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    Touching the future: Mastering physical contact with new algorithm for robots

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Penn Engineers have developed a new algorithm that allows robots to react to complex physical contact in real time, making it possible for autonomous robots to succeed at previously impossible tasks, like cont rolling the motion of a sliding object.

    Researcher at Brandenburg University of Technology Publishes Research in Robotics (A Graph-Refinement Algorithm to Minimize Squared Delivery Delays Using Parcel Robots)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. According to news reporting from Cottbus, Germany, by NewsRx journalists, research stated, “In recent years, parcel volumes have reached record highs, prompting the logistics industry to explore innovative solutions to meet growing demand. In densely populated areas, delivery robots offer a promising alternative to traditional truck-based delivery systems.”

    Researchers from University of Granada Detail Findings in Computational Intelligence (Probabilistic Combination of Non-linear Eigenprojections for Ensemble Clas sification)

    3-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning - Computational Intelligence have been presented. According to news reporting out of Granada, Spain, by NewsRx editors, research stated, “The emergence of new techn ologies has changed the way clinicians perform diagnosis. Medical imaging play a crucial role in this process, given the amount of information that they usually provide as non-invasive techniques.”

    Research from Inonu University Has Provided New Data on Machine Translation (Efficient Adaptation: Enhancing Multilingual Models for Low-Resource Language Trans lation)

    4-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on machine translation are presented in a new report. According to news reporting from Malatya, Turkey, by NewsRx journalists, research stated, “This study focuses on the neural machine t ranslation task for the TR-EN language pair, which is considered a low-resource language pair. We investigated fine-tuning strategies for pre-trained language m odels.”

    Recent Findings from University of Nebraska-Lincoln Highlight Research in Robotics [Targeted weed management of Palmer amaranth using robotic s and deep learning (YOLOv7)]

    5-6页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on robotics. According to news originating from Lincoln, Nebraska, by NewsRx correspo ndents, research stated, “Effective weed management is a significant challenge in agronomic crops which necessitates innovative solutions to reduce negative env ironmental impacts and minimize crop damage.”

    IRCCS Centro Neurolesi Bonino-Pulejo Reports Findings in Multiple Sclerosis (Improving manual dexterity using ergonomic wearable glove in patients with multiple sclerosis: A quasi-randomized clinical trial)

    6-7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 Autoimmune Diseases and Conditions - Multiple Sclerosis is the subject of a report. According to news reporting from Messina, Italy, by NewsRx journalists, research stated, “One main problem faced by people with multiple sclerosis (PwMS) is upper limb dysfunctio n, which can occur in the first decade of the disease and with the highest preva lence of disability in the progressive type of the disease. Then, PwMS may benef it from personalised and intensive treatment as provided by robotic devices.”

    East China Normal University Reports Findings in Breast Cancer [Preoperative discrimination of invasive and non-invasive breast cancer using mac hine learning based on automated breast volume scanning (ABVS) radiomics and vir tual touch ...]

    7-8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 Oncology - Breast Cancer is the subject of a report. According to news reporting originating in Anhui, People’s Republic of China, by NewsRx journalists, research stated, “Evaluating the efficacy of machine learning for preoperative differentiation between invas ive and noninvasive breast cancer through integrated automated breast volume sc anning (ABVS) radiomics and virtual touch quantification (VTQ) techniques. We co nducted an extensive retrospective analysis on a cohort of 171 breast cancer pat ients, differentiating them into 124 invasive and 47 non-invasive cases.”

    Karolinska Institute Researchers Have Published New Study Findings on Machine Learning (Methodological choices and clinical usefulness for machine learning predictions of outcome in Internetbased cognitive behavioural therapy)

    8-8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 artificial intelligence. According to news reporting originating from the Karoli nska Institute by NewsRx correspondents, research stated, “While psychological t reatments are effective, a substantial portion of patients do not benefit enough . Early identification of those may allow for adaptive treatment strategies and improved outcomes.”

    Data on Robotics Detailed by Researchers at Zhejiang University of Technology (Tsan: a New Deep Learning-based Detection Method for Sensor Anomaly In Mobile Robots)

    9-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been presented. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “In the area of robotic systems, the det ection of anomalies is a crucial capability for achieving long-term autonomy (LT A) of robots, as this capability ensures the stable operation of robots over ext ended periods. Adversary can launch injection attacks to interfere with various sensors, including speed and acceleration, thereby inducing abnormalities into the robot’s operation.”

    Chinese Academy of Sciences Reports Findings in Robotics (Reinforcement Learning With Decoupled State Representation for Robot Manipulations)

    10-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news reporting originating from Anhui, People’s Republic of China, by NewsRx correspondents, research stated, “Deep reinforcement learning has significantly advanced robot manipulations by providing an alternative solut ion for designing control strategies using raw images as direct inputs. While im ages offer additional environmental information, the end-to-end policy training manner (from image to action) requires simultaneous representation and task lear ning by the agent.”