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There is this optical neuron that gets stimulated from motion. Mapping it is difficult in the lab: "The stumbling block is a lack of fine-grained anatomical detail about how the neurons in the retina are wired up to each other." So, use people deciphering from 2D images --> the 3D neuron structure using the human spatial reasoning to figure out what is part of a branching cell and what is just background noise in the images (yet incomparable to their best algorithms' performance) 120.000 users so far mapped 2% of the retina

DeepMind actually got a comp-sci paper into nature...

For future reference... At the same time, a crowdsourced article: "We began the crowdsourcing by collecting a list of possible rules for the article via a git-controlled repository" SVN would be so 2000-ish...

How many people to we actually need put on that ship?

We should invite these people to the AF special issue

sounds really interesting. their simulations don't account for biological issues (mutation, migration, selection, drift, founder effect) though, so the numbers are very low. this paper (https://ac.els-cdn.com/S0094576513004669/1-s2.0-S0094576513004669-main.pdf?_tid=6bec2a5c-f05f-4024-b4de-af78ab06fd42&acdnat=1531827379_d4f0be1b193873890d6e5b4574e82f2e) takes those effects and their implications on genetic composition of populations into account, but the numbers are enormous. do you have an idea why they (marin and beluffi) wouldn't put those effects into the simulations?

Some work by DeepMind on applying reinforcement learning to teach a computer to navigate complex environments. Come for the science - stay for the video: https://goo.gl/8rTx2F

+1 for team photon!

Seems to be a fun playground for Spiking Neural Networks right (from my newbie PoV)?

Can some of our quantum experts elaborate a bit on implications etc.? :) I'm not sure I follow.