首页|Findings from University of Notre Dame Provide New Insights into Machine Learnin g (Predictability of Cortico-cortical Connections In the Mammalian Brain)
Findings from University of Notre Dame Provide New Insights into Machine Learnin g (Predictability of Cortico-cortical Connections In the Mammalian Brain)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news originating from Notre Dame, In diana, by NewsRx correspondents, research stated, "Despite a five order of magni tude range in size, the brains of mammals share many anatomical and functional c haracteristics that translate into cortical network commonalities. Here we devel op a machine learning framework to quantify the degree of predictability of the weighted interareal cortical matrix." Funders for this research include Directorate for Computer and Information Scien ce and Engineering, Agence Nationale de la Recherche (ANR), Agence Nationale de la Recherche (ANR), Agence Nationale de la Recherche (ANR), Ministry of Educatio n and Research - Romania, Centre National de la Recherche Scientifique (CNRS), E RA-NET, Ministerul Cercetarii, Inovariiscedil;i Digitalizarii, Universitatea Bab escedil;-Bolyai.
Notre DameIndianaUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningUnivers ity of Notre Dame
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