The problem with this approach it that setting it too high may discourage skilled people in low income countries to contribute. The key is to find the right balance. Why not begin low and see if it works? You can increase it in small steps later until you reach the desired effect.

A very strict indicator that correlates with quality of healthcare is life expectancy, and according to Our World in Data , the US performance is very bad.

As you can see in the kinked chart, US life expectancy is 79.3 years for a per-capita health expenditure of $ 10,827 (PPP based on 2015 prices). Chile, for example, has a life expectancy of 81.17 years, spending $ 2,453 per capita. That's less than 23% compared to the US.

;-) Thanks

Yeah, I've read good things about Brother too. But with so many fake reviews out there, it is still relevant for me to confirm those revews here. Thank you.

Thanks.

https://en.wikipedia.org/wiki/...

Thank you for sharing this tip. it's brilliant! Not just for lectures, but for many other use cases as well. Bookmarks, links sent by messaging apps, you name it.

https://economicsociology.org/...

The training is just the tip of the iceberg. The underlying assumption is that autonomous systems "capture information from the environment", and this is completely wrong. The training --with labeled data-- takes the Shannon model at face value and simulates an environment that is sending messages tio the autonomous system. But then, when the system operates out in the wild, there is no tag in the images, so it resorts to pattern recognition. Those of you who know that error correction is a key aspect of Shannon's work can recognize that pattern recognition does not have anything remotely similar, so the confidence level on identifying an object or situation varies significantly along the way, sometimes catastrophically.

I lived there for two years, and i never ever got a spam call and never heard anyone complaining about it. I'm not sure what is that they that makes a difference, but it can't be something very esoteric or authoritarian. They are after all a very stable western democracy.

What if he actually said that, but the AI tool erased it?

Well... Blockbuster and Intel both had very profitable business models that would have concentrated the lion's share of resources, so there's a reasonable probability that the acquired companies could't have developed in the same way we see them now.

It is extremely hard for established companies to pivot towards innovative business models. And by innovative I don't mean "let's turn this product into a service and charge a monthly fee", but creating/developing markets that didn't exist before.

Awesome explanation, thanks! If you haven't readit already, I believe you would appreciate this article: From boiling lead and black art: An essay on the history of mathematical typography. Enjoy!

Congratulations! You are now the local computer expert!