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    New Findings in Artificial Intelligence Described from Bangladesh Open Universit y ('I Wonder if my Years of Training and Expertise Will be Devalued by Machines' : Concerns About the Replacement of Medical Professionals by Artificial Intellig ence)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Gazipur, B angladesh, by NewsRx correspondents, research stated, “The rapid integrationof artificial intelligence (AI) into healthcare has raised concerns among healthcar e professionals about thepotential displacement of human medical professionals by AI technologies.”

    Beijing You’an Hospital Reports Findings in Liver Cancer (Construction and valid ation of a machine learning-based nomogram to predict the prognosis of HBV assoc iated hepatocellular carcinoma patients with high levels of hepatitis B surface ...)

    97-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Liver Cance r is the subject of a report. According tonews reporting out of Beijing, People ’s Republic of China, by NewsRx editors, research stated, “HepatitisB surface a ntigen (HBsAg) clearance is associated with improved long-term outcomes and redu ced riskof complications. The aim of our study was to identify the effects of l evels of HBsAg in HCC patientsundergoing TACE and sequential ablation.”

    New Androids Findings Reported from University of Maryland Baltimore County (Eme rging Frontiers In Human-robot Interaction)

    98-99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 Ro botics - Androids. According to news originatingfrom Baltimore, Maryland, by Ne wsRx correspondents, research stated, “Effective interactions betweenhumans and robots are vital to achieving shared tasks in collaborative processes. Robots c an utilize diversecommunication channels to interact with humans, such as heari ng, speech, sight, touch, and learning.”

    Studies from University of Illinois Update Current Data on Machine Learning (Mac hine Learning and Multi-objective Optimization Methodology for Planning Construc tion Phases of Airport Expansion Projects)

    99-100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 Machine Learning is now available. According to news originating fromUrbana, Illinois, by NewsRx corre spondents, research stated, “This study presents the development of aninnovativ e methodology to optimize phasing plans of airport expansion projects to minimiz e construction-related disruptions in airport operations and project constructi on cost. This methodology integrates amachine learning model to predict the imp act of generated phasing plans on flights ground movementtime during constructi on, and a multi -objective genetic algorithms optimization model to identify optimal construction phasing plans for airport expansion projects.”

    New Robotics Study Results Reported from Shanghai Jiao Tong University (A Robot- object Unified Modeling Method for Deformable Object Manipulation In Constrained Environments)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating in Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated,“Deformable obje ct manipulation (DOM) holds significant importance in a variety of robotic appli cations.However, due to the absence of computationally efficient and accurate m odels, manipulating such objectsremains a challenge.”

    New Computational Intelligence Findings from Zhejiang Wanli University Outlined (A Generalized Nesterov’s Accelerated Gradientincorporated Non-negative Latent- factorization-of-tensors Model for Efficient Representation To Dynamic Qos Data)

    101-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning - Computational Intelligence are discussed ina new report. According to news re porting originating in Ningbo, People’s Republic of China, by NewsRxjournalists , research stated, “Dynamic Quality-of-Service (QoS) data can be efficiently rep resented bya Non-negative Latent-factorization-of-tensors model, which relies o n a Non-negative and MultiplicativeUpdate on Incomplete Tensors (NMU-IT) algori thm. Nevertheless, NMU-IT frequently encounters slowconvergence and inefficient hyper-parameters selection.”

    Third Affiliated Hospital of Zhengzhou University Reports Findings in Artificial Intelligence (Assessment of Efficacy and Accuracy of Cervical Cytology Screenin g with Artificial Intelligence Assistive System)

    102-103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 originating from Zheng zhou, People’s Republic of China, by NewsRx correspondents, researchstated, “Th e role of Artificial intelligence (AI) in pathology is one that offers many exci ting new possibilitiesfor improving patient care. This study contributes to thi s development by identifying the viability of AICyteAssistive System for cervic al screening, and to investigate the utility of the system in assisting with workflow and diagnostic capability.”

    Patent Application Titled 'Fraud Detection Using Emotion-Based Deep Learning Mod el' Published Online (USPTO 20240112198)

    103-107页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “Acustomer service contact center is a facility configured to handle incoming communications from customersor potential customers of a busin ess or organization. One function of the contact center is to identifypotential ly fraudulent communications. Although many communications can be handled throug h onlineinteractions (e.g., via websites, email, or mobile applications), for s ome businesses, a contact center maybe regarded as necessary. A contact center may include one or more message analysis systems and one ormore agent desktop s ystems used by a number of human agents that are representatives of the organization.

    Automated Workpiece Transfer Systems And Methods Of Implementing Thereof' in Pa tent Application Approval Process (USPTO 20240109191)

    107-111页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Manufacturing processes can involve processing (e.g., assembling, fabricating, treating,refining, etc.) raw materials or parts to produce products. Feeders are used within assembly lines totransfer parts o r workpieces to or between processing stations for processing. Often, parts or w orkpiecesare loaded in bulk to a feeder. Feeders can sort and divert individual parts or workpieces and feed individualworkpieces to the assembly line. Furthe rmore, some feeders may transfer the individual workpieces to themanufacturing lines in a particular position and orientation.”

    Researchers Submit Patent Application, 'Generating Counterfactual Samples Based On User Preference', for Approval (USPTO 20240112072)

    111-116页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Explainable artificial intelligence or machine learning in cludes a set of methods that allows human users tounderstand why certain result s or output was generated by a machine learning model. Explainable machinelearn ing may be used to explain a machine learning model’s reasoning and characterize the strengths and weaknesses of the model’s decision-making process. Explainabl e machine learning may be used to establishtrust in the output generated by mac hine learning models. For example, for ethical reasons, legal reasons,and to in crease trust, a doctor may desire to understand why a machine learning model is recommendinga particular procedure for a patient.”