查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting originating in Las Cruces, New Mexic o, by NewsRx journalists, research stated, "This study evaluates the performance of multiple machine learning (ML) algorithms and electrical resistivity (ER) ar rays for inversion with comparison to a conventional Gauss-Newton numerical inve rsion method. Four different ML models and four arrays were used for the estimat ion of only six variables for locating and characterizing hypothetical subsurfac e targets." Financial support for this research came from United States Department of Energy (DOE). The news reporters obtained a quote from the research from New Mexico State Univ ersity, "The combination of dipole-dipole with Multilayer Perceptron Neural Netw ork (MLP-NN) had the highest accuracy. Evaluation showed that both MLP-NN and Ga uss-Newton methods performed well for estimating the matrix resistivity while ta rget resistivity accuracy was lower, and MLP-NN produced sharper contrast at tar get boundaries for the field and hypothetical data. Both methods exhibited compa rable target characterization performance, whereas MLP-NN had increased accuracy compared to GaussNewton in prediction of target width and height, which was att ributed to numerical smoothing present in the Gauss- Newton approach."
查看更多>>摘要：Researchers detail new data in Machine Learning. According to news originating from Dongguan, People's Republic of Chi na, by NewsRx correspondents, research stated, "This work investigates the appli cation of femtosecond laser-ablation spark-induced breakdown spectroscopy (fsLASIBS) combined with machine learning algorithms for the rapid and accurate ident ification of steel alloys. Three algorithms, namely random forest (RF), support vector machine (SVM), and partial least squares identification analysis (PLS-DA) , were compared and evaluated." Funders for this research include National Natural Science Foundation of China ( NSFC), Guangdong Basic and Applied Basic Research Foundation, Dongguan Science a nd Technology of Social Development Program, Dongguan University of Technology.
查看更多>>摘要：Research findings on neural computatio n are discussed in a new report. According to news reporting out of the London I nstitute for Mathematical Sciences by NewsRx editors, research stated, "Associat ive learning is a behavioral phenomenon in which individuals develop connections between stimuli or events based on their co-occurrence." The news correspondents obtained a quote from the research from London Institute for Mathematical Sciences: "Initially studied by Pavlov in his conditioning exp eriments, the fundamental principles of learning have been expanded on through t he discovery of a wide range of learning phenomena. Computational models have be en developed based on the concept of minimizing reward prediction errors. The Re scorla- Wagner model, in particular, is a well-known model that has greatly influ enced the field of reinforcement learning. However, the simplicity of these mode ls restricts their ability to fully explain the diverse range of behavioral phen omena associated with learning. In this study, we adopt the free energy principl e, which suggests that living systems strive to minimize surprise or uncertainty under their internal models of the world. We consider the learning process as t he minimization of free energy and investigate its relationship with the Rescorl a-Wagner model, focusing on the informational aspects of learning, different typ es of surprise, and prediction errors based on beliefs and values."
查看更多>>摘要：Researchers detail new data in Artific ial Intelligence. According to news reporting out of Tyler, Texas, by NewsRx edi tors, research stated, "The recent surge in artificial intelligence (AI) has sig nificantly transformed work dynamics, particularly in human resource development (HRD) and related domains. Scholars, recognizing the significant potential of A I in HRD functions and processes, have contributed to the growing body of litera ture reviews on AI in HRD and related domains." Our news journalists obtained a quote from the research from the University of T exas at Tyler, "Despite the valuable insights provided by these individual revie ws, the challenge of collectively interpreting them within the HRD domain remain s unresolved. This protocol outlines the methodology for an umbrella review aimi ng to systematically synthesize existing reviews on AI in HRD. The review seeks to address key research questions regarding AI's contributions to HRD functions and processes, as well as the opportunities and threats associated with its impl ementation by employing a technology-aided systematic approach. The coding frame work will be used to synthesize the contents of the selected systematic reviews such as their search strategies, data synthesis approaches, and HRD-related find ings. The results of this umbrella review are expected to provide insights for H RD scholars and practitioners, promoting continuous improvement in AI-driven HRD initiatives."
查看更多>>摘要：2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on robotics. Acc ording to news reporting from Pune, India, by NewsRx journalists, research state d, "Mobile robot path planning involves decision-making in uncertain, dynamic co nditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. The Deep Deterministic Policy Gradient (DDPG) is an RL techni que focused on mobile robot navigation." The news editors obtained a quote from the research from Symbiosis International (Deemed University): "RL algorithms must balance exploitation and exploration t o enable effective learning. The balance between these actions directly impacts learning efficiency. This research proposes a method combining the DDPG strategy for exploitation with the Differential Gaming (DG) strategy for exploration. Th e DG algorithm ensures the mobile robot always reaches its target without collis ions, thereby adding positive learning episodes to the memory buffer. An epsilon -greedy strategy determines whether to explore or exploit. When exploration is c hosen, the DG algorithm is employed. The combination of DG strategy with DDPG fa cilitates faster learning by increasing the number of successful episodes and re ducing the number of failure episodes in the experience buffer. The DDPG algorit hm supports continuous state and action spaces, resulting in smoother, non-jerky movements and improved control over the turns when navigating obstacles. Reward shaping considers finer details, ensuring even small advantages in each iterati on contribute to learning."
