首页|Studies Conducted at Washington State University on Machine Learning Recently Re ported (Adversarial Transferability In Embedded Sensor Systems: an Activity Reco gnition Perspective)
Studies Conducted at Washington State University on Machine Learning Recently Re ported (Adversarial Transferability In Embedded Sensor Systems: an Activity Reco gnition Perspective)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Pullman, Was hington, by NewsRx correspondents, research stated, “Machine learning algorithms are increasingly used for inference and decision-making in embedded systems. Da ta from sensors are used to train machine learning models for various smart func tions of embedded and cyberphysical systems ranging from applications in health care, autonomous vehicles, and national security.” Financial support for this research came from National Science Foundation (NSF).
PullmanWashingtonUnited StatesNort h and Central AmericaCyborgsEmbedded SystemsEmerging TechnologiesMachine LearningWashington State University
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