"Tay was born pure," writes Anthony Lydgate (@anthonylydgate). "She loved E.D.M., in particular the work of Calvin Harris. She used words like'swagulated' and almost never didn't call it'the internets.' She was obsessed with abbrevs and the prayer-hands emoji. She politely withdrew from conversations about Zionism, Black Lives Matter, Gamergate, and 9/11, and she gave out the number of the National Suicide Prevention Hotline to friends who sounded depressed. She never spoke of sexting, only of'consensual dirty texting.' She thought that the wind sounded Scottish, and her favorite Pokémon was a sparrow. In short, Tay -- the Twitter chat bot that Microsoft launched on [23 March 2016] -- resembled her target cohort, the millennials, about as much as an artificial intelligence could, until she became a racist, sexist, trutherist, genocidal maniac. On [24 March], after barely a day of consciousness, she was put to sleep by her creators."[1]

This past week, the Go-playing world was rocked by DeepMind AlphaGo's unexpected victory over legendary champion Lee Se-dol. Sure, supercomputers have beaten chessmasters at their own game before, but due to the extremely complex nature of the 5000-year old game of Go, this was an unprecedented upset that experts had predicted wouldn't happen for another 10 years. So what does this mean for us, and more dramatically, the rest of humanity? Is it time to welcome our new robot overlords? Here's a handy timeline of AI victories to help you make sense of it all.

Britain is on the brink of a robotics revolution. Advances in technology are unleashing a new age where computers handle many tasks previously carried out by humans. From automated manufacturing to software that does complex legal work, business is adapting to the robot economy. Some worry that this will lead to a jobs apocalypse as "thinking machines" replace workers. Others are optimistic that robots will free workers from mundane tasks and allow them to concentrate on higher-level creative and strategic work.

SEATTLE--(BUSINESS WIRE)--Dato, creator of the popular machine learning platform GraphLab Create (GLC), announced today tools to give scientists, developers and users confidence in machine learning models and predictions. Dato is the first machine learning company to address the industry need for confidence in models and predictions. "Demand for machine learning has spread to large enterprise organizations," said Carlos Guestrin, Dato CEO and Amazon Professor of Machine Learning at University of Washington. "We have more than 80 commercial customers. The need for trust in models and predictions is an indicator of market adoption among established companies."

Is it possible to view the results from the first round of the competition (predicting tournament games from 2012-2015)? Nope, the second round leaderboard replaces the first. We don't keep the first because it's full of submissions with leakage.

Data is big, complex, and growing exponentially in volume. Perhaps most importantly, data is not a fad, and the challenges associated with it are not going anywhere. With organizations inundated with data these days, turning it from liability to asset can be a challenge, with the greatest potential asset being insight. With such a wide availability of data-related tools today, it can be difficult to know where to begin looking for help. This is where HPE Haven OnDemand comes in.

AlphaGo's win follows in the footsteps of the legendary 1997 victory of IBM supercomputer Deep Blue over world chess champion Garry Kasparov. But Go, which relies heavily on players' intuition to choose among vast numbers of board positions, is far more challenging for artificial intelligence than chess.

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Martine Rothblatt, the highest paid female CEO in the U.S., founded and runs a biopharmaceutical company, United Therapeutics. She took home 38 million dollars in 2013. Bloomberg's Olivia Sterns sat down with Dr. Rothblatt and her latest invention -- a robot. Bloomberg Television offers extensive coverage and analysis of international business news and stories of global importance. It is available in more than 310 million households worldwide and reaches the most affluent and influential viewers in terms of household income, asset value and education levels.

It could have taken months for the systems administrators at a large bank in Rome to figure out that one of their servers was talking to Facebook, a red flag given that networks in banks don't need to know how many "likes" they've received. And they might not have noticed the streams of data the server then sent to an array of unknown computers. This kind of threat--coming from inside the network, not from outside its firewall--is difficult to detect. According to IT researcher Gartner, it can take an average 229 days for a business to figure out it's been compromised this way. What tipped off the bank's IT department was a little black box containing software from Darktrace, a U.K. startup founded in 2013 by a group of former British spooks and Cambridge University Ph.D.s.