查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Turin, Italy, by NewsRx journ alists, research stated, “With the advent of Industry 4.0, Artificial Intelligen ce (AI) has created a favorable environment for the digitalization of manufactur ing and processing, helping industries to automate and optimize operations. In t his work, we focus on a practical case study of a brake caliper quality control operation, which is usually accomplished by human inspection and requires a dedi cated handling system, with a slow production rate and thus inefficient energy u sage.” Financial support for this research came from GEFIT S.p.a..
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Washington, District of Columbia, by NewsRx editors, research stated, “GeSn alloys hold promise for silicon-compatible integrated applications in electronics, photonics, and topolo gical quantum devices. However, understanding their intricate structures using d ensity functional theory (DFT) calculations is hindered by spatiotemporal constr aints.” Financial supporters for this research include United States Department of Energ y (DOE), United States Department of Energy (DOE), NERSC.
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 robotics have bee n published. According to news reporting originating from Xuzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “Crocodiles, one of the oldest and most resilient species on Earth, have demonstrated remarkable locomo tor abilities both on land and in water, evolving over millennia to adapt to div erse environments.” Funders for this research include China University of Mining And Technology. The news journalists obtained a quote from the research from China University of Mining and Technology: “In this study, we draw inspiration from crocodiles and design a highly biomimetic crocodile robot equipped with multiple degrees of fre edom and articulated trunk joints. This design is based on comprehensive analysi s of the structural and motion characteristics of real crocodiles. The bionic cr ocodile robot has a problem of limb-torso incoordination during movement. To sol ve this problem, we used the D-H method for both forward and inverse kinematics analysis of the robot’s legs and spine. Through a series of simulation experimen ts, we investigated the robot’s motion stability, fault tolerance, and adaptabil ity to environments in two motor patterns: with and without spine and tail movem ents. The experimental results show that the bionic crocodile robot exhibits sup erior motion performance when the spine and tail cooperate with the extremities. ”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news originating from Valladolid, Spain, by NewsRx c orrespondents, research stated, “Classical surgery, also called analog surgery, is transmitted to us by our mentors, whose knowledge has been delegated from gen eration to generation throughout the history of surgery. Its main limitations ar e limited surgical precision and dependence on the surgeon’s skill to achieve su rgical goals.” Our news journalists obtained a quote from the research from University Hospital Rio Hortega, “Socalled digital surgery incorporates the most advanced technolo gy, with the aim of improving the results of all phases of the surgical process. Robotic platforms are currently considered to be one of the main drivers of the digital transformation of surgery.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Dublin, Ireland, by NewsRx editors, the research stated, “Due to market deregulation and globalisati on, competitive environments in various sectors continuously evolve, leading to increased customer churn.” Funders for this research include Irish Research Council; Science Foundation Ire land Through The Adapt Sfi Research Centre, Technological University Dublin. Our news correspondents obtained a quote from the research from Technological Un iversity Dublin: “Effectively anticipating and mitigating customer churn is vita l for businesses to retain their customer base and sustain business growth. This research scrutinizes 212 published articles from 2015 to 2023, delving into cus tomer churn prediction using machine learning methods. Distinctive in its scope, this work covers key stages of churn prediction models comprehensively, contrar y to published reviews, which focus on some aspects of churn prediction, such as model development, feature engineering and model evaluation using traditional m achine learning-based evaluation metrics. The review emphasises the incorporatio n of features such as demographic, usage-related, and behavioural characteristic s and features capturing customer social interaction and communications graphs a nd customer feedback while focusing on popular sectors such as telecommunication , finance, and online gaming when producing newer datasets or developing a predi ctive model. Findings suggest that research on the profitability aspect of churn prediction models is under-researched and advocates using profit-based evaluati on metrics to support decision-making, improve customer retention, and increase profitability.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to news reporting from London, United Kin gdom, by NewsRx journalists, research stated, “The 2019 novel coronavirus (renam ed SARS-CoV-2, and generally referred to as the COVID-19 virus) has spread to 18 4 countries with over 1.5 million confirmed cases. Such a major viral outbreak d emands early elucidation of taxonomic classification and origin of the virus gen omic sequence, for strategic planning, containment, and treatment.” The news correspondents obtained a quote from the research from Imperial College London, “The emerging global infectious COVID-19 disease by novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) presents critical threats to glo bal public health and the economy since it was identified in late December 2019 in China. The virus has gone through various pathways of evolution. Due to the c ontinued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying deep le arning and machine learning approaches. In a general computational context for b iomedical data analysis, DNA sequence classification is a crucial challenge. Sev eral machine and deep learning techniques have been used in recent years to comp lete this task with some success. The classification of DNA sequences is a key r esearch area in bioinformatics as it enables researchers to conduct genomic anal ysis and detect possible diseases. In this paper, three state-of-the-art deep le arning-based models are proposed using two DNA sequence conversion methods. We a lso proposed a novel multi-transformer deep learning model and pairwise features fusion technique for DNA sequence classification. Furthermore, deep features ar e extracted from the last layer of the multi-transformer and used in machine-lea rning models for DNA sequence classification. The k-mer and one-hot encoding seq uence conversion techniques have been presented. The proposed multi-transformer achieved the highest performance in COVID DNA sequence classification. Automatic identification and classification of viruses are essential to avoid an outbreak like COVID-19.