The Internet of Things (IoT), Artificial Intelligence (AI) and cloud computing are three technologies that are converging to disrupt nearly every industry. IoT refers to a connected network of objects embedded with technology that enables the collection and exchange of data. Cloud computing is the storing and retrieval of data, and accessing application programs via the Internet. Artificial Intelligence is the simulation of human intelligence by machines. We are currently in the midst of the rise of the first wave of this technological convergence.

Once you really solve a problem like direct brain-computer interface ... when brains and computers can interact directly, that's it, that's the end of history, that's the end of biology as we know it. Nobody has a clue what will happen once you solve this. If life can break out of the organic realm into the vastness of the inorganic realm, you cannot even begin to imagine what the consequences will be, because your imagination at present is organic. So if there is a point of Singularity, by definition, we have no way of even starting to imagine what's happening beyond that. YUVAL NOAH HARARI, Lecturer, Department of History, Hebrew University of Jerusalem, is the author of Sapiens: A Brief History of Humankind.

The world of computing has followed Moore's Law for generations. The "law," which was developed by researcher Gordon Moore in the 1970s, says that the number of transistors that can be squeezed into a set amount of space will double every two years. It's been a reliable gauge ever since. Moore's Law may be nearing its end, however. Tom Simonite at the MIT Technology Review writes that Intel has declared in a regulatory filing what insiders have suspected: The company is slowing the release of new chips in a manner that doesn't keep pace with the law.

One day after trolls transformed Microsoft's chatbot Tay into a ditzy, Holocaust-denying monster, the company has issued an apology for failing to realize that people on the internet are dicks. "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," wrote Peter Lee, the corporate vice president for Microsoft Research, with what one imagines was a look of pained bewilderment unique to someone who just learned that 4chan exists. As anyone who followed the debacle will tell you, the most astonishing thing about it was not the revelation that trolls will troll--that's a given--but rather that Microsoft somehow didn't anticipate the very real possibility of rampant trolling. As we developed Tay, we planned and implemented a lot of filtering and conducted extensive user studies with diverse user groups. We stress-tested Tay under a variety of conditions, specifically to make interacting with Tay a positive experience.

When Google's AI beat a world champion at Go, scientists and technologists around the globe held it up as a watershed moment for AI. But why, exactly, is it so hard for a computer to play some games well? Without wanting to sound like a scene from the cutting room floor of Karate Kid, the truth is that out of seemingly simple rules can grow great complexity. Complexity that even the very best artificial intelligence systems struggles to come to grips with--at least if they're to play convincingly against a talented human. In this video, Rob Miles form the University of Nottingham in the UK explains how that complexity comes about and why computers can struggle to deal with it. Warning: This is 20 minutes long, but it is an interesting insight into the way computers handle something humans can take for granted.

The folks over at x.ai – creators of Amy, the artificial intelligence answer to scheduling meetings – have had a shot at showing exactly what it looks like inside their bot's brain, using AI, of course. The team used a powerful deep-learning model, a Recurrent Neural Network (RNN), to trawl 500,000 words in its database, looking at their sequence in a sentence to understand what they mean, then predicting how to categorize them. This year's edition of TNW Conference in Amsterdam includes some of the biggest names in tech. Without a human ever telling the RNN the definitions of different word groups, it has managed to understand that Stanford is different from Instagram, and that Jesse, Luke and Jason are names. This data was cut to down to the 3,500 most frequently used words and has then been projected into a 2D shape in order to show the relationships the AI has made between different words.

Microsoft's AI chatbot Tay was only a few hours old, and humans had already corrupted it into a machine that cheerfully spewed racist, sexist and otherwise hateful comments. Tay was developed by the technology and research and Bing teams at Microsoft Corp. to conduct research on "conversational understanding." The bot talks like a teenager (it says it has "zero chill") and is designed to chat with people ages 18 to 24 in the U.S. on social platforms such as Twitter, GroupMe and Kik, according to its website. "The more Humans share with me the more I learn," Tay tweeted several times Wednesday -- its only day of Twitter life. But Tay might have learned too much.

SAN FRANCISCO - Microsoft is "deeply sorry for the unintended offensive and hurtful tweets" generated by its renegade artificial intelligence chatbot, Tay, which was abruptly taken offline Thursday after one day of life. The company said it will bring Tay back after engineers can plan better for hackers with "malicious intent that conflicts with our principles and values," according to a blog post Friday by Peter Lee, vice president of Microsoft Research. Tay launched Wednesday with little fanfare. The experiment was aimed at 18- to 24-year-olds communicating via text, Twitter and Kik, and its AI mission was largely to engage social users in conversation. Tay was modeled on a successful chatbot launch in China, Xiaolche, that has been embraced apparently without incident by 40 million users, the post notes.

Microsoft's A.I. chatbot started out as an innocent, interesting experiment. Then the rest of the Internet showed up. Twitter users convinced Tay, the name of the chatbot, which was available via text, Twitter and Kik, to spit out offensive and racist comments, so Microsoft is giving it a break. Going offline for a while to absorb it all. Chat soon," a statement reads on the website for Tay.

A Microsoft executive said Friday that the company was "deeply sorry" for the "unintended offensive and hurtful" tweets the company's Tay chatbot delivered earlier this week. "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, the corporate vice president in charge of Microsoft Research, wrote in a blog post. While that echoes the message that Microsoft delivered earlier, Lee attempted to show how Tay wasn't simply unleashed onto the Internet without preparation. Tay was the outgrowth of a similar Microsoft chatbot known as XiaoIce, which is already "delighting" 40 million people in China, Lee explained. "The great experience with XiaoIce led us to wonder: Would an AI like this be just as captivating in a radically different cultural environment?" Lee wrote.