Fascinating read, though it seems like neuroscience folks have a very static view of DNA/RNA and are overly concerned with semantics i.e. whether this is really "learning"
From a genomics perspective, it's pretty clear that cells have lots of ways to encode long-term information
Sam Gershman @gershbrain
China census results delayed because they are so politically sensitive. Population is below 1.4B. TFR is officially 1.8 but actually <1.5.
I knew China faced population decline, but wasn't aware how politically sensitive the topic is in China.
ft.com/content/008ea7…
This is pretty amazing..
#AirPods do more in revenue than #Spotify, #Twitter, & #Snap *combined*
via @rex_woodbury
Ephys tech is doubling in capacity every 4 years, and it's accelerating. My post on accelerating trends in neurotech xcorr.net/2021/04/27/acc… @neuroecology @KordingLab @AdamMarblestone @AnneEUrai @ihstevenson @MatteoCarandini
Today's internet giants -- Facebook, Google, Amazon, etc -- seem undisruptable.
One argument is that we're at the end of the beginning. They've won, and they'll remain winners.
But I think Web3 might disrupt the Aggregators.
New post on hyperparameter.space on a convergence in how we model and conceptualize increasingly dynamical systems in biology and software.
Cells, neurons, molecules, machine learning, causality, polygenic models all make an appearance.
Always love these Guzey, thanks