Recently, a paper in Nature on building neural networks with DNA-based switches caught my attention.[1] The authors, Kevin Cherry and Lulu Qian, developed an interesting system that uses DNA base pairing to implement a trainable neural network. However, for me, what was even more interesting was a story hidden in the Methods section and Supplementary Information.

How can DNA learn?

As I discussed on this blog back in 2023, DNA base pairing can be used to perform computations. Back then, I was writing about relatively simple computational systems, for example ones that could add two 6-bit numbers. These were built of logic gates, like an AND gate that releases a piece of single stranded DNA only when two other “input” strands are present.

The current paper goes far and beyond this. The authors came up with a clever system of making DNA logic gates that don’t interfere with each [...]

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Outline:

(00:36) How can DNA learn?

(03:20) How did the authors learn from DNA?

(08:07) What can we learn from this story?

The original text contained 3 footnotes which were omitted from this narration.

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