A recent article in Techcrunch describes Twitter and Facebook issues: algorithms unable to detect fake news or hate speech. I wrote about how machine learning could be improved, and what can make implementations under-perform - or not perform at all. And a colleague shared with me an article about how Facebook really sucks at machine learning. You would think that machine learning simply does not work, at least not as advertised. Here, I actually claim that this is not the case, further explaining what the issues might be, and in short, that machine learning might not be the culprit. It seems that the issues appear in situations that are not critical - such as an ad badly targeted, a racist tweet that goes undetected, or a piece of fake news that goes viral.

Is it time to buy into AI stocks? Artificial intelligence can pick our stocks. But should investors be picking artificial intelligence? AI has long been a popular theme in sci-fi movies, but its potential is now entering the real world as computers start driving cars, beating the world's best Go player, figuring out what we want to buy (in my case, apparently, a Lexus) and constructing investment portfolios. To continue reading this article, you must be a Globe Unlimited subscriber.

The hottest ticket in tech is an invitation to a banal South Florida business park, indistinguishable on the outside from countless other office buildings that dot America's suburban landscape. Humanoid robots walk down the halls, and green reptilian monsters hang out in the lounge. Cartoon fairies turn the lights on and off. Even the office equipment does the impossible. The high-definition television hanging on the wall seems perfectly normal. Incredibly, it is now levitating in midair. Get as close as you'd like, check it out from different angles.

In the new Syfy series "Incorporated," it is the year 2074 and global warming has had its way with the world, 90% of which is controlled by multinational corporations who war over "dwindling resources." Some would say that this is already the case. Premiering Wednesday, it is a sometimes clever, just as often clichéd mix of dystopian tropes, with performances ranging from nicely modulated to almost over the top, and some sly design that, along with some twisted PSAs, also accounts for most of the story's humor. It is quite watchable and nothing special. Science fiction, it has often been noted, is all about the present and, besides the full-bore climate disasters we're rehearsing now, there are references to Canada building a fence to keep the Americans out, a declaration that "the system was rigged" (meaning the insurance business, but still), and midterm elections to which only 22% of voters turn out.

SkyPixel and drone maker DJI teamed up for a contest that features both'enthusiast' and'professional' groups to which users can submit their photos taken by drones. Pictured is'Infinite road to Transylvania', an image by Calin Stan. Apple's spaceship is almost ready for takeoff: Latest drone... Meet Tim, the rolling robot that keeps CERN running:... Australia's Great Barrier Reef in crisis as scientists... From ripping flesh from the dead to EATING their remains:... Apple's spaceship is almost ready for takeoff: Latest drone... Meet Tim, the rolling robot that keeps CERN running:... Australia's Great Barrier Reef in crisis as scientists... From ripping flesh from the dead to EATING their remains:... Dirkie Heydenrych is next with his'Ship Wreck at L'Agulhas' (pictured), which he used a DJI Phantom 3 Advance drone to capture. It shows a deteriorating vessel in the sea off the coast of South Africa. 'Dronie' by Manish Mamtani is next, which he used a DJI Phantom 3 while shooting in New Hampshire.

Most existing word embedding approaches do not distinguish the same words in different contexts, therefore ignoring their contextual meanings. As a result, the learned embeddings of these words are usually a mixture of multiple meanings. In this paper, we acknowledge multiple identities of the same word in different contexts and learn the \textbf{identity-sensitive} word embeddings. Based on an identity-labeled text corpora, a heterogeneous network of words and word identities is constructed to model different-levels of word co-occurrences. The heterogeneous network is further embedded into a low-dimensional space through a principled network embedding approach, through which we are able to obtain the embeddings of words and the embeddings of word identities. We study three different types of word identities including topics, sentiments and categories. Experimental results on real-world data sets show that the identity-sensitive word embeddings learned by our approach indeed capture different meanings of words