FiReaNG3L

Depends on the scale - we are talking mass vaccination of the whole planet here.

Didn't have the computer to run this at the time (not enough RAM!) but I was SO EXCITED that I opened the files with a text editor and read the bits of text that were sprinkled in the binary, and even that was so immersive and exciting (for 7 years old me).

Oh I've been doing that... but it's a lot of tedious manual work (5!!! clicks per recommendation)

What's impressive to me is that YouTube Recommendation are so ... stale. All it recommends to me is content from the same 3 categories, and the same videos over and over and over (you would think if I didn't click on the suggestion in the past 6 months it would adjust).

Now the topics it recommends to me are non-political, but I can very well see that if you fall down one of more extremist rabbit holes thats all you will be fed on your recommendation page for months.

You mean, like the previous generation did?

Stock market feels like a big whole gambling machine at the moment, between QE and manipulation of this sort...

Where the control group of no one wearing masks had an infection rate of...?

Interesting to note that the very same tool can be used to optimize the 'worst' maps as well.

This is BIG for machine learning adoption! 2 years ago it was a nightmare to setup everything on a Windows box, and wasn't working in any VMs (WSL or VirtualBox). Very excited about this.

One of the big reasons why I quit R 10 years ago and never looked back - Python wasn't secretely converting anything, AND failing silently when its not the expected type.

Too many people on the planet - feed these 820M hungry people and in 20 years you have 2B hungry people instead. We should provide for a better quality of life for fewer people (in all countries), but given human nature, population control is not exactly feasible.

Somewhat related - every natural population experiencing exponential growth over the long term collapses. And even drastic measures like reducing the population by half only buys you one 'doubling time' which since the 1900s for humans is a very short time... anyone seeing the population graph and thinks this is sustainable is crazy.

https://cnx.org/resources/87c6cf793bb30e49f14bef6c63c51573/F...

If you have pressure under your thighs, you might need some kind of footrest - it solved my problem entirely with my Aeron.

No, surprised not to see it higher on this list honestly!

Looks like a mistake, domains are $10/year

What does happen very frequently however is a prestigious researcher being asked to review papers, and passing them to his/her postdocs.

I had to google it so I don't think im alone here:

TIM = Thermal Interface Material

The only thing I want from Jupyter notebook is easy version control workflow - not sure what's the best option is right now but last time I checked it was 'delete all outputs before commit' which is great in many cases.

I think the US gave away too much democracy to too many countries lately, they seem to have very little left for themselves.

I really think they should get another name, it's confusing for no real gain, especially if they intend to go their own way. A good grammar-based language to make plots in python is needed, not sure we need to be restrained by all the R legacy and quirks.

Yeah but it's anonymous / via bitcoin, no one could stop you from doing a 1000 'small' donations under a 1000 different identities, yet you control them all?

Do we know for sure that a single individual / investment group doesn't hold a majority of shares and is just a normal VC with the added benefit of random people adding their money to the fund for no real benefit to them? If it's the case this whole thing could be a way to take risks you couldn't take with your name + the additional PR from the model.

It is already the case - go try and pursue a career in academia and see how much money you make compared to a plumber.

50-100k nodes, as posters above said, it's very variable on the network structure, but for me I get highly information clusters. Try increasing your cutoff for interaction via edge weight might help.

Thanks to the Gephi team for this long-awaited update - for me, Gephi an essential tool in many aspects of my scientific work, as it allows to express visually very complex datasets of almost any type (interactions between proteins, binding of certain genomic elements, etc) as well as overlay by color or size additional parameters (expression of genes, conservation, mutation rate in the population) - endless possibilities!

From my initial impressions the performance is A LOT better for large networks, which can mean only one thing - I can now play with even LARGER networks :)

I hoped for a minute that they shared their complete implementation; anyone aware of a recommendation system that can scale to millions of items, be updated as soon as new items come in (no full graph recalculation) and take multiple inputs (ratings, saved in library, etc)?

Anyone knows what software was used to make the visualization?

Is this still being developed? The last commit on github was 6 months ago.

Original source: https://www.facebook.com/robert.h.goldberg

"We're impoving transformy"

Start by improving your proofreading :)

Footnotes for a 1 liner?