首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    National Institute for Pharmaceutical Research and Development Reports Findings in Artificial Intelligence (Exploring the matrix: knowledge, perceptions and prospects of artificial intelligence and machine learning in Nigerian healthcare)

    76-77页
    查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting out of Abuja, Nigeria, by NewsRx editors, research stated, “Artificial intelligence technology can be applied in several aspects of healthcare delivery and its integration into the Nigerian healthcare value chain is expected to bring about new opportunities. This study aimed at assessing the knowledge and perception of healthcare professionals in Nigeria regarding the application of artificial intelligence and machine learning in the health sector.” Our news journalists obtained a quote from the research from National Institute for Pharmaceutical Research and Development, “A cross-sectional study was undertaken amongst healthcare professionals in Nigeria with the use of a questionnaire. Data were collected across the six geopolitical zones in the Country using a stratified multistage sampling method. Descriptive and inferential statistical analyses were undertaken for the data obtained. Female participants (55.7%) were slightly higher in proportion compared to the male respondents (44.3%). Pharmacists accounted for 27.7% of the participants, and this was closely followed by medical doctors (24.5%) and nurses (19.3%). The majority of the respondents (57.2%) reported good knowledge regarding artificial intelligence and machine learning, about a third of the participants (32.2%) were of average knowledge, and 10.6% of the sample had poor knowledge. More than half of the respondents (57.8%) disagreed with the notion that the adoption of artificial intelligence in the Nigerian healthcare sector could result in job losses. Two-thirds of the participants (66.7%) were of the view that the integration of artificial intelligence in healthcare will augment human intelligence. Threequarters (77%) of the respondents agreed that the use of machine learning in Nigerian healthcare could facilitate efficient service delivery. This study provides novel insights regarding healthcare professionals’ knowledge and perception with respect to the application of artificial intelligence and machine learning in healthcare.”
      原文链接:
    • NETL
    • NSTL
    • Frontiers Media Sa

    Researchers Submit Patent Application, 'Delivery And Gathering System Comprising A Microrobot', for Approval (USPTO 20240033020)

    77-80页
    查看更多>>摘要：From Washington, D.C., NewsRx journalists report that a patent application by the inventors DUPLAT, Bertrand (Paris, FR); FRANCOIS, Quentin (Paris, FR); OULMAS, Ali (Paris, FR), filed on December 16, 2021, was made available online on February 1, 2024. The patent’s assignee is Robeaute (Paris, France). News editors obtained the following quote from the background information supplied by the inventors: “Medical microrobots and nanorobot, including wired microrobots/nanorobot, are becoming a fundamental diagnostic and therapeutic tool of medicine regarding situations in which it is necessary to get to hard too reach locations through difficult micro-intrusive routes. “However, the autonomy of those microrobots or nanorobots is low and does not enable the robot to travel far enough or long enough in order to reach specific hard to reach locations located deep inside the brain and not at the periphery thereof.
      原文链接:
    • NETL
    • NSTL

    Patent Application Titled 'Aerial View Generation for Vehicle Control' Published Online (USPTO 20240034350)

    81-84页
    查看更多>>摘要：According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventor Zhou, Mianwei (Cupertino, CA, US), filed on March 2, 2023, was made available online on February 1, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Vehicles are now capable of self-driving with different levels of autonomy. Each of these levels is characterized by the relative amount of human and autonomous control. For example, The Society of Automotive Engineers (SAE) defines 6 levels of driving automation ranging from 0 (fully manual) to 5 (fully autonomous). These levels have been adopted by the U.S. Department of Transportation. Autonomous vehicles provide numerous advantages including: (1) lowering the number of vehicles on the roads (most privately owned vehicles are driven a small fraction of the time); (2) more predictable and safer driving behavior than human driven vehicles; (3) less emissions if there are fewer vehicles on the road, and they are electrically powered; (4) improved fuel efficiency if they are electric vehicles; (5) increased lane capacity; (6) shorter travel times; and (7) increased mobility for users who are incapable of diving.
      原文链接:
    • NETL
    • NSTL

    Patent Issued for Methods and systems for customizing treatments (USPTO 11887735)

