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    Rensselaer researcher helps scientists make sense of vast amounts of molecular data

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Thanks to technological advances, scientists have access to vast amounts of data, butin order to put it to work and draw conclusions, they need to be able to process it.In research recently published in Genome Biology, Rensselaer Polytechnic Institute’s Boleslaw Szymanski,Ph.D., Claire and Roland Schmitt Distinguished Professor of Computer Science and director of theNetwork Science and Technology Center, and team have found a method that effectively organizes andgroups the data for a variety of applications. The process is referred to as clustering in machine learning.

    Ritsumeikan University Researcher Publishes New Study Findings on Robotics (Long-Range 3D Reconstruction Based on Flexible Configuration Stereo Vision Using Multiple Aerial Robots)

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    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 robotics. According to news reporting out of Shiga,Japan, by NewsRx editors, research stated, “Aerial robots, or unmanned aerial vehicles (UAVs), are widelyused in 3D reconstruction tasks employing a wide range of sensors.”

    Chinese Academy of Sciences Reports Findings in Machine Learning (Screening and identification of unknown chemical contaminants in food based on liquid chromatography-high-resolution mass spectrometry and machine learning)

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    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 the subject of a report. According to news reportingoriginating in Dalian, People’s Republic of China, by NewsRx journalists, research stated, “Unknown orunexpected chemical contaminants and/or their transformation products in food that may be harmful tohumans need to be discovered for comprehensive safety evaluation. Liquid chromatography-high-resolutionmass spectrometry (LC-HRMS) is a powerful tool for detecting chemical contaminants in food samples.”

    Findings in the Area of Nanocomposites Reported from Faculty of Science (Optimization of Mechanical Properties of Multiscale Hybrid Polymer Nanocomposites: a Combination of Experimental and Machine Learning Techniques)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Nanotechnology - Nanocomposites. According to news originatingfrom Madrid, Spain, by NewsRx correspondents, research stated, “Machine learning (ML) modelsprovide fast and accurate predictions of material properties at a low computational cost. Herein, the mechanicalproperties of multiscale poly(3-hydroxybutyrate) (P3HB)-based nanocomposites reinforced withdifferent concentrations of multiwalled carbon nanotubes (MWCNTs), WS2 nanosheets and sepiolite (SEP)nanoclay have been predicted.”

    Investigators at Memorial University of Newfoundland Detail Findings in Robotics (Workspace-based Motion Planning for Quadrupedal Robots On Rough Terrain)

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    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 Robotics. According to news reporting out ofSt. John, Canada, by NewsRx editors, research stated, “Legged robots have demonstrated high potentialwhen dealing with rough terrain, for which an efficient motion planner becomes crucial. This articlepresents a novel approach for quadrupedal robot motion planning on rough terrain that is both conceptuallystraightforward and computationally efficient.”

    Capital Medical University Reports Findings in Colon Cancer (Muscle-related parameters-based machine learning model for predicting postinduction hypotension in patients undergoing colorectal tumor resection surgery)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Colon Cancer is the subject of a report. According tonews originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated,“This study used machine learning algorithms to identify important variables and predict postinductionhypotension (PIH) in patients undergoing colorectal tumor resection surgery. Data from 318 patients whounderwent colorectal tumor resection under general anesthesia were analyzed.”

    Reports on Androids from Nanyang Technological University Provide New Insights (Safety-guaranteed and Task-consistent Humanrobot Interaction Using High-order Time-varying Control Barrier Functions and Quadratic Programs)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics - Androids have been presented. According to news reportingoriginating in Singapore, Singapore, by NewsRx journalists, research stated, “Close human-robot interactionenables the combination of complementary abilities of humans and robots, thereby promoting efficientmanufacturing. Human safety is an important aspect of human-robot interaction.”

    Researchers at Sakarya University Publish New Study Findings on Machine Learning (A Literature Review on Machine Learning in The Food Industry)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Sakarya University by NewsRx correspondents, research stated, “Machine Learning (ML)has become widespread in the food industry and can be seen as a great opportunity to deal with the variouschallenges of the field both in the present and near future.”

    Skolkovo Institute of Science and Technology Reports Findings in Machine Learning (Characterizing conformational states in GPCR structures using machine learning)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject of a report. According to news reportingoriginating from Moscow, Russia, by NewsRx correspondents, research stated, “G protein-coupled receptors(GPCRs) play a pivotal role in signal transduction and represent attractive targets for drug development.Recent advances in structural biology have provided insights into GPCR conformational states, which arecritical for understanding their signaling pathways and facilitating structure-based drug discovery.”

    Second Affiliated Hospital Reports Findings in Bladder Cancer (Unraveling neoantigen-associated genes in bladder cancer: An in-depth analysis employing 101 machine learning algorithms)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Oncology - Bladder Cancer is the subject of a report. According to news originatingfrom Hunan, People’s Republic of China, by NewsRx correspondents, research stated, “The therapeuticoutcomes for bladder cancer (BLCA) remain suboptimal. Concurrently, there is a growing appreciation forthe role of neoantigens in tumors.”