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    'Go Around Detection' in Patent Application Approval Process (USPTO 20240386804)

    201-203页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “The present disclosure relates to aviation, and more specifically, to determining that anaircraft has initiated a missed appro ach or a go-around at a particular airport.

    'Go Around Detection' in Patent Application Approval Process (USPTO 20240386804)

    201-203页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “The present disclosure relates to aviation, and more specifically, to determining that anaircraft has initiated a missed appro ach or a go-around at a particular airport.

    Patent Application Titled 'Adaptive Learning System for Improving Sump Pump Cont rol' Published Online (USPTO 20240384724)

    203-206页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“A sump pump is a type of pump used to remove water that has a ccumulated in a lower level (e.g., abasement, a ground floor level, a sub-groun d floor level, etc.) of a property (e.g., a home, an office,or any other buildi ng or structure). The sump pump sends the water into pipes that lead away from the property so that potential lower-level flooding may be avoided. As such, fail ures in the sump pumpcan have disastrous consequences including water damages a nd insurance losses. However, sump pumpfailures often occur without prior warni ng or may not be discovered until significant damage has alreadybeen done. Unfo rtunately, many currently available sump pump systems are not designed or equipp ed toautomatically detect impending sump pump failures, or remedy such failures even if they are detected.”

    Patent Application Titled 'Adaptive Learning System for Improving Sump Pump Cont rol' Published Online (USPTO 20240384724)

    203-206页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“A sump pump is a type of pump used to remove water that has a ccumulated in a lower level (e.g., abasement, a ground floor level, a sub-groun d floor level, etc.) of a property (e.g., a home, an office,or any other buildi ng or structure). The sump pump sends the water into pipes that lead away from the property so that potential lower-level flooding may be avoided. As such, fail ures in the sump pumpcan have disastrous consequences including water damages a nd insurance losses. However, sump pumpfailures often occur without prior warni ng or may not be discovered until significant damage has alreadybeen done. Unfo rtunately, many currently available sump pump systems are not designed or equipp ed toautomatically detect impending sump pump failures, or remedy such failures even if they are detected.”

    Patent Application Titled 'Apparatus, System, And Method For Growing And Harvest ing Living Matter' Published Online (USPTO 20240381816)

    206-211页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“Conventional methods for growing, harvesting, and distributin g feed for animals includes growing andharvesting seed at one location, and dis tributing feed to animals at another remote location. The distributionof the fe ed commonly requires transportation of the feed over long distances. Additionall y, feedfor animals is conventionally grown outdoors in the ground.”

    Patent Application Titled 'Apparatus, System, And Method For Growing And Harvest ing Living Matter' Published Online (USPTO 20240381816)

    206-211页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“Conventional methods for growing, harvesting, and distributin g feed for animals includes growing andharvesting seed at one location, and dis tributing feed to animals at another remote location. The distributionof the fe ed commonly requires transportation of the feed over long distances. Additionall y, feedfor animals is conventionally grown outdoors in the ground.”

    Machine learning outcompetes human assessment in identifying eggs of a conspecif ic brood parasite

    211-211页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Avian brood parasitism provides an exceptional system for studying coevolution. While conspecificbrood parasitism (CBP) is more common than interspecific para sitism, it is less studied due to the challengeof detecting parasitic eggs, whi ch closely resemble those of the host. Although molecular genotyping canaccurat ely detect CBP, its high cost has led researchers to explore egg appearance as a more accessiblealternative. Barn swallows (Hirundo rustica) are considered con specific brood parasites, but identifyingparasitic eggs has traditionally relie d on human visual assessment. Here, we used UV-visible photographsof non-parasi tized barn swallow clutches and simulated parasitism to compare the accuracy of humanassessment with automated methods.

    Machine learning outcompetes human assessment in identifying eggs of a conspecif ic brood parasite

    211-211页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Avian brood parasitism provides an exceptional system for studying coevolution. While conspecificbrood parasitism (CBP) is more common than interspecific para sitism, it is less studied due to the challengeof detecting parasitic eggs, whi ch closely resemble those of the host. Although molecular genotyping canaccurat ely detect CBP, its high cost has led researchers to explore egg appearance as a more accessiblealternative. Barn swallows (Hirundo rustica) are considered con specific brood parasites, but identifyingparasitic eggs has traditionally relie d on human visual assessment. Here, we used UV-visible photographsof non-parasi tized barn swallow clutches and simulated parasitism to compare the accuracy of humanassessment with automated methods.