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    Researchers from University of California Berkeley Detail Findings in Artificial Intelligence (Artificial Intelligence, Firm Growth, and Product Innovation)

    19-20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 Artificial Intelligence. According to news reportingoriginating in Berkeley, California, by NewsRx journalists, research stated, “We study the use and economicimpact of AI technologies. We propose a new measure of firm-level AI investments using employee resumes.”The news reporters obtained a quote from the research from the University of California Berkeley, “Ourmeasure reveals a stark increase in AI investments across sectors. AI-investing firms experience highergrowth in sales, employment, and market valuations. This growth comes primarily through increasedproduct innovation. Our results are robust to instrumenting AI investments using firms’ exposure touniversities’ supply of AI graduates. AI-powered growth concentrates among larger firms and is associatedwith higher industry concentration.”

    Northeastern University Reports Findings in Robotics (Bioinspired Multifunctional Self-Sensing Actuated Gradient Hydrogel for Soft- Hard Robot Remote Interaction)

    20-21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 subject of a report. According to news reportingoriginating in Shenyang, People’s Republic of China, by NewsRx journalists, research stated, “The developmentof bioinspired gradient hydrogels with self-sensing actuated capabilities for remote interaction withsoft-hard robots remains a challenging endeavor. Here, we propose a novel multifunctional self-sensingactuated gradient hydrogel that combines ultrafast actuation and high sensitivity for remote interactionwith robotic hand.”

    Study Results from East China University of Science and Technology Broaden Understanding of Machine Learning (Machine-learningguided Engineering of an Nadh-dependent 7b-hydroxysteroid Dehydrogenase for Economic Synthesis of Ursodeoxycholic Acid)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Enzymaticsynthesis of ursodeoxycholic acid (UDCA) catalyzed by an NADH-dependent 7 beta-hydroxysteroiddehydrogenase (7 beta-HSDH) is more economic compared with an NADPH-dependent 7 beta-HSDH whenconsidering the much higher cost of NADP(+)/NADPH than that of NAD(+)/NADH. However, the poorcatalytic performance of NADH-dependent 7 beta-HSDH significantly limits its practical applications.”

    Lorraine University Researcher Publishes New Study Findings on Machine Learning (Towards Optimizing Multi-Level Selective Maintenance via Machine Learning Predictive Models)

    22-23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 artificial intelligence. According to news reportingfrom Metz, France, by NewsRx journalists, research stated, “The maintenance strategies commonly employedin industrial settings primarily rely on theoretical models that often overlook the actual operatingconditions.”The news correspondents obtained a quote from the research from Lorraine University: “To addressthis limitation, the present paper introduces a novel selective predictive maintenance approach based on amachine learning model for a multi-parallel series system, which involves executing multiple missions withbreaks between them. For this purpose, the proposed selective maintenance approach consists of finding,at each breakdown, the optimal structure of maintenance activities that provide the desired reliability levelof the system for each mission. This decision is based on a component’s actual age, as determined by theprediction model.”

    University Medical Center Utrecht Reports Findings in Bacterial Infections and Mycoses (Point-of-Care neutrophil and monocyte surface markers differentiate bacterial from viral infections at the emergency department within 30 minutes)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Bacterial Infections and Mycoses is the subject of a report. Accordingto news reporting out of Utrecht, Netherlands, by NewsRx editors, research stated, “Rapid discriminationbetween viral and bacterial infections in a Point-of-Care setting will improve clinical outcome. Expressionof CD64 on neutrophils (neuCD64) increases during bacterial infections, whereas expression of CD169 onclassical monocytes(cmCD169) increases during viral infections.”

    New Machine Learning Study Findings Has Been Reported by a Researcher at K.N. Toosi University of Technology (A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal ...)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intelligence have been published. According to newsoriginating from Tehran, Iran, by NewsRx correspondents, research stated, “The accurate mapping of croptypes is crucial for ensuring food security. Remote Sensing (RS) satellite data have emerged as a promisingtool in this field, offering broad spatial coverage and high temporal frequency.”

    Studies from University of Paris Update Current Data on Machine Learning (Machine-learning Derived Algorithms for Prediction of Radiographic Progression In Early Axial Spondyloarthritis)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have been published. According to news reporting fromParis, France, by NewsRx journalists, research stated, “To compare machine learning (ML) to traditionalmodels to predict radiographic progression in patients with early axial spondyloarthritis (axSpA). We carriedout a prospective French multicentric DESIR cohort study with 5 years of follow-up that included patientswith chronic back pain for <3 years, suggestive of axSpA.”

    Recent Studies from University of Southampton Add New Data to Machine Learning (The Impact of Forum Content On Data Science Open Innovation Performance: a System Dynamics-based Causal Machine Learning Approach)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Southampton, United Kingdom, by NewsRx correspondents, research stated, “Open innovationin data science generally takes the form of public competitions where teams exchange messagesand solutions by competing and collaborating simultaneously. Team behaviours are widely heterogeneousin terms of the performance of their solutions and the participation in knowledge creation.”

    Researchers from Universidad de La Salle Publish Findings in Machine Learning (Performance estimation technique for solar-wind hybrid systems: A machine learning approach)

    27-28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 artificial intelligence is now available. According to news reportingfrom Bogota, Colombia, by NewsRx journalists, research stated, “This study introduces a novel methodto assess solar-wind hybrid energy systems, utilizing data analysis for key metrics (Performance Yields YR,Capacity Factor CF, and Performance Ratio PR), focused on their uncertainties estimation.”

    University of Waterloo Reports Findings in Androids (Estimating speaker direction on a humanoid robot with binaural acoustic signals)

    27-27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 - Androids is the subject of a report. According to newsreporting originating in Waterloo, Canada, by NewsRx journalists, research stated, “To achieve human-likebehaviour during speech interactions, it is necessary for a humanoid robot to estimate the location of ahuman talker. Here, we present a method to optimize the parameters used for the direction of arrival(DOA) estimation, while also considering real-time applications for human-robot interaction scenarios.”Financial support for this research came from Natural Sciences and Engineering Research Council ofCanada.