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    "Automated Evaluation of Free-Form Answers and Generation of Actionable Feedback to Multidimensional Reasoning Questions" in Patent Application Approval Process (USPTO 20240054909)

    148-151页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A patent application by the inventors Bakken, Sar a (Houston, TX, US); Newstadt, Michelle (Pittsburgh, PA, US); Rosen, Yigal (Broo kline, MA, US); Rushkin, Ilia P. (Cambridge, MA, US), filed on August 15, 2023, was made available online on February 15, 2024, according to news reporting orig inating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to BrainPOP IP LLC (New York, New York, Unit ed States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Students often interact with computerized learn ing platforms by typing text answers into response fields of a graphical user in terface. To evaluate the student's response, various platforms may automatically apply a list of rubrics to the entered text. However, the scores or grades appl ied by computerized learning platforms based on such rubrics can vary significan tly from the grade or score that would be applied manually (e.g., by a teacher). For example, depending upon the ability level of child learners, the responses will often be "low quality" in terms of formatting (e.g., typographical mistakes , erratic use of punctuation, unorthodox syntaxis, misuse of words having relate d meanings, etc.). Additionally, rubrics typically estimate use of language (e.g ., correctness and sufficient complexity of grammar or vocabulary), while approp riate focus for grading or scoring answers related to various subjects instead r equire that the responses relate to the appropriate subject and present the corr ect logical construction.

    Patent Application Titled "Robotic Surgical Systems" Published Online (USPTO 202 40050177)

    151-154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 Hagn, Ulrich (Muenchen, DE); Wolff, Reiner (Inning, DE), filed on November 19, 2020, was made available online on February 15, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Robotic surgical systems have been used in minimally invasive medical procedures. Some robotic surgical systems include a console linked to a surgical robotic arm and a surgical instrument mounted to the robotic arm. The surgical instrument may have an elongated shaft that supports at least one end e ffector (e.g., forceps or a grasping tool) on a distal end thereof. In some robo tic surgical systems, the entire length of the elongated shaft of the surgical i nstrument must pass through a holder or other feature of the robotic arm, thereb y making removal or exchange of the surgical instrument from the robotic arm cum bersome. "Manually-operated surgical instruments often include a handle assembly for actu ating the functions of the surgical instrument; however, when using a robotic su rgical system, no handle assembly is typically present to actuate the functions of the end effector. It is the robotic arm of the robotic surgical system that p rovides mechanical power to the surgical instrument for its operation and moveme nt. Each robotic arm may include an instrument drive unit that is operatively co nnected to the surgical instrument and slidably coupled to the robotic arm."

    Patent Issued for System for real-time identification of unauthorized access (US PTO 11900674)

    154-158页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A patent by the inventors Bryant, Matthew K. (Gas tonia, NC, US), filed on July 8, 2021, was published online on February 13, 2024 , according to news reporting originating from Alexandria, Virginia, by NewsRx c orrespondents. Patent number 11900674 is assigned to Bank of America Corporation (Charlotte, No rth Carolina, United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Triggering event logging and monitoring is a pr ocess that entities perform by examining electronic logs for indications that un authorized security-related activities have been attempted or performed on a sys tem or application that processes, transmits, or stores confidential information . Most triggering event logging and monitoring happened in a decentralized manne r where teams dedicate resources to monitor and log triggering event specific to them. This often results in teams being removed from observing a potential larg er issue (e.g., misappropriate activity).

    Patent Issued for Controlling interactive fashion based on facial expressions (U SPTO 11900506)

    158-161页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Snap Inc. (Santa Monica, California, U nited States) has been issued patent number 11900506, according to news reportin g originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Berger, Itamar (Hod Hasharon, IL), Dudovitch, Gal (Te l Aviv, IL), Sasson, Gal (Kibbutz Ayyelet Hashahar, IL), Shuvi, Ma'ayan (Tel Avi v, IL), Zohar, Matan (Rishon LeZion, IL). This patent was filed on September 9, 2021 and was published online on February 13, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: "Augmented-Reality (AR) is a modification of a virt ual environment. For example, in Virtual Reality (VR), a user is completely imme rsed in a virtual world, whereas in AR, the user is immersed in a world where vi rtual objects are combined or superimposed on the real world. An AR system aims to generate and present virtual objects that interact realistically with a real- world environment and with each other. Examples of AR applications can include s ingle or multiple player video games, instant messaging systems, and the like."

    Decoding proteome functional information in model organisms using protein langua ge models

    161-162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 based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: "The gap between sequence information and experimental determination of function in proteins is currently unsolvable. The computational and automatic implementa tion of function prediction is not significantly improving function assignment, so there is a pressing need to find alternative methods, since standard approach es are not able to bridge the gap. Modern machine learning methods have been rec ently developed to predict function, being deep neural convolutional networks a popular choice. Protein language models have been also tested and proved reliabl e in curated datasets, but have not been applied yet to full collections of cura ted proteomes. "We have tested how two different machine learning based methods perform when de coding the functional information from proteomes of selected model organisms. "We found that the protein Language Models are more precise and informative acro ss gene ontology categories for all the species, recovering functional informati on from transcriptomics experiments.

    Using runs of homozygosity and machine learning to disentangle sources of inbree ding and infer self-fertilization rates

    162-162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 based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: "Runs of homozygosity (ROHs) are indicative of elevated homozygosity and inbreed ing due to mating of closely related individuals. Self-fertilization can be a ma jor source of inbreeding which elevates genomewide homozygosity and thus should also create long ROHs. While ROHs are frequently used to understand inbreeding in the context of conservation and selective breeding, as well as for consanguin ity of populations and their demographic history, it remains unclear how ROH cha racteristics are altered by selfing and if this confounds expected signatures of inbreeding due to demographic change. "Using simulations, we study the impact of the mode of reproduction and demograp hic history on ROHs. We apply random forests to identify unique characteristics of ROHs, indicative of different sources of inbreeding. We pinpoint distinct fea tures of ROHs that can be used to better characterize the type of inbreeding the population was subjected to and to predict outcrossing rates and complex demogr aphic histories.