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    Study Findings on Artificial Intelligence Described by Researchers at University of Lubeck (A systemic perspective on bridging the principles-to-practice gap in creating ethical artificial intelligence solutions - a critique of dominant ... )

    73-74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 ar tificial intelligence. According to news reportingoriginating from Lubeck, Germ any, by NewsRx correspondents, research stated, “We critique demands inartifici al intelligence and technology development for bridging the so-called principles -to-practice gap thatare voiced for instrumental reasons, such as accelerating adoption or creating trust, via clearly actionable ethical rules or via outsourc ed guidance offered by ethics ‘experts.’ We contend that these views are pronet o amount to a simple reconfiguration of technical implementation.”

    Reports from National Institute of Horticultural Research Describe Recent Advanc es in Machine Learning (The Changes in Color and Image Parameters and Sensory At tributes of Freeze-Dried Clones and a Cultivar of Red-Fleshed Apples)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Skierniewice, Poland, by NewsRx editors, research stated, “The target of breeding redfleshedapples is to increase their potential health benefits related to red flesh color ation and consumeracceptance.”

    Data on Artificial Intelligence Reported by Jim Hartman and Colleagues (Recommen dations for the Development of Artificial Intelligence Applications for the Reta il Level)

    75-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting from Columbus, Ohio, b y NewsRx editors, the research stated, “Some of the early applicationsof artifi cial intelligence (AI) for food safety appear to be intended for use at the leve l of manufacturingand distribution. Artificial intelligence applications to fac ilitate foodborne illness outbreak investigations,development of HACCP plans, a nd food safety root cause analyses at the retail level are needed.”

    Recent Studies from British University of Egypt Add New Data to Machine Learning (Experimentally Validated Dynamic Equivalent Circuit Model of Perovskite Solar Cells: Utilizing Machine Learning Algorithms for Parameter Extraction Using ...)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Machine Lea rning. According to news reporting out of Cairo,Egypt, by NewsRx editors, resea rch stated, “This article presents a novel approach for parameter extractionand optimization of perovskite solar cells (PSCs) using a hybrid random forest (RF) machine learning modelintegrated with a neural network algorithm. We validated our model’s accuracy through experiments ona fabricated cesium lead chloride p erovskite cell, characterizing it under one Sun conditions and diffusedlight in jection.”

    Study Data from Hunan University Update Knowledge of Artificial Intelligence (Ar tificial Intelligence In Rechargeable Battery: Advancements and Prospects)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating in Changsh a, People’s Republic of China, by NewsRx journalists, researchstated, “Advanced rechargeable battery technologies are the primary source of energy storage, whi ch holdsignificant promise for tackling energy challenges. However, the progres s of these technologies is affectedby various factors, including technical and capital investment challenges.”

    Findings on Machine Learning Detailed by Investigators at Federation University Australia (Advanced Predictive Modelling of Electrical Resistivity for Geotechni cal and Geo-environmental Applications Using Machine Learning Techniques)

    78-79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 originatingfrom Ballarat, Australia, by NewsRx correspondents, research stated, “Electrical Resistivity (ER)is one of t he best geophysical methods for subsurface investigation, especially for geotech nical and geoenvironmentalstudies. Being non-invasive, economical and rapid, t his method is highly preferable togeotechnical engineers for continuous evaluat ion of soil properties along the resistivity profile.”

    Study Data from University of Edinburgh Provide New Insights into Machine Learni ng (Understanding Solid Nitrogen Through Molecular Dynamics Simulations With a M achine-learning Potential)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on Machine Learning is now available. According to news reporting from Edinburgh,United Kingdom, by NewsRx journalis ts, research stated, “We construct a fast, transferable, generalpurpose, machin e-learning interatomic potential suitable for largescale simulations of N-2. The potentialis trained only on high quality quantum chemical molecule-molecule in teractions; no condensed phaseinformation is used.”

    New Study Findings from Gauhati University Illuminate Research in Artificial Int elligence (Application Of Density-Based Clustering Approaches For Stock Market A nalysis)

    80-80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 ar tificial intelligence. According to news originatingfrom Assam, India, by NewsR x correspondents, research stated, “ABSTRACTPresent economy is largelydependent on the precise forecasting of the business avenues using the stock market data. As the stockmarket data falls under the category of big data, the task of hand ling becomes complex due to the presenceof a large number of investment choices .”

    Studies in the Area of Traffic Engineering Reported from Purdue University (Netw ork Macroscopic Fundamental Diagram-informed Graph Learning for Traffic State Im putation)

    81-81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 Engineering - Traffic Engineering have been published. Accordingto news reporting originatin g in West Lafayette, Indiana, by NewsRx journalists, research stated,“Traffic s tate imputation refers to the estimation of missing values of traffic variables, such as flow rateand traffic density, using available data. It furnishes compr ehensive traffic context for various operationtasks such as vehicle routing, an d enables us to augment existing datasets (e.g., PeMS, UTD19, UberMovement) for diverse theoretical and practical investigations.”

    New Machine Learning Data Have Been Reported by Researchers at York University ( Backtest Overfitting In the Machine Learning Era: a Comparison of Out-of-sample Testing Methods In a Synthetic Controlled Environment)

    82-82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 Machine Learn ing have been published. According to newsreporting from Toronto, Canada, by Ne wsRx journalists, research stated, “We present a comprehensiveframework to asse ss these methods, considering the unique characteristics of financial data like nonstationarity,autocorrelation, and regime shifts. Through our analysis, we u nveil the marked superiorityof the Combinatorial Purged (CPCV) method in mitiga ting overfitting risks, outperforming traditionalmethods as evidenced by its lo wer Probability of Backtest Overfitting (PBO) and superior Deflated SharpeRatio (DSR) test statistic.”