Robotics & Machine Learning Daily News2024,Issue(MAY.23) :9-9.

Studies Conducted at Washington State University on Machine Learning Recently Re ported (Adversarial Transferability In Embedded Sensor Systems: an Activity Reco gnition Perspective)

Robotics & Machine Learning Daily News2024,Issue(MAY.23) :9-9.

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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Abstract

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).

Key words

Pullman/Washington/United States/Nort h and Central America/Cyborgs/Embedded Systems/Emerging Technologies/Machine Learning/Washington State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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