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    Researchers from University of Shanghai for Science and Technology Report Findin gs in Intelligent Systems (An End-to-end Hand Action Recognition Framework Based On Cross-time Mechanomyography Signals)

    77-78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 - Intelligent Systems are discussed in a newreport. According to news originati ng from Shanghai, People’s Republic of China, by NewsRx correspondents,research stated, “The susceptibility of mechanomyography (MMG) signals acquisition to se nsordonning and doffing, and the apparent time-varying characteristics of biome dical signals collected overdifferent periods, inevitably lead to a reduction i n model recognition accuracy. To investigate the adverseeffects on the recognit ion results of hand actions, a 12-day cross-time MMG data collection experimentwith eight subjects was conducted by an armband, then a novel MMG-based hand act ion recognitionframework with densely connected convolutional networks (DenseNe t) was proposed.”

    Research Study Findings from Florence Update Understanding of Artificial Intelli gence (Automating board-game based learning. A comprehensive study to assess rel iability and accuracy of AI in game evaluation)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Florence, Italy, by N ewsRx correspondents, research stated, “Game-Based Learning (GBL)and its subset , Board Game-Based Learning (bGBL), are dynamic pedagogical approaches leveragin g theimmersive power of games to enrich the learning experience. bGBL is distin guished by its tactile and socialdimensions, fostering interactive exploration, collaboration, and strategic thinking; however, its adoptionis limited due to lack of preparation by teachers and educators and of pedagogical and instruction alframeworks in scientific literature.”

    Hunan University of Science and Technology Reports Findings in Non-Small Cell Lu ng Cancer (Machine learning based on metabolomics unveils neutrophil extracellul ar trap-related metabolic signatures in non-small cell lung cancer patients …)

    79-80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 - Non-Small C ell Lung Cancer is the subject of a report.According to news reporting originat ing in Xiangtan, People’s Republic of China, by NewsRx journalists,research sta ted, “Non-small cell lung cancer (NSCLC) is the primary form of lung cancer, and the combinationof chemotherapy with immunotherapy offers promising treatment o ptions for patients sufferingfrom this disease. However, the emergence of drug resistance significantly limits the effectiveness of thesetherapeutic strategie s.”

    University of South China Reports Findings in Artificial Intelligence (Conventio nal and modern markers of pregnancy of unknown location: Update and narrative re view)

    80-81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 originating from Hengyang, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Pregnancy of unknown location (PUL) is a temporary pathologic or physiologic phenomenon of ea rlypregnancy that requires follow up to determine the final pregnancy outcome. Evidence indicated that PULpatients suffer a remarkably higher rate of adverse pregnancy outcomes, represented by ectopic gestationand early pregnancy loss, t han the general population.”

    Study Findings from Neoma Business School Provide New Insights into Machine Lear ning (Portfolio Construction Using Explainable Reinforcement Learning)

    81-82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 out of Mont St. Aignan, Fra nce, by NewsRx editors, research stated, “While machine learning’srole in finan cial trading has advanced considerably, algorithmic transparency and explainabil ity challengesstill exist. This research enriches prior studies focused on high -frequency financial data prediction byintroducing an explainable reinforcement learning model for portfolio management.”Financial support for this research came from NEOMA Business School’s AI, Data S cience & BusinessArea of Excellence.

    Patent Application Titled 'Generative Model For Multi-Modality Outputs From A Si ngle Input' Published Online (USPTO 20240233318)

    82-85页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “Acommon task in digital image generation is generating multi ple images that depict visually similar scenesor environments, expressed in dif ferent modalities. For instance, some approaches for digitally rendering athree -dimensional digital environment rely on multiple digital images that each expre ss the environmentin a different modality to do so, such as one image that depi cts visual characteristics (e.g., colors) ofthe environment as perceived by a h uman viewer, another image that represents depth characteristics ofdifferent po ints in the environment, another image that identifies segmentation boundaries f or differentobjects in the environment, and so forth. Conventional image genera tion systems, however, are unable togenerate these multiple modality images for the environment using a single generative model.”

    Patent Issued for Six degrees of freedom anchoring device and method for robotic installation (USPTO 12030194)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventorsVarone, Russell (Phoenix, AZ, US), filed on September 1, 2022, was published online on July 9, 2024.The patent’s assignee for patent number 12030194 is Diamond Age 3D Inc. (Phoenix , Arizona, UnitedStates).

    Patent Issued for Emissions detection system and methods (USPTO 12031967)

    86-90页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Air quality is important for the health of a population. C ountries worldwide spend significant resourceson monitoring air quality and con trolling air pollution. One of the major problems is that instrumentsthat can a ccurately monitor air quality are expensive and typically require expertise to o perate properly.Currently, air quality monitoring is mainly performed by govern ment agencies and dedicated organizationsusing specialized instrumentation. As a result, general air quality data often does not provide the fidelity necessary to pinpoint issues at a scale smaller than a regional level. Real-time air qual ity monitoring at afiner scale may be cost-prohibitive because air quality moni toring instruments can be expensive.

    'Wiping Processes In Robotic Paint Repair' in Patent Application Approval Proces s (USPTO 20240226965)

    90-93页
    查看更多>>摘要:This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “The automotive industry often needs to prepare surfaces of vehicle parts or replacement parts(e.g., a bumper) for various purp oses (e.g., painting), or to repair surfaces of car parts or replacementparts d ue to defects incurred during painting or coating. Typical surface preparation p rocesses include,for example, physically abrading car surfaces, or “scuffing”. Typical repair operations often include, forexample, sanding and polishing. Sur face preparation and repair of defects on surfaces can utilize differenttools. materials and fluids.”

    Researchers Submit Patent Application, 'Detecting And Suppressing Commands In Me dia That May Trigger Another Automated Assistant', for Approval (USPTO 202402337 35)

    93-99页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Humans can engage in human-to-computer dialogs with intera ctive software applications referred toherein as “automated assistants” (also r eferred to as “digital agents”, “interactive personal assistants”,“intelligent personal assistants”, “assistant applications”, “conversational agents”, etc.). For example, humans(which when they interact with automated assistants may be r eferred to as “users”) may providecommands and/or requests to an automated assi stant using spoken natural language input (i.e., utterances),which may in some cases be converted into text and then processed, by providing textual (e.g., typed) natural language input, and/or through touch and/or utterance free physical movement(s) (e.g., handgesture(s), eye gaze, facial movement, etc.). An automat ed assistant responds to a request by providingresponsive user interface output (e.g., audible and/or visual user interface output), controlling one ormore sm art devices, and/or controlling one or more function(s) of a device implementing the automatedassistant (e.g., controlling other application(s) of the device).