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    Data from Moscow Institute of Physics and Technology Advance Knowledge in Machin e Learning (Optimal Data Splitting In Distributed Optimization for Machine Learn ing)

    86-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromDolgoprudnyi, Russia, by NewsRx jour nalists, research stated, “The distributed optimization problem hasbecome incre asingly relevant recently. It has a lot of advantages such as processing a large amount ofdata in less time compared to non-distributed methods.”Financial support for this research came from Russian Science Foundation (RSF).

    Reports Outline Intelligent Systems Findings from Xi’an University of Posts and Telecommunications (An Optimization Method of Human Skeleton Keyframes Selection for Action Recognition)

    87-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning - Inte lligent Systems is now available. According tonews reporting originating in Sha anxi, People’s Republic of China, by NewsRx journalists, research stated,“In th e action recognition field based on the characteristics of human skeleton joint points, the selectionof keyframes in the skeleton sequence is a significant iss ue, which directly affects the action recognitionaccuracy. In order to improve the effectiveness of keyframes selection, this paper proposes inflection pointf rames, and transforms keyframes selection into a multi-objective optimization pr oblem based on it.”

    New Data from University of Technology of Compiegne Illuminate Research in Robot ics (Closed-Loop Optical Tracking of a Micro- Conveyor over a Smart Surface)

    88-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ro botics. According to news reporting from theUniversity of Technology of Compieg ne by NewsRx journalists, research stated, “In this work, a closedloop control system is developed to optically localize and track micro-robots with high preci sion. Thesemicro-robots (i.e., micro-conveyors) are in motion simultaneously ac ross a smart surface.”

    Findings from Arizona State University Broaden Understanding of Robotics (Bio-in spired Rotational Penetration and Horizontal Selfburrowing Soft Robot)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news originatingfrom Tempe, Arizona, by NewsRx co rrespondents, research stated, “Inspired by self-burial seeds andburrowing amph isbaenians, we experimentally explored the effect of rotation on vertical and ho rizontalpenetration resistance in shallow sands; we then integrated the finding s with previously identified burrowingprinciples to design a soft, horizontal b urrowing robot. A rotational penetration system was developed byintegrating a s ix-axis robotic arm with custom motorized penetrators and corresponding control and dataacquisition units.”

    Researcher at Johannes Kepler University Publishes Research in Robotics (Analysi s of electrical resistance tomography measurements for fast force localization)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news originatingfrom Linz, Austria, by NewsRx c orrespondents, research stated, “Safe human-robot collaboration requiresthe rob ot to monitor the location and intensity of a potential contact force.”Financial supporters for this research include Linz Center of Mechatronics.

    Study Data from School of Electronics Update Knowledge of Robotics (Insect-scale fast moving and ultra-load-carrying robot)

    90-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ro botics. According to news originating from theSchool of Electronics by NewsRx c orrespondents, research stated, “The load capacity of small robots playsa cruci al role in practical applications.”Our news journalists obtained a quote from the research from School of Electroni cs: “Drawing inspirationfrom biological load-carrying mechanisms, a crawling ro bot based on piezoelectric bending isproposed. It is an insect-scale piezoelect ric-driven crawling robot with a load capacity of 100.4 times itsweight, which is the highest measured among published insect-scale robots. The robot was desig ned andfabricated in a monolithic manner, enhancing the assembly efficiency of the robot. It weighs only 0.68g and has a length of only 40 mm. The robot can a chieve rapid movement and jumping by using twodifferent driving methods. Its ma ximum forward speed is 7.77 BL/s (body lengths per second), and it canreach a f orward speed of 1 BL/s under a load of 41.6 g, the maximum load of the robot is 68.24 g.”

    Research from University of Baghdad Broadens Understanding of Machine Learning ( Forecasting Cryptocurrency Market Trends with Machine Learning and Deep Learning )

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting fromthe University of Baghdad by NewsRx journalists, research stated, “Cryptocurrency became an importantpartici pant on the financial market as it attracts large investments and interests.”The news reporters obtained a quote from the research from University of Baghdad : “With this vibrantsetting, the proposed cryptocurrency price prediction tool stands as a pivotal element providing direction toboth enthusiasts and investor s in a market that presents itself grounded on numerous complexities of digitalcurrency. Employing feature selection enchantment and dynamic trio of ARIMA, LST M, Linear Regressiontechniques the tool creates a mosaic for users to analyze d ata using artificial intelligence towards forecastsin real-time crypto universe . While users navigate the algorithmic labyrinth, they are offered a vast andgl ittering selection of high-quality cryptocurrencies to select. The ability of th e tool in analyzing pastdata on historical prices combined with machine learnin g, orchestrate an appealing scene of predictionsequipped with choices and infor mation, users turn into the main characters in a financial discovery storycondu cted by the cryptocurrency system. The numerical results also support the effect iveness of thetool as highlighted by standout corresponding numbers such as low er RMSE value 150.96 for ETH andminimized normalized RMSE scaled down to under, which is.”

    Tokai University Researcher Provides New Insights into Robotics (Qualitative Res earch of Robot-Helping Behaviors in a Field Trial)

    92-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ro botics. According to news reporting originatingfrom Hiratsuka, Japan, by NewsRx correspondents, research stated, “During the previous field study with arobot and its interaction with mall visitors, we observed a surprising event during wh ich a leaflet-distributingrobot was abused, although it was subsequently helped by one of its previous abusers.”

    Recent Findings from Vellore Institute of Technology Has Provided New Informatio n about Machine Learning (Diagnosing Faults In Suspension System Using Machine L earning and Feature Fusion Strategy)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Chennai, India, by NewsRx journ alists, research stated, “Comfort and safety in automobiles canbe enhanced with predictive maintenance by means of early problem detection and isolation, colle ctivelyreferred to as fault diagnosis. To maintain a lead position in automotiv e industry, fleet managers areturning to predictive analysis.”

    Study Results from Shanghai Jiao Tong University Provide New Insights into Robot ics (Simultaneous identification of geometric parameters and structural stiffnes s of serial robots composing flexible links)

    94-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news reporting originatingfrom Shanghai, People’s Republ ic of China, by NewsRx correspondents, research stated, “It has been aformidabl e challenge to accurately predict the pose of serial robots composing flexible l inks due to thedifficulties in simultaneously considering geometric errors and link flexibility.”