The challenges of lifelong learning in biological and artificial systems

Published on November 3, 2022

Just like how an experienced botanist continuously learns about different plant species, biological systems are constantly adapting to change while retaining old knowledge. But can we apply these principles to artificial learning systems? In this illuminating article, we delve into the challenges and strategies of ‘lifelong learning’ in living organisms and artificial intelligence. By studying the failures of both biological and artificial systems, we can uncover valuable insights that can benefit both domains. Through this collaborative approach, we have the potential to revolutionize the field of lifelong learning by bridging the gap between natural and synthetic intelligence. To embark on this exciting journey of discovery and unlock the secrets of continuous learning, feel free to explore the original research!

How do biological systems learn continuously throughout their lifespans, adapting to change while retaining old knowledge, and how can these principles be applied to artificial learning systems? In this Forum article we outline challenges and strategies of ‘lifelong learning’ in biological and artificial systems, and argue that a collaborative study of each system’s failure modes can benefit both.

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