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    Researchers at Instituto de Astrofisica de Canarias Publish New Data on Machine Learning (A machine learning method to infer clusters of galaxies mass radial pr ofiles from mock Sunyaev-Zel’dovich maps with The Three Hundred clusters)

    125-125页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news originatingfrom the Instituto de Astrofisic a de Canarias by NewsRx editors, the research stated, “Our study introducesa ne w machine learning algorithm for estimating 3D cumulative radial profiles of tot al and gas mass ingalaxy clusters from thermal Sunyaev-Zel’dovich (SZ) effect m aps.”

    University of California Researchers Report Recent Findings in Artificial Intell igence (Recent progress of artificial intelligence for liquidvapor phase change heat transfer)

    125-126页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to news reportingoriginating from the Univers ity of California by NewsRx correspondents, research stated, “Artificial intelligence (AI) is shifting the paradigm of two-phase heat transfer research.”Financial supporters for this research include United States Department of Defen se | United StatesNavy | Office of Naval Research; Nsf | Eng/oad | Division of Chemical, Bioengineering, Environmental,And Transport Systems.

    Reports on Robotics and Automation from Shanghai Jiao Tong University Provide Ne w Insights (Rftrans: Leveraging Refractive Flow of Transparent Objects for Surfa ce Normal Estimation and Manipulation)

    126-127页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics - Robotics an d Automation is the subject of a report.According to news reporting out of Shan ghai, People’s Republic of China, by NewsRx editors, researchstated, “Transpare nt objects are widely used in our daily lives, making it important to teach robo ts tointeract with them. However, it’s not easy because the reflective and refr active effects can make depthcameras fail to give accurate geometry measurement s.”

    Researchers Submit Patent Application, 'Surgical Robotic System', for Approval ( USPTO 20240099795)

    127-130页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Minimally-invasive surgery (MIS), such as laparoscopic sur gery, involves techniques intended to reducetissue damage during a surgical pro cedure. For example, laparoscopic procedures typically involve creatinga number of small incisions in the patient (e.g., in the abdomen), and introducing one o r more surgicaltools (e.g., end effectors and endoscope) through the incisions into the patient. The surgical proceduresmay then be performed using the introd uced surgical tools, with the visualization aid provided by theendoscope.

    Patent Issued for Method for and system for generating an object prioritization list for physical transfer (USPTO 11942214)

    130-132页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“In addition to providing a physical and virtual space for obj ects at a physical location, providers mayalso physically transfer such objects to users. As a result, systems configured for physically transferringobjects t o users may result in a poor user experience; especially if the user experience is directed to metricsthat indicate that the user is somehow better than others , or that they should be favored and/or receivesuperior service over others as a function of purchasing power or habits.”

    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.

    Researchers Submit Patent Application, 'Item Matching And Pricing Based On Histo rical Pricing Data And Classification Of Parties To Related Transactions', for A pproval (USPTO 20240104626)

    139-142页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“A number of e-commerce sites, also known as online marketp laces, exist where users can sell their items.Conventionally, in order to sell on these sites, users must manually create listings for offering their itemsfor sale. The quality of such listings can vary greatly, and may depend on a number of factors, such as theuser’s experience creating listings, the information th e user has on the item (such as make, model, brand,size, color, features, etc.) , the user’s photo taking skills, whether the user is rushed when creating the listing, whether this is the first time the user has ever tried to sell an item o f this type, etc. Since a wellconstructedlisting will increase the likelihood that the associated item will sell, it would be advantageousif computer technol ogy could be employed to enhance and standardize the quality of listings.

    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.