continuation-in-part of U.S. application Ser. No. 14/708,038 entitled MULTI-GROUP METHODS ANDSYSTEMS FOR REAL-TIME MULTI-TIER COL LABORATIVE INTELLIGENCE, filed May 8, 2015, whichin turn claims the benefit of U.S. Provisional Application 61/991,505 entitled METHODS AND SYSTEMFOR MULTI-TI ER COLLABORATIVE INTELLIGENCE, filed May 10, 2014, which is a continuation-in-part of U.S. patent application Ser. No. 14/668,970 entitled METHODS AND SYSTEMS F OR REAL-TIMECOLLABORATIVE INTELLIGENCE, filed Mar. 25, 2015, now U.S. Pat. No. 9,959,028, which in turnclaims the benefit of U.S. Provisional Application 61/9 70,885 entitled METHOD AND SYSTEM FORENABLING A GROUPWISE COLLABORATIVE CONSCIO USNESS, filed Mar. 26, 2014, all of which areincorporated in their entirety her ein by reference.”

    Patent Issued for System and method for simultaneous multilingual dubbing of vid eo-audio programs (USPTO 11942093)

    137-139页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Dubbing of videos with dialog in a language different from that of the active speakers is difficult andcumbersome. It is often done by hu man voice-over in order to synchronize the translated speech patternsto the spe aker’s lip movements and to closely reproduce the speaker’s original intonation and emphasis.Good voice actors are expensive, and Oscar-winning voice actors si mply do not exist.

    Patent Application Titled 'Systems And Methods For Safe Operation Of Robots' Pub lished Online (USPTO 20240100702)

    142-146页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“A robot is generally defined as a reprogrammable and multifun ctional manipulator designed to movematerial, parts, tools, and/or specialized devices (e.g., via variable programmed motions) for performingtasks. Robots may include manipulators that are physically anchored (e.g., industrial robotic arm s), mobiledevices that move throughout an environment (e.g., using legs, wheels , or traction-based mechanisms),or some combination of one or more manipulators and one or more mobile devices. Robots are currentlyused in a variety of indus tries, including, for example, manufacturing, warehouse logistics, transportation, hazardous environments, exploration, and healthcare.”

    Researchers Submit Patent Application, 'Robot And Adjustment Method For Suspensi on System Of Robot', for Approval (USPTO 20240100901)

    146-151页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Intelligent warehousing is an important part of a logistic s process. Application of the intelligent warehousingensures quick and accurate data input in all parts of warehouse management. In this way, enterprisescan l earn real inventory data timely and accurately, thereby properly maintaining and controlling inventoryof the enterprises.

    Researchers Submit Patent Application, 'Substrate Inspection System And A Method Of Use Thereof', for Approval (USPTO 20240102169)

    152-154页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:““Technical Field“The present disclosure relates to a glass and wafer inspection system, and more particularly the presentdisclosure relates to a camera-based inspection system and a method for inspecting film deposition processfor glass and wafers.“Description of Related Technology“Glasses and wafers referred to hereinafter as a substrate, are coated with a va riety of coatings toenhance their mechanical, chemical, optical, electric, magn etic, or other properties. Typically, one ormore thin films are deposited on th e substrate by one of several known processes, such as chemical vapordeposition (CVD) which is a common process for depositing thin films on substrates.”

    Researchers Submit Patent Application, 'Evaluation Method', for Approval (USPTO 20240104908)

    154-156页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:““Field“The present disclosure relates to an evaluation technique of an image analysis system.“Description of the Related Art“With the development of a machine learning technique, there are also increasing numbers of systemsequipped with the machine learning technique. Conventionally , there have been proposed methods for evaluating the accuracy of the machine le arning technique. For example, “Information Retrieval-C. J.van Rijsbergen, 1979 ” discloses a method to quantitatively evaluate the parameter-dependent accuracyby using evaluation indices such as precision and recall.

    'Arrayed Vacuum End Of Arm Tool' in Patent Application Approval Process (USPTO 2 0240100720)

    156-158页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “This invention relates generally to a device fo r use in production and packaging thatcan selectively move products between sta tions in a packaging or similar industrial and/or manufacturingprocess.

    Patent Issued for Call graphs for telecommunication network activity detection ( USPTO 11943386)

    158-161页
    查看更多>>摘要:From the background information supplied by the inventors, news correspondents o btained the followingquote: “Machine learning in computer science is the scient ific study and process of creating algorithmsbased on data that perform a task without any specific instructions. These algorithms are called modelsand differ ent types of models can be created based on the type of data that the model take s as inputand also based on the type of task (e.g., prediction, classification, or clustering) that the model is tryingto accomplish. The general approach to machine learning involves using the training data to create themodel, testing t he model using the cross-validation and testing data, and then deploying the mod el tobe used by real-world applications.”

    Researchers Submit Patent Application, 'Systems And Methods For Intelligent Load Balancing Of Hosted Sessions', for Approval (USPTO 20240106886)

    164-169页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Different machines may provide a cloud service that hosts hosted sessions (e.g., virtual desktop sessions)in which client devices connect with the machines and the machines provide virtual desktops to the connectedcl ient devices. Interactions with the hosted machines from a mouse and keyboard pr ovided viaa communication protocol to the machines allow users to interact with the virtual desktops despite not being co-located with the machines themselves. Individual machines may host one or more multiple hostedsessions with client d evices contemporaneously. However, given the different and/or limited resource capacity between the machines, the user experiences of the hosted sessions may de grade significantly asclient devices connect to the machines for hosted session s.”

    Patent Issued for Edible soft robotic systems and methods (USPTO 11938630)

    169-171页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“The present disclosure relates generally to the field of a musement parks. More specifically, embodimentsof the present disclosure relate to systems and methods for providing and enhancing amusement parkexperiences re lated to edible soft robotic systems.