Communications of the ACM
The Computer Scientist Challenging AI to Learn Better
"The field needs to go toward this idea of learning over time, where algorithms become better learners by building upon past experience." -Christopher Kanan
Credit: Sasha Maslov/Quanta Magazine.
Christopher Kanan is a computer scientist at the University of Rochester in Rochester, NY, USA.
Computer scientist Christopher Kanan has helped establish a new field of artificial intelligence (AI) research known as continual learning. His goal is for AI to keep learning new things from continuous streams of data and to do so without forgetting everything that came before.
In an interview, Kanan talks about machine memories, breaking the rules of training neural networks, and whether AI will ever achieve human-level learning.
From Quanta Magazine
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