    84-86页
    查看更多>>摘要：A patent by the inventors Neumann, Kenneth (Lakewood, CO, US), filed on October 31, 2022, was published online on January 30, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11887735 is assigned to Kpn Innovations Llc. (Lakewood, Colorado, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: “Frequently, treatments are arbitrarily recommended based on current trends and stale literature. On occasion, uninformed treatment selection and implementation leads to adverse effects that create further harm as opposed to solving an underlying problem. Currently, there lacks measures that can detect and recommend treatments that are customized and unique to each individual.” In addition to the background information obtained for this patent, NewsRx journalists also obtained the inventors’ summary information for this patent: “In an aspect a system for customizing treatments, the system comprising a computing device, the computing device designed and configured to record a user biological extraction containing an element of user physiological data. The computing device further configured to receive, from a remote device operated by a user, an implementation factor. The computing device further configured to calculate a condition state label as a function of the user physiological data. The computing device further configured to select a treatment training set according to the condition state label, wherein the treatment training set further comprises a plurality of condition state labels and a plurality of correlated treatments. The computing device further configured to generate a treatment model, using a second machine-learning algorithm and the treatment training set, wherein the treatment model utilizes condition state labels as inputs and outputs treatments, wherein generating the treatment model further includes calculating a treatment category selector as a function of the implementation factor, wherein the implementation factor is a factor that indicates a user preference pertaining to different treatment practices. The computing device further configured to output a treatment utilizing the treatment model.
      原文链接:
    • NETL
    • NSTL

    Researchers Submit Patent Application, 'Systems And Methods For Providing Dynamic Communicative Lighting In A Robotic Environment', for Approval (USPTO 20240033951)

    87-90页
    查看更多>>摘要：From Washington, D.C., NewsRx journalists report that a patent application by the inventors AHEARN, Kevin (Nebo, NC, US); ALLEN, Thomas (Reading, MA, US); DAWSON-HAGGERTY, Michael (Pittsburgh, PA, US); GEYER, Christopher (Arlington, MA, US); KOLETSCHKA, Thomas (Cambridge, MA, US); MARONEY, Kyle (North Attleboro, MA, US); MASON, Matthew T. (Pittsburgh, PA, US); PRICE, Gene Temple (Cambridge, MA, US); ROMANO, Joseph (Arlington, MA, US); SMITH, Daniel (Canonsburg, PA, US); SRINIVASA, Siddhartha (Seattle, WA, US); VELAGAPUDI, Prasanna (Pittsburgh, PA, US); WAGNER, Thomas (Concord, MA, US), filed on October 5, 2023, was made available online on February 1, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information supplied by the inventors: “The invention generally relates to robotic systems, and relates in particular, to robotic systems that are used in an environment involving human activity.
      原文链接:
    • NETL
    • NSTL

    Patent Issued for Selective video conference segmentation (USPTO 11889221)

    90-93页
    查看更多>>摘要：A patent by the inventors Agrawal, Amit Kumar (Bangalore, IN), Ryan, Bill (Libertyville, IL, US), Vacura, Daniel M. (Chicago, IL, US), Vanhoof, Jeffrey S. (Gurnee, IL, US), filed on May 27, 2022, was published online on January 30, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11889221 is assigned to Motorola Mobility LLC (Chicago, Illinois, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: “The modern work model is in the midst of a paradigm shift from the traditional in-person setting to working from home or remotely. As such, in today’s intercommunication context, video conferences and events which include remote participants who are connected virtually have become commonplace. Video conferences remove the traditional confines associated with in-person meetings and increase flexibility by allowing participants who would otherwise be unable or unwilling to attend in-person to be present. However, current ways for enabling individual communication within a video conferencing setting are limited and can reduce flexibility and offset the benefits associated with video conferences.”
      原文链接:
    • NETL
    • NSTL

    Researchers Submit Patent Application, 'Methods And Systems For Explaining Artificial Intelligence And Machine Learning', for Approval (USPTO 20240037427)

