Note: This is Part 2 of a two-part series on AI. PDF: We made a fancy PDF of this post for printing and offline viewing. We have what may be an extremely difficult problem with an unknown time to solve it, on which quite possibly the entire future of humanity depends. Welcome to Part 2 of the "Wait how is this possibly what I'm reading I don't get why everyone isn't talking about this" series. Part 1 started innocently enough, as we discussed Artificial Narrow Intelligence, or ANI (AI that specializes in one narrow task like coming up with driving routes or playing chess), and how it's all around us in the world today. We then examined why it was such a huge challenge to get from ANI to Artificial General Intelligence, or AGI (AI that's at least as intellectually capable as a human, across the board), and we discussed why the exponential rate of technological advancement we've seen in the past suggests that AGI might not be as far away as it seems. This left us staring at the screen, ...

Artificial intelligence (AI) makes difficult tasks possible, such as sorting and recognising patterns in incredibly large data sets. The most challenging problems often have unexpected input and are often referred to as AI-compete or AI-difficult, implying the need for human-like computation. While some might think of AI as technology mostly used for complex visual tasks – or even as a far-fetched concept only found in science fiction – it's used in more ways than most people realise. That raises the question: could modern society get by without this fast-growing technology? Depending on the source, some claim AI has been around since ancient times, when the Greeks had myths about robots, and engineers from Egypt and China built automatons.

Your parents are watching the Berlin Wall being torn down, but you're upstairs in your room, fresh batteries in your Casio SA-1, prepping for your concert. The built-in beats are hot. You've been listening to the "Wake me up before you go-go" demo song and you think you've been inspired. You select instrument number 02, "HONKY-TONK PIANO." It's time to tickle the plastic ivories and burn this mother down.

Here's a hard fact that will be hard for many to accept: Yes, a robot will probably be able to do your job someday. Remember the days when you had to go to a cashier at the grocery store and you didn't have to bag your own groceries? The same thing happening in your local grocery store is also happening in factories, and even offices all over the world. And if proponents of self-driving cars have their way, it won't be long before you never again need a human to give you a ride home from the airport. But who will hold the power in this brave, new, automated world?

The test is still under development, so don't consider everything settled. With that said, it's no shock that this experiment exists in the first place. Both the tech world and politicians have been floating the idea of basic income for a while. Moreover, Silicon Valley is increasingly convinced that it can solve many of the world's ills -- witness efforts by Facebook and Google to bring internet access to less fortunate regions. Of course, whether or not the concept succeeds is another matter. Y Combinator argues that the march of technical progress will not only make basic income necessary at some point (once the robots have your job), but lower the cost of living enough to make the concept realistic.

U.S. officials also said that American forces provided some support to an African-led military operation in Somalia that targeted Mohamed Dulyadayn, who is believed to be the mastermind of the Garissa University attack in Kenya in April 2015 which killed 148 people.

SAY it out loud and the machines will know. Search engines are moving beyond the web and into the messy real world. Every call into or out of US prisons is recorded. It can be important to know what's being said, because some inmates use phones to conduct illegal business on the outside. But the recordings generate huge quantities of audio that are prohibitively expensive to monitor with human ears.

A Somali policeman holds his position during a firefight with Islamist al-Shabab gunmen in Somalia's capital Mogadishu on Nov. 1, 2015. WASHINGTON -- The Pentagon says a U.S. drone strike on Friday targeted a senior military commander of al-Shabab in Somalia. U.S. officials say they can't confirm yet if he was killed. Pentagon press secretary Peter Cook says the strike targeted Abdullahi Haji Da'ud, a key coordinator of al-Shabab attacks in the region. Da'ud also previously served as head of the group's intelligence.

We're happy to announce Magenta, a project from the Google Brain team that asks: Can we use machine learning to create compelling art and music? Soon we'll begin accepting code contributions from the community at large. If you'd like to keep up on Magenta as it grows, you can follow us on our GitHub and join our discussion group. First, it's a research project to advance the state of the art in machine intelligence for music and art generation. Machine learning has already been used extensively to understand content, as in speech recognition or translation.

This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse.com. Other bigger lists (sometimes created by robots) can be found here and are usually based on your Klout score, which in my opinion is not accurate. The list below is truly original and I would even add, somewhat unexpected, as you won't find Bernard Marr, Kirk Borne and other well known gurus. Just in case you're wondering, @FILWD stands for Fell In Love With Data, which happens to be the name of Enrico Bertini's blog. While the Assistant Professor at NYU doesn't talk much on Twitter himself, he uses the platform very effectively to share news and insights about data visualizations and adds his highly-valued opinions.