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    Northeast Petroleum University Reports Findings in Machine Learning (Modeling of ionic liquids viscosity via advanced white-box machine learning)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Heilongjiang, People’s Republic of China, by NewsRx correspondents, research stated,“Ionic liquids (I Ls) are more widely used within the industry than ever before, and accurate mode ls oftheir physicochemical characteristics are becoming increasingly important during the process optimization.It is especially challenging to simulate the vi scosity of ILs since there is no widely agreed explanation ofhow viscosity is d etermined in liquids.”

    Data from Shanghai Business School Provide New Insights into Machine Learning (U rban Landscape Modeling and Algorithms Under Machine Learning and Remote Sensing Data)

    105-106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 originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Traditional urbanlandscap e modeling relies on limited geographic information data and sensor observation data, but urbanlandscapes are dynamic and cannot generate accurate urban landsc ape models. By utilizing remote sensingdata and machine learning technology to capture the spatiotemporal dynamics of urban landscapes, theaccuracy of urban l andscape modeling is improved.”

    Reports from Northwestern Polytechnic University Highlight Recent Findings in Co mputational Intelligence (Vtfr-at: Adversarial Training With Visual Transformati on and Feature Robustness)

    106-107页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented.According to news reporting out of Xi’an, People’s Republic of China, by NewsRx editors, research stated,“Researc h on the robustness of deep neural networks to adversarial samples has grown rap idly sincestudies have shown that deep learning is susceptible to adversarial p erturbation noise. Adversarial trainingis widely regarded as the most powerful defence strategy against adversarial attacks out of many defencestrategies.”

    Researchers from China Coal Research Institute Describe Findings in Machine Lear ning (Energy or Accuracy? Near-optimal User Selection and Aggregator Placement f or Federated Learning In Mec)

    107-108页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news originatingfrom Ningxia, People’s Republic of C hina, by NewsRx correspondents, research stated, “To unveil thehidden value in the datasets of user equipments (UEs) while preserving user privacy, federated l earning(FL) is emerging as a promising technique to train a machine learning mo del using the datasets of UEslocally without uploading the datasets to a centra l location. Customers require to train machine learningmodels based on differen t datasets of UEs, through issuing FL requests that are implemented by FL services in a mobile edge computing (MEC) network.”

    Patent Issued for Cognitive correlation of group interactions (USPTO 11955127)

    108-111页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“The present invention relates generally to a method, system, and computer program product for processingof digital recordings. More particul arly, the present invention relates to a method, system, and computerprogram pr oduct for cognitive correlation of group interactions.

    Patent Issued for Neural processing device, processing element included therein and method for operating various formats of neural processing device (USPTO 1195 4488)

    111-115页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“For the last few years, artificial intelligence technology has been the core technology of the FourthIndustrial Revolution and the subjec t of discussion as the most promising technology worldwide. Thebiggest problem with artificial intelligence technology is computing performance. For artificial intelligencetechnology to realize a level of human learning ability, reasoning ability, perceptual ability, natural languageimplementation ability, etc., it is of the utmost importance to process a large amount of data quickly.

    Patent Issued for Systems and methods for automatic detection of features on a s heet (USPTO 11954932)

    115-118页
    查看更多>>摘要:From the background information supplied by the inventors, news correspondents o btained the followingquote: “Architecture, engineering, and construction (AEC) industries actively use drawings to representbuilding designs. A large number o f drawing sheets are usually needed to represent various aspects of abuilding. Drawing sheets typically include a title box or similar section containing infor mation used foridentifying a particular drawing, which may be important to disc ern the context of the drawing depictedon the sheet. For example, the title box of a drawing sheet may include a title and a number, which maybe indicative of the content displayed on the drawing sheet.

    Researchers Submit Patent Application, 'Autonomous Refuse Container', for Approv al (USPTO 20240116702)

    118-121页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Mobile robotic devices are becoming increasingly common in consumer homes and commercial spaces.In several instances, mobile robotic devi ces are desirable for the convenience they provide to a user. Forexample, mobil e robotic devices may be used in waste management to provide a convenience to us ers asa large amount of refuse is accumulated on a daily basis, the refuse incl uding but not limited to trash,yard waste, recyclable materials, and the like. The refuse is often accumulated in bins that are transferredto a refuse collect ion location by the user. This may be inconvenient and/or unsatisfying for the u seras waste management requires user intervention and handling of the bins may be unsanitary. A mobilerobotic device that may autonomously manage the refuse o f a user is therefore desirable.”

    Patent Application Titled 'System And Method For Post-Asr False Wake-Up Suppress ion' Published Online (USPTO 20240119925)

    121-125页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“When voice assistants wake up when users do not intend to spe ak with them, it can lead to a bad userexperience and a waste of device resourc es. False wake ups can also lead to privacy concerns among users.Furthermore, t he false wake up problem can be more acute when seamless registration processes that donot ask users for audio training samples are used. Previously, during re gistration of a device (such assetting up a device after purchasing), users wer e asked to provide audio training samples of themselvessaying a wake word for t raining a wake-up word detection system. However, users may not wish to providethe audio training samples, so seamless registration has been increasingly imple mented instead. Althoughseamless registration may improve user experience by el iminating a step during registration, the lack ofaudio training samples may lea d to decreased accuracy in the wake-word detection system.”

    Patent Application Titled 'Automated Collection Of Product Image Data And Annota tions For Artificial Intelligence Model Training' Published Online (USPTO 202401 19702)

    126-129页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“The present disclosure relates to product detection, and in p articular, to training and using an AI modelfor product detection.“Retailers want to track products in their stores for numerous reasons. Namely, retailers want todetermine the rate at which products are being sold, the inven tory of each product at any given time, andwhat products need to be ordered and /or stocked. Further, retailers also want to track products as theymove through their store, particularly when using cashier-less check out systems.