    93-97页
    查看更多>>摘要：From Washington, D.C., NewsRx journalists report that a patent application by the inventors BARR, Brian (Schenectady, NY, US); BRUSS, Christopher Bayan (Washington, DC, US); HUANG, Jocelyn (Purcellville, VA, US); SHARPE, Samuel (Cambridge, MA, US); VERMA, Sahil (San Francisco, CA, US), filed on July 26, 2022, was made available online on February 1, 2024. The patent’s assignee is Capital One Services LLC (McLean, Virginia, United States). News editors obtained the following quote from the background information supplied by the inventors: “Explainable artificial intelligence or machine learning (XAI) includes a set of methods that allows human users to understand why certain results or output was generated by a machine learning model. XAI may be used to explain a machine learning model’s reasoning and characterize the strengths and weaknesses of the model’s decision-making process. XAI may be necessary to establish trust in the output generated by machine learning models. For example, for ethical reasons, legal reasons, and to increase trust, a doctor may need to understand why a machine learning model is recommending a particular procedure for a patient.”
      原文链接:
    • NETL
    • NSTL

    Researchers Submit Patent Application, 'Systems And Methods For Presenting Image Classification Results', for Approval (USPTO 20240040074)

    97-100页
    查看更多>>摘要：From Washington, D.C., NewsRx journalists report that a patent application by the inventors DUAN, Yue (Allen, TX, US); HO, Chi-San (Allen, TX, US); PRICE, Micah (The Colony, TX, US), filed on October 3, 2023, was made available online on February 1, 2024. The patent’s assignee is Capital One Services LLC (McLean, Virginia, United States). News editors obtained the following quote from the background information supplied by the inventors: “Image classification models may be used to classify or categorize images based on their parameters and/or extracted attributes. Using machine learning methods, such as convolutional neural networks (CNNs), it is possible to categorize images. For example, images may be manipulated to be run in a CNN to either recognize or classify the images. Further, CNNs or-similar machine learning methods-may be employed to extract image parameters that are then correlated with other parameters or attributes for classification. These methods can be powerful to identify or categorize images because the correlations can be highly accurate. Moreover. CNNs may be updated or retrained frequently to accurately capture image parameters.
      原文链接:
    • NETL
    • NSTL

    Patent Issued for Automotive electrical connector features for robotic installation (USPTO 11888262)

    101-103页
    查看更多>>摘要：Aptiv Technologies Limited (St. Michael, Barbados) has been issued patent number 11888262, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent’s inventors are Brantingham, Duane Lee (Cortland, OH, US), Peterson, David R. (Aurora, OH, US), Sudik, Jr., Joseph (Niles, OH, US). This patent was filed on December 11, 2020 and was published online on January 30, 2024. From the background information supplied by the inventors, news correspondents obtained the following quote: “An electrical connector typically comprises a housing having at least a portion of a wire cable disposed therein. The electrical connector is electrically connected to another electrical system (e.g., a corresponding electrical connector) and the connection is secured by a connector position assurance (CPA) feature (a clip, a latch, etc.). Manual installation of electrical connectors by a human installer can be time consuming and costly, particularly for less experienced human installers and for more complex installation projects. Automated installation by a robotic installer may be preferable to manual human installation due to increased speed and decreased costs. The robotic installer, however, must be able to accurately identify the electrical connector and obtain movable control of it in order to complete the robotic installation. Complex visual scanning systems could be utilized by the robotic installer, but this could further increase costs. Accordingly, while conventional electrical connectors and conventional robotic installers work well for their intended purpose, an opportunity exists for improvement in the art of robotic installation of electrical connectors.
      原文链接:
    • NETL
    • NSTL

    Patent Application Titled 'Location-Based Assignment Of Shopper- Location Pairs' Published Online (USPTO 20240037588)

    103-107页
    查看更多>>摘要：According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Anand, Radhika (Sunnyvale, CA, US); Chang, Rockson (Somerville, MA, US); Chen, Michael (San Francisco, CA, US); Dou, Aaron (Santa Clara, CA, US); Sampat, Ajay (San Francisco, CA, US); Sturm, Nicholas (Denver, CO, US); Yin, Licheng (Burlingame, CA, US); Zhang, Chen (San Jose, CA, US), filed on July 29, 2022, was made available online on February 1, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Online shopping concierge platforms may link shoppers with customers, enabling customers to request and receive products located at various remote geographic locations. To increase the efficiency of such platforms, customers, shoppers, and locations may be matched based on a wide variety of criteria, and/or the like.”
      原文链接:
    • NETL
    • NSTL