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    Data on Diabetes Mellitus Reported by Yina Zhou and Colleagues (Construction and evaluation of a metabolic correlation diagnostic model for diabetes based on ma chine learning algorithms)

    84-85页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - New research on Nutritional and Metabolic Disease s and Conditions - Diabetes Mellitus is the subject of a report. According to ne ws originating from Hangzhou, People’s Republic of China, by NewsRx corresponden ts, research stated, “Diabetes mellitus (DM) is a prevalent chronic disease mark ed by significant metabolic dysfunctions. Understanding its molecular mechanisms is vital for early diagnosis and treatment strategies.”
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    New Machine Learning Research Has Been Reported by a Researcher at Chongqing Jia otong University (Recent Development in Intelligent Compaction for Asphalt Pavem ent Construction: Leveraging Smart Sensors and Machine Learning)

    85-86页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Researchers detail new data in artific ial intelligence. According to news reporting out of Chongqing, People’s Republi c of China, by NewsRx editors, research stated, “Intelligent compaction (IC) has emerged as a breakthrough technology that utilizes advanced sensing, data trans mission, and control systems to optimize asphalt pavement compaction quality and efficiency. However, accurate assessment of compaction status remains challengi ng under real construction conditions.”
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    Recent Research from University of Burdwan Highlight Findings in Machine Learnin g (Application of Machine Learning and Emerging Remote Sensing Techniques In Hyd rology: a State-of-the-art Review and Current Research Trends)

    86-87页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Machine Learning is th e subject of a report. According to news reporting out of West Bengal, India, by NewsRx editors, research stated, “Water, one of the most valuable resources on Earth, is the subject of the study of hydrology, which is of utmost importance. Satellite remote sensing (RS) has emerged as a critical tool for comprehending E arth and atmospheric dynamics, including hydrology.”
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    Researchers from Xinjiang University Report on Findings in Robotics (Memory-base d Soft Actor-critic With Prioritized Experience Replay for Autonomous Navigation )

    87-88页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators discuss new findings in Robotics. According to news reporting originating from Urumqi, People’s Republic of China, by NewsRx correspondents, research stated, “Due to random sampling an d the unpredictability of moving obstacles, it remains challenging for mobile ro bots to effectively learn navigation policies and accomplish obstacle avoidance safely. Overcoming such challenges can reduce the time cost required for navigat ion model training and validation, improving the safety and credibility of auton omous navigation in medical service and industrial patrol.”
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    University of Leon Reports Findings in Artificial Intelligence (The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review)

    88-89页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Ponferrada, Spain , by NewsRx journalists, research stated, “Falls and their consequences are a se rious public health problem worldwide. Each year, 37.3 million falls requiring m edical attention occur.” The news correspondents obtained a quote from the research from the University o f Leon, “Therefore, the analysis of fall risk is of great importance for prevent ion. Artificial intelligence (AI) represents an innovative tool for creating pre dictive statistical models of fall risk through data analysis. The aim of this r eview was to analyze the available evidence on the applications of AI in the ana lysis of data related to postural control and fall risk. A literature search was conducted in 6 databases with the following inclusion criteria: the articles ha d to be published within the last 5 years (from 2018 to 2024), they had to apply some method of AI, AI analyses had to be applied to data from samples consistin g of humans, and the analyzed sample had to consist of individuals with independ ent walking with or without the assistance of external orthopedic devices. We ob tained a total of 3858 articles, of which 22 were finally selected. Data extract ion for subsequent analysis varied in the different studies: 82% ( 18/22) of them extracted data through tests or functional assessments, and the r emaining 18% (4/22) of them extracted through existing medical rec ords. Different AI techniques were used throughout the articles. All the researc h included in the review obtained accuracy values of >70 % in the predictive models obtained through AI. The use of AI prov es to be a valuable tool for creating predictive models of fall risk.”
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    Patent Application Titled 'Automatic Cleaning Device' Published Online (USPTO 20 240130595)

    89-95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 CHENG, Pan (Beijing, CN); DUAN, Chuanlin (Beijing, CN); LI, Xing (Beijing, CN); LIU, Jungang (Beijing, CN); YANG, Fan (Beijing, CN); YANG, Zhimin (Beijing , CN), filed on February 9, 2022, was made available online on April 25, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Currently, there are two main types of cleaning robots, that is, a ground sweeping robot and a ground mopping robot. The ground sweeping robo t or the ground mopping robot has a single function, and may only be used for sw eeping or mopping a ground. If it is desired to sweep and mop the ground at the same time, the two apparatus have to be prepared at the same time, occupying a d ouble space.
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    'Detecting and Correcting Anomalies in Computer-Based Reasoning Systems' in Pate nt Application Approval Process (USPTO 20240135206)

    95-98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 H azard, Christopher James (Raleigh, NC, US), filed on October 23, 2023, was made available online on April 25, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Many systems are controlled by machine learning systems. A common issue with such systems, however, is that when there is an an omalous outcome, such as a system failure, unexpected action, etc., there is no way to know why the system acted in the manner in which it did. For example, in a machine learning system to detect letters or numbers in images, tens or hundre ds of thousands of training data (e.g., pictures along with coded letters or num bers) might be used to train the system. The system can then be used to act on i ncoming images to find letters and numbers in those images. At times, those outc omes might be anomalous. For example, the system may “find” letters or numbers t hat are not actually in the images, find incorrect letters or numbers, or fail t o find letters or numbers in the images.
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    Patent Issued for Systems and methods for managing a financial account in a low- cash mode (USPTO 11966891)

    98-103页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A patent by the inventors Alfaro, Fern ando (Sewickley, PA, US), Bowers, Urich T. (Brideville, PA, US), McDade, Mecal ( New Alexandria, PA, US), Moore, Jeremy (Pittsburgh, PA, US), Tkach, Todd (Wexfor d, PA, US), filed on January 4, 2021, was published online on April 23, 2024, ac cording to news reporting originating from Alexandria, Virginia, by NewsRx corre spondents. Patent number 11966891 is assigned to The PNC Financial Services Group Inc. (Pit tsburgh, Pennsylvania, United States).
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    Patent Issued for Radially stacked actuator (USPTO 11967882)

    103-107页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventors Fleury, Paul Gloninger (Austin, TX , US), Fox, Jonas Alexan (Austin, TX, US), Paine, Nicholas Arden (Austin, TX, US ), filed on December 7, 2022, was published online on April 23, 2024. The patent’s assignee for patent number 11967882 is Apptronik Inc. (Austin, Texa s, United States).
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    Researchers Submit Patent Application, 'Overload Impact-Resistant Planetary Redu cer, Robot Joint, And Quadruped Robot', for Approval (USPTO 20240133454)

    107-111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 WANG, Xingxing (Hangzhou C ity, CN); YANG, Zhiyu (Hangzhou City, CN), filed on November 30, 2021, was made available online on April 25, 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: “At present, legged robots inevitably fall or are hit by ot her objects in the external environment during walking. When these situations oc cur, the external impact will be transmitted to the inside of the robot joint, c ausing overload impact to transmission components such as gears inside the joint , resulting in structural damage and leading to the situation that the robot can not work properly. Therefore, an overload impact protection structure is needed to absorb energy during overload impact, thus protecting transmission components such as gears.
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