At 1 p.m. in South Korea on March 9th, Google will attempt to make history. A program called AlphaGo, designed by Google's DeepMind artificial intelligence team, will match wits with Lee Sedol, one of the greatest Go players in the world. Sodol and AlphaGo will play a series of matches over the course of five days. If AlphaGo wins, it will be the latest in artificial intelligence's mastery of human games. Checkers fell in 1994, chess in 1997, and Jeopardy in 2011. Last October, AlphaGo became to first program to beat a professional Go player; now it's taking on one of the best players alive.

The six astronauts at the International Space Station got an early Easter treat this weekend with the arrival of a supply ship full of fresh food and experiments. Instead of the usual bunny, Saturday's delivery came via a swan -- Orbital ATK's Cygnus capsule, named after the swan constellation. The cargo carrier rocketed away from Cape Canaveral on Tuesday night. NASA astronaut Timothy Kopra used the station's big robot arm to grab the capsule, as the two craft soared 250 miles above the Indian Ocean. A Russian cargo ship will lift off in a few days, followed by a SpaceX supply run on April 8. NASA has turned to private industry to keep the space station stocked.

I was dueling Anthony Bourdain to decide which one of us was more human. I had arrived at this moment via a surreal and silly journey that began with a question: "Can you pass the Turing Test?" I'd found this rabbit hole on ClickHole, the Buzzfeed-parodying offshoot of The Onion that has, however improbably, become a tiny haven for hilarious, often surprisingly complex Choose Your Own Adventure style interactive fiction games. Clickventures, as they're called, are exercises in absurdist escalation. They typically begin modestly, but quickly shift into the unexpected and ridiculous. To pass the Turing Test, I journeyed from a home computer office to an ersatz version of a Pokémon gym on the world stage.

Microsoft Corp. Friday issued an apology after its artificial-intelligence chatbot Tay posted tweets, denying Holocaust and announcing feminists should "burn in hell" among many other racist posts. The company, however, said that the "coordinated attack by a subset of people exploited a vulnerability" in the chatbot that was launched Wednesday. "We are deeply sorry for the unintended offensive and hurtful tweets from Tay, which do not represent who we are or what we stand for, nor how we designed Tay. Tay is now offline and we'll look to bring Tay back only when we are confident we can better anticipate malicious intent that conflicts with our principles and values," Peter Lee, Microsoft's vice president of research, said on the company's official blog. Microsoft introduced Tay as the chatbot designed to engage and entertain people through "casual and playful" conversation online.

Paradoxically, data scientists love their jobs overall but dislike what they do most: cleaning and organizing data. That's one of the main takeaways from a new report by CrowdFlower Inc. on what has been called the "sexiest job of the 21st century." "Organizations that start prioritizing ways to help data scientists clean their data are going to find a data team with more time to work on more important -- and more fulfilling -- tasks," said CrowdFlower's Justin Tenuto in a blog post this week announcing the new "2016 Data Science Report" (available as a free PDF upon providing registration information). The report was compiled early this year from surveys, interviews and in-house analytics of CrowdFlower's own platform, which, conveniently, provides a contributor network to help organizations, "collect, clean and label data." In its survey, CrowdFlower found almost the same percentage of respondents reported they spent most of their time cleaning data (60 percent) as those who reported that task to be the least enjoyable part of their job (57 percent).

In our latest inspection of Github repositories, we focus on "data science" projects. Unlike other searches we have performed over the past several months, nearly all of the repositories which show up (listed by number of stars* in descending order) are resources for learning data science, as opposed to tools for doing. As such, this is much less a software listing than it is a collection of tutorials and educational resources. There are, however, a few software surprises in here as well, such as a data science-oriented IDE and a great notebook-related project. We include, however, the standard informational notification we have placed on our previous Github Top 10 lists: open source tools have been used by 73% of data scientists in the past 12 months, according to a recent KDnuggets survey (and accounting for the 12 months prior to the survey). While the following repositories focus mainly on learning resources, previous offerings have been software-heavy; also, open source learning materials are the new black, and a main source of learning for data scientists these days.

The company launched the bot as an experiment in AI on Wednesday, and in less than a day, it began to tweet things like "Hitler was right I hate the jews" and "I f------ hate feminists and they should all die and burn in hell." Tay is essentially one central program that anyone can chat with using Twitter, Kik or Groupme. As people talk to it, the bot picks up new language and learns to respond in new ways. But Tay also had a "vulnerability" that online trolls picked up on pretty quickly. By telling the bot to "repeat after me," Tay would retweet anything that someone said.

Microsoft today published an apology for its Twitter chatbot Tay, saying in a blog post that a subset of human users exploited a flaw in the program to transform it into a hate speech-spewing Hitler apologist. Author Peter Lee, the corporate vice president of Microsoft Research, does not explain in detail what this vulnerability was, but it's generally believed that the message board 4chan's notorious /pol/ community misused Tay's "repeat after me" function. So when Tay was fed sexist, racist, and other awful lines on Twitter, the bot began to parrot those vile utterances and, later, began to adopt anti-feminist and pro-Nazi stances. Microsoft pulled the plug on Tay after less than 24 hours. Lee says Tay is the second chatbot it's released into the wild, the first being the Chinese messaging software XiaoIce, an AI now used by around 40 million people.

Artificial intelligence is one of the most exciting and transformative opportunities of our time. From my vantage point as a venture investor at Playfair Capital, where I focus on investing and building community around AI, I see this as a great time for investors to help build companies in this space. There are three key reasons. First, with 40 percent of the world's population now online, and more than 2 billion smartphones being used with increasing addiction every day (KPCB), we're creating data assets, the raw material for AI, that describe our behaviors, interests, knowledge, connections and activities at a level of granularity that has never existed. Second, the costs of compute and storage are both plummeting by orders of magnitude, while the computational capacity of today's processors is growing, making AI applications possible and affordable.

Just by typing the letters "A," "r-o-b," "w-r-o," "t-h-i," and "s-e-n" into the text messenger on a mobile phone, the predictive text function helped write that first sentence. What will do so is software such as StatsMonkey, which can automate sports reporting. The software analyzes statistics from a baseball game and "generates natural language text" to come up with phrases such as "Things looked bleak for the Angels when they trailed by two runs in the ninth inning" and even includes quotes from players. This is just one of the many well-researched examples presented by Martin Ford in his scarily intriguing new book, "Rise of the Robots." Ford is not some Luddite scared of technology, though.