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    "Automated Customization Virtual Ecosystem" in Patent Application Approval Proce ss (USPTO 20240282209)

    166-169页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventor S HENKAN, Sara (Forth Worth, TX, US), filed on February 16, 2024, was made availab le online on August 22, 2024, according to news reporting originating from Washi ngton, D.C., by NewsRx correspondents. This patent application is assigned to Just Right Reader Inc. (Fort Worth, Texas , United States). The following quote was obtained by the news editors from the background information supplied by the inventors: "Interactive reading can be a dynamic approach t o storytelling and education in which multi-media elements and user input are in tegrated to create an immersive or customizable experience. The interactive read ing can be enabled by technical platforms such as eBooks, applications, websites , or virtual reality. The technical platforms can allow users to make choices th at influence a story. In educational settings, the technical platforms can prese nt educational elements such as quiz questions, animations, or other suitable el ements which enhance learning experiences. It can be desirable to improve and pe rsonalize interactive reading environments, particularly in educational settings , to improve user experience and create engaging, effective digital learning env ironments."

    Researchers Submit Patent Application, "Automated Traying Of Finished Mail", for Approval (USPTO 20240279017)

    169-174页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Dickie, Matthew O. (Sandy Hook, CT, US); Edel, Eddy (New Milford, CT, US); Masotta, John Robert (Newtown, CT, US); Padros, Xavier A. (New Milford, CT, US); Rozenfeld, Boris (Danbury, CT, US); Yap, Anthony E. (Palmyra, PA, US), filed on January 26, 2024, was made ava ilable online on August 22, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Direct mail is an important tool for businesses to communi cate with customers. In various mass mailing preparations, a mail package may in clude one or more documents, which may be folded and/or combined with cards or o ther inserts, all of which must be inserted into an envelope, which is sealed, a ddressed, and stamped for mailing. As such, many businesses turn to mailpiece fa brication systems, such as mailpiece inserters and mailpiece wrappers, to period ically produce a large volume of mail.

    Patent Application Titled "Systems and Methods for Creating an Interactive Knowl edge Base Using Interactive Chat Machine Learning Models" Published Online (USPT O 20240281677)

    174-179页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntor Mifflin, Matthew (Bloomington, IL, US), filed on September 6, 2023, was mad e available online on August 22, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Generally speaking, communication systems may involve a varie ty of components operating together to perform various communication operations. These systems, and the corresponding operations, may be incredibly complex, and may require significant knowledge and experience to maintain steady, reliable p erformance and/or to provide accurate, relevant information to those requesting information regarding such systems. In fact, system users/operators conventional ly may spend years accumulating the necessary body of knowledge and/or experienc e required to serve as a "subject matter expert" related to one component/subsys tem of a larger communication system.

    Patent Application Titled "Machine Learning Optimization Circuit And Method Ther eof" Published Online (USPTO 20240281209)

    179-182页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors DU, Cheng-Yan (Taoyuan City, TW); TSAI, Chieh-Fu (Taoyuan City, TW); YANG, Chia-Hsiang (Taoyuan City, TW), filed on July 25, 2023, was made available onli ne on August 22, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: " "Field of Disclosure "The present disclosure relates to a machine learning optimization circuit and a method thereof. "Description of Related Art "For current machine learning technology, convolution calculation is often compl ex and complicated, which often consumes a lot of resources and time. In view of this, it is necessary to improve the convolution calculation in terms of hardwa re or software to achieve acceleration of the convolution calculation. However, the current technology is not yet mature for the acceleration of the convolution calculation, and there are still many deficiencies. In addition, the data movem ent amount of partial sums and reuse of data are also issues that need to be fur ther considered in the convolution calculation."

    Cluster Buster: A Machine Learning Algorithm for Genotyping SNPs from Raw Data

    183-183页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-According to news reporting based on a preprint a bstract, our journalists obtained the following quote sourced from biorxiv.org: "Genotyping single nucleotide polymorphisms (SNPs) is fundamental to disease res earch, as researchers seek to establish links between genetic variation and dise ase. Although significant advances in genome technology have been made with the development of bead-based SNP genotyping and Genome Studio software, some SNPs s till fail to be genotyped, resulting in \"nocalls\ " that impede downstream analyses. "To recover these genotypes, we introduce Cluster Buster, a genotyping neural ne twork and visual inspection system designed to improve the quality of neurodegen erative disease (NDD) research. Concordance analysis with whole genome sequencin g (WGS) and imputed genotypes validated the reliability of predicted genotypes, with dozens of high-performing SNPs across LRRK2, APOE, and GBA loci achieving at least 90% concordance per SNP location. Further analysis of conc ordance between Genome Studio genotypes and imputed and WGS genotypes revealed d iscrepancies between the genotyping technologies, highlighting the need for sele ctive application of Cluster Buster on SNP locations based on concordance rates. Cluster Buster\'s implementation significantly reduce s manual labor for recovering no-call SNPs, refining genotype quality for the Gl obal Parkinson\'s Genetics Program (GP2).