查看更多>>摘要：Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting originating from Prague, Czech Republic, by NewsRx correspondents, research stated, "A unique app roach for mid-air autonomous aerial interception of non-cooperating Uncrewed Aer ial Vehicles by a flying robot equipped with a net is presented in this paper. A novel interception guidance method dubbed Fast Response Proportional Navigation (FRPN) is proposed, designed to catch agile maneuvering targets while relying o n onboard state estimation and tracking." Financial supporters for this research include CTU, Grant Agency of the Czech Re public, European Union through the project Robotics and Advanced Industrial Prod uction.
查看更多>>摘要：Investigators discuss new findings in artificial intelligence. According to news reporting out of the Department of Co mputer Science and Information Technology by NewsRx editors, research stated, "T he lncATLAS database quantifies the relative cytoplasmic versus nuclear abundanc e of long non-coding RNAs (lncRNAs) observed in 15 human cell lines." Financial supporters for this research include National Science Foundation. Our news editors obtained a quote from the research from Department of Computer Science and Information Technology: "The literature describes several machine le arning models trained and evaluated on these and similar datasets. These reports showed moderate performance, e.g. 72-74% accuracy, on test subset s of the data withheld from training. In all these reports, the datasets were fi ltered to include genes with extreme values while excluding genes with values in the middle range and the filters were applied prior to partitioning the data in to training and testing subsets. Using several models and lncATLAS data, we show that this ‘middle exclusion' protocol boosts performance metrics without boosti ng model performance on unfiltered test data. We show that various models achiev e only about 60% accuracy when evaluated on unfiltered lncRNA data ."
查看更多>>摘要：Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Chengd u, People's Republic of China, by NewsRx journalists, research stated, "To achie ve Sustainable Development Goal (SDG) 7, prioritizing the socially disadvantaged segments of the population is imperative, given their inherent susceptibility t o heightened risks of energy exclusion. However, a comprehensive understanding o f the diverse energy challenges faced by households with socioeconomic disparit ies remains elusive." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key Research Base of Philosophy and Social Sciences in Sichu an Province - Research Center for System Science and Enterprise Development, Chi na Scholarship Council.
查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Enna, I taly, by NewsRx journalists, research stated, "One-fourth of colorectal neoplasi a is missed at screening colonoscopy, representing the leading cause of interval colorectal cancer (I-CRC). This systematic review and meta-analysis summarizes the efficacy of computer-aided colonoscopy (CAC) compared to white-light colonos copy (WLC) in reducing lesion miss rates." The news reporters obtained a quote from the research from the Department of Med icine and Surgery, "Major databases were systematically searched through May 202 4 for tandem-design RCTs comparing lesion miss rates in CAC-first followed by WL C vs WLC-first followed by CAC. The primary outcomes were adenoma miss rate (AMR ) and polyp miss rate (PMR). The secondary outcomes were advanced AMR (aAMR) and sessile serrated lesion miss rate (SMR). Six RCTs (1718 patients) were included . AMR was significantly lower for CAC compared to WLC (RR = 0.46; 95 % CI [0.38-0.55]; P<0. 001). PMR was also lower for CAC compared to WLC (RR = 0.44; 95 %CI [0.33-0.60]; P<0.00 1). No significant difference in aAMR (RR = 1.28; 95 %CI [0.34-4.83]; P = 0.71) and SMR (RR = 0.44; 95 %CI [0.15-1.28]; P = 0.13) were observed. Sen sitivity analysis including only RCTs performed in CRC screening and surveillanc e setting confirmed lower AMR (RR = 0.48; 95 %CI [0.39-0.58]; P<0.001) and PMR (RR = 0.50 ; 95 %CI [0.37-0.66]; P<0.001), also showing significantly lower SMR (RR = 0.28; 95 %CI [0.11-0.70]; P = 0.007) for CAC compared to WLC."
查看更多>>摘要：Fresh data on robotics are presented i n a new report. According to news originating from the Division of Medical Micro biology by NewsRx correspondents, research stated, "ABSTRACT: The MBT Pathfinder is an automated colony-picking robot designed for efficient sample preparation in matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass s pectrometry." The news reporters obtained a quote from the research from Division of Medical M icrobiology: "This article presents results from three key experiments evaluatin g the instrument's performance in conjunction with MALDI Biotyper instrument. Th e method comparison experiment assessed its clinical performance, demonstrating comparable results with gram-positive, gram-negative, and anaerobic bacteria (sc ores larger than 2.00) and superior performance over simple direct yeast transfe r (score: 1.80) when compared to samples prepared manually. The repeatability ex periment confirmed consistent performance over multiple days and labs (average l og score: 2.12, std. deviation: 0.59)."
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