查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news reporting originating from Gumi, South Kore a, by NewsRx correspondents, research stated, “Industrial exoskeletonsis a fiel d of ongoing research for improving human safety and conveniences. However, the adoption ofindustrial exoskeleton robots still remains challenging.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news originating from Shanghai,People’s Republic of China, by N ewsRx correspondents, research stated, “This article proposes a frameworkto add ress the challenges of the uncalibrated cylinder-driven heavy-legged robot (HLR) in accuratelyobserving the ground reaction force (GRF). The proposed framework eliminates the need for force/torquesensors mounted on end-effectors or joints .”
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 from Daejeon, Sou th Korea, by NewsRx correspondents, research stated, “In reallifesituations wh ere human care robots are deployed, there are custom sound events whose acousticcharacteristics change depending on the user’s choice unlike general sound even ts so that the human carerobots cannot recognize custom sound events correctly in a conventional way.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Nanning, People’s Republic of China, by NewsRx correspondents, research stated, “Graphene oxide(GO) membranes have attracted much attention due to their wide applications in areas such as d esalinationand water filtration. In this work, we have compared four machine le arning (ML) algorithms (Bagging,XGBoost, AdaBoost, and RF) with molecular dynam ics simulation (MD) results as the database to predictthe water diffusion affec ted by crucial GO structure features such as the oxidation degree and interlayerspacing.”
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 newsreporting from Tartu, Estonia, by NewsR x journalists, research stated, “The majority of chemicals detectedvia nontarge t liquid chromatography high-resolution mass spectrometry (HRMS) in environmenta l samplesremain unidentified, challenging the capability of existing machine le arning models to pinpoint potentialendocrine disruptors (EDs). Here, we predict the activity of unidentified chemicals across 12 bioassaysrelated to EDs withi n the Tox21 10K dataset.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reportingout of Moscow, Russia, by NewsRx editor s, research stated, “Analysis of the mechanisms underlying theoccurrence and pr ogression of cancer represents a key objective in contemporary clinical bioinfor maticsand molecular biology. Utilizing omics data, particularly transcriptomes, enables a detailed characterizationof expression patterns and post-transcripti onal regulation across various RNA types relative to the entiretranscriptome.”
查看更多>>摘要：No assignee for this patent application has been made.News editors obtained the following quote from the background information suppli ed by the inventors:“Decentralized learning of machine learning (ML) model(s) i s an increasingly popular ML techniquefor updating ML model(s) due to various p rivacy considerations. In one common implementation ofdecentralized learning, a n on-device ML model is stored locally on a client device of a user, and a globa lML model, that is a cloud-based counterpart of the on-device ML model, is stor ed remotely at a remotesystem (e.g., a server or cluster of servers). During a given round of decentralized learning, the clientdevice, using the on-device ML model, can process an instance of client data detected at the client deviceto generate predicted output, and can generate an update for the global ML model ba sed on processingthe instance of client data. Further, the client device can tr ansmit the update to the remote system. Theremote system can utilize the update received from the client device, and additional updates generated ina similar manner at additional client devices and that are received from the additional cl ient devices, toupdate global weight(s) of the global ML model. The remote syst em can transmit the updated globalML model (or updated global weight(s) of the updated global ML model), to the client device and theadditional client devices . The client device and the additional client devices can then replace the respective on-device ML models with the updated global ML model (or replace respectiv e on-device weight(s)of the respective on-device ML models with the updated glo bal weight(s) of the global ML model), therebyupdating the respective on-device ML models.
查看更多>>摘要：Patent number 11934199 is assigned to Vorwerk & Co. Interholding G mbH (Wuppertal, Germany).The following quote was obtained by the news editors from the background informa tion supplied bythe inventors:“1. Field of the Invention“The invention relates to a method for operating a system with a first automatic ally moving floorprocessing device and a second automatically moving floor proc essing device, wherein the first floorprocessing device detects environmental f eatures in an environment of the first floor processing device,wherein the firs t floor processing device or a shared computing device allocated to both the fir st floorprocessing device and the second floor processing device generates a fi rst area map based on the detectedenvironmental features, and wherein the first floor processing device also detects the second floor processingdevice, and th e position of the second floor processing device is thereupon stored within the generatedfirst area map.
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 bythe inventors: “FIG. 1 illustrates a typical robot 100 for perf orming an operation. The robot 100 consistsof a base 101, a robot arm 102, and an instrument 103. The base 101 supports the robot, and is itselfattached rigid ly to, for example, the floor, ceiling or a cart. The robot arm 102 extends betw een thebase and the instrument. The robot arm consists of rigid links 104 inter spersed with flexible joints 105.The robot arm is thereby articulated and able to move its distal end, and hence the instrument, withina workspace. The instru ment comprises a shaft 106 and an end effector 107. The end effector 107 isloca ted at a most distal position of the instrument from the robot arm. The end effe ctor engages inthe operation that the robot is undertaking. For example, the ro bot may be an industrial robot in a carmanufacturing plant for performing opera tions on cars. As another example, the robot may be a surgicalrobot for assisti ng or performing surgery.
查看更多>>摘要：The patent’s assignee for patent number 11933805 is HighRes Biosolutions Inc. (B everly, Massachusetts,United States).News editors obtained the following quote from the background information suppli ed by the inventors:“Pipettors, also referred to as chemical droppers, are labo ratory tools commonly used in the life sciencesindustry to dispense a volume of liquid. As life sciences equipment has advanced, many pipettors havebeen integ rated into automated systems. While these automated systems have improved the ac curacyand control of pipetting procedures, these conventional automated systems can be less than dynamic intheir ability to handle distinct pipetting procedur es.”
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