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    ANYmal can do parkour and walk across rubble

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – ANYmal has for some time had no proble m coping with the stony terrain of Swiss hiking trails. Now researchers at ETH Z urich have taught this quadrupedal robot some new skills: it is proving rather a dept at parkour, a sport based on using athletic manoeuvres to smoothly negotiat e obstacles in an urban environment, which has become very popular. ANYmal is al so proficient at dealing with the tricky terrain commonly found on building site s or in disaster areas.

    Findings on Artificial Intelligence Discussed by Investigators at University of Vaasa (Learning From Success and Failure: Implications for Entrepreneurs, Smes, and Policy)

    2-2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 Ar tificial Intelligence. According to news reporting originating from Vaasa, Finla nd, by NewsRx correspondents, research stated, “Despite the valuable contributio ns of earlier learning studies, the specific analysis of how entrepreneurs and s mall- and medium-sized enterprises (SMEs) learn has been sidelined in the litera ture. Significant research opportunities remain open in various unexplored realms.”

    Gansu Provincial Hospital Reports Findings in Gastric Cancer (Systemic inflammat ory response index is a predictor of prognosis in gastric cancer patients: Retro spective cohort and meta-analysis)

    3-4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 - Gastric Can cer is the subject of a report. According to news reporting out of Lanzhou, Peop le’s Republic of China, by NewsRx editors, research stated, “The systemic inflam matory response index (SIRI) has been demonstrated to make a significant differe nce inassessing the prognosis of patients with different solid neoplasms. Howev er, research is needed to ascertainthe accuracy and reliability of applying the SIRI to patients who undergo robotic radical gastric cancer surgery.”

    Findings from Hebei University of Technology Provides New Data about Robotics (R esearch On Dual Robot Collaboration Method Based On Improved Double Ant Colony A lgorithm)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Robotics are presented in a new rep ort. Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key R&D Program of Hebei Province, Hebei Provin ce Higher Education Science and Technology Research Project.

    Studies from Texas A&M University Have Provided New Information abo ut Robotics (Connectivity-preserving Distributed Informative Path Planning for M obile Robot Networks)

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    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 Ro botics. According to news originating from Corpus Christi, Texas, by NewsRx corr espondents, research stated, “This letter addresses the distributed informative path planning (IPP) problem for a mobile robot network to optimally explore a sp atial field. Each robot is able to gather noisy environmental measurements while navigating the environment and build its own model of a spatial phenomenon usin g the Gaussian process and local data.” Financial support for this research came from National Science Foundation (NSF).

    New Neural Computation Data Has Been Reported by a Researcher at Graduate School of Medicine (CA3 Circuit Model Compressing Sequential Information in Theta Osci llation and Replay)

    5-6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 neural computation is the subject of a new report. According to news reporting originating from the Gr aduate School of Medicine by NewsRx correspondents, research stated, “The hippoc ampus plays a critical role in the compression and retrieval of sequential infor mation.” Our news correspondents obtained a quote from the research from Graduate School of Medicine: “During wakefulness, it achieves this through theta phase precessio n and theta sequences. Subsequently, during periods of sleep or rest, the compre ssed information reactivates through sharp-wave ripple events, manifesting as me mory replay. However, how these sequential neuronal activities are generated and how they store information about the external environment remain unknown. We de veloped a hippocampal cornu ammonis 3 (CA3) computational model based on anatomi cal and electrophysiological evidence from the biological CA3 circuit to address these questions. The model comprises theta rhythm inhibition, place input, and CA3-CA3 plastic recurrent connection. The model can compress the sequence of the external inputs, reproduce theta phase precession and replay, learn additional sequences, and reorganize previously learned sequences.”

    Findings from Aalto University Reveals New Findings on Robotics and Automation ( Benchmarking the Sim-to-real Gap In Cloth Manipulation)

    6-7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 Ro botics - Robotics and Automation. According to news reporting from Espoo, Finlan d, by NewsRx journalists, research stated, “Realistic physics engines play a cru cial role for learning to manipulate deformable objects such as garments in simu lation. By doing so, researchers can circumvent challenges such as sensing the d eformation of the object in the real-world.” Financial support for this research came from Research Council of Finland.

    Researcher from New York University (NYU) Provides Details of New Studies and Fi ndings in the Area of Artificial Intelligence (Generative Artificial Intelligenc e to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Fo rmat)

    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 study results on artificial intell igence have been published. According to news reporting originating from New Yor k City, New York, by NewsRx correspondents, research stated, “Importance: By law , patients have immediate access to discharge notes in their medical records. Te chnical language and abbreviations make notes difficult to read and understand f or a typical patient. Large language models (LLMs [eg, GPT-4] ) have the potential to transform these notes into patient-friendly language and format.”

    Bauman Moscow State Technical University Researcher Has Published New Study Find ings on Machine Learning (Mechanical Testing of Selective-Laser-Sintered Polyami de PA2200 Details: Analysis of Tensile Properties via Finite Element Method and ...)

    8-9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 ar tificial intelligence. According to news reporting out of Moscow, Russia, by New sRx editors, research stated, “This study delves into the mechanical characteris tics of polyamide PA2200 components crafted using selective laser sintering (SLS ) technology.” Our news reporters obtained a quote from the research from Bauman Moscow State T echnical University: “Our primary objective is to analyze the tensile behavior o f the components printed at various orientations, showing its response to divers e loading conditions. Finite element method (FEM) modeling was employed to analy ze the tensile behavior of these details.”

    University of Virginia Reports Findings in Artificial Intelligence (Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tubercu losis Treatment in Africa: Algorithm Development and Validation)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting originating in Charlottesville, V irginia, by NewsRx journalists, research stated, “Artificial intelligence (AI) a pplications based on advanced deep learning methods in image recognition tasks c an increase efficiency in the monitoring of medication adherence through automat ion. AI has sparsely been evaluated for the monitoring of medication adherence i n clinical settings.”