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Researchers want to know how bad actors are tricking machine learning

University of Arizona researchers are developing algorithms to identify bad actors carrying out malicious cyber-activity so that emerging technologies like autonomous vehicles and facial recognitions will be more secure. Through the introduction of false data into environments, many machine learning algorithms can be easily tricked and adversaries can exploit and threaten digital devices and systems, according to the university's assistant professor of electrical and computer engineering. Researchers, however, want to improve these algorithms and strengthen cybersecurity along the way. Betsy Foresman has more.

A Message From AWS Educate

With over 1,500 institutions and hundreds of thousands of students who use AWS Educate, we wanted to take you on a trip around the world and highlight how students are learning and innovating with the cloud. Learn more.

Coronavirus worry jolts U. Washington to move classes online

Betsy has the details.

Immersive app turns U. of Florida campus into educational board game

Jake Williams has more.

Illinois Tech announces 'college of computing' for all students

Betsy has the highlights.

How to improve security practices with better data insights

Learn more in the report here.

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