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of Melbourne, Australia, by NewsRx editors, research stated, “Telemarketing is a well-established market ing approach to offering products and services to prospective customers. The eff ectiveness of such an approach, however, is highly dependent on the selection of the appropriate consumer base, as reaching uninterested customers will induce a nnoyance and consume costly enterprise resources in vain while missing intereste d ones.” The news editors obtained a quote from the research from Royal Melbourne Institu te of Technology - RMIT University: “The introduction of business intelligence a nd machine learning models can positively influence the decision-making process by predicting the potential customer base, and the existing literature in this d irection shows promising results. However, the selection of influential features and the construction of effective learning models for improved performance rema in a challenge. Furthermore, from the modelling perspective, the class imbalance nature of the training data, where samples with unsuccessful outcomes highly ou tnumber successful ones, further compounds the problem by creating biased and in accurate models. Additionally, customer preferences are likely to change over ti me due to various reasons, and/or a fresh group of customers may be targeted for a new product or service, necessitating model retraining which is not addressed at all in existing works. A major challenge in model retraining is maintaining a balance between stability (retaining older knowledge) and plasticity (being re ceptive to new information). To address the above issues, this paper proposes an ensemble machine learning model with feature selection and oversampling techniq ues to identify potential customers more accurately. A novel online learning met hod is proposed for model retraining when new samples are available over time.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on androids are disc ussed in a new report. According to news reporting out of Tokyo, Japan, by NewsR x editors, research stated, “Humans can perform stable motion with a sense of st ability that involves identifying their center of gravity point with plantar sen sory system.” Funders for this research include Japan Society For The Promotion of Science. The news journalists obtained a quote from the research from Waseda University: “By contrast, the stability of a humanoid robot is inferior to that of a human. If the sense of stability of a humanoid robot is presented to a human who operat es the robot in real time, the operator can control the robot more stably. Howev er, studies wherein humans recognize the projected center of gravity point with a plantar haptic display are lacking. In this study, we investigated the possibi lity of estimating the projected center of gravity point of a small humanoid rob ot from only the foot force information. We propose a plantar haptic display to reproduce the foot reaction force on four points of a single sole as large as th e force during human running.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Jinan, People’s R epublic of China, by NewsRx journalists, research stated, “Explainable artificia l intelligence (XAI) has been increasingly investigated to enhance the transpare ncy of black-box artificial intelligence models, promoting better user understan ding and trust. Developing an XAI that is faithful to models and plausible to us ers is both a necessity and a challenge.” The news correspondents obtained a quote from the research from Shandong Univers ity, “This work examines whether embedding human attention knowledge into salien cy-based XAI methods for computer vision models could enhance their plausibility and faithfulness. Two novel XAI methods for object detection models, namely Ful lGrad-CAM and FullGrad-CAM++, were first developed to generate object-specific e xplanations by extending the current gradient-based XAI methods for image classi fication models. Using human attention as the objective plausibility measure, th ese methods achieve higher explanation plausibility. Interestingly, all current XAI methods when applied to object detection models generally produce saliency m aps that are less faithful to the model than human attention maps from the same object detection task. Accordingly, human attention-guided XAI (HAG-XAI) was pro posed to learn from human attention how to best combine explanatory information from the models to enhance explanation plausibility by using trainable activatio n functions and smoothing kernels to maximize the similarity between XAI salienc y map and human attention map. The proposed XAI methods were evaluated on widely used BDD-100K, MS-COCO, and ImageNet datasets and compared with typical gradien t-based and perturbation-based XAI methods.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artific ial Intelligence. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “This paper explores the intersect ion between artificial intelligence and nuclear energy, shedding light on the in triguing scenario when these two sectors jointly consturct. Through the applicat ion of both full-sample and sub-sample methodologies, this study identifies the time-dependent interrelationships between China’s artificial intelligence index (AI) and nuclear energy indicator (NUC).” Financial support for this research came from National Natural Science Foundatio n of China (One belt, one road, experience transfer mechanism of China’s oversea s enterprises: Based on the theoretical perspective of “reverse springboard”).
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