🏠
Author: current-hypothesis.bsky.social (did:plc:hry6dkechh2qjms57dkljjkn)

Record🤔

uri:
"at://did:plc:hry6dkechh2qjms57dkljjkn/app.bsky.feed.post/3l3xwelmvky2h"
cid:
"bafyreieqivzouwzz5hinxpkdpvbcrrbcgqwtxyqjcl5fmsqrd2supgdveq"
value:
text:
"Before we had fancy GPUs and 'ML', we didn't give up and cry when we faced combinatorial complexity.

We designed really goddamn clever selections. Which we should keep doing. 

Here's a new method, from @saramitri.bsky.social, on selecting microbial communities.

www.nature.com/articles/s41..."
$type:
"app.bsky.feed.post"
embed:
$type:
"app.bsky.embed.external"
external:
thumb:
View blob content
$type:
"blob"
ref:
$link:
"bafkreibkujksojjbpbcq6zhy4kjyxvjudix6korlurq7na6dj6upgemjle"
mimeType:
"image/jpeg"
size:
707335
title:
"Artificial selection improves pollutant degradation by bacterial communities - Nature Communications"
description:
"Artificial selection is a promising way to improve microbial community functions. Here, Arias-Sánchez et al. evaluate a method inspired by genetic algorithms to select small bacterial communities of k..."
langs:
  • "en"
facets:
createdAt:
"2024-09-12T17:03:14.707Z"