Biotechnology and Life Sciences

Guarding against adversarial machine learning

Pingkun Yan, like many in biomedical research, is a firm believer in the power of artificial intelligence (AI) to improve and potentially revolutionize healthcare technology. On the other hand, he notes, he’s also a realist: For all the hype to become a reality, challenges must be overcome first.

“A lot of people think AI is so capable and that it can solve all of our problems,” says Yan, an assistant professor of biomedical engineering at Rensselaer Polytechnic Institute in Troy, New York. “That may be true in a couple of decades, but right now, it still has weaknesses—we’re really not there yet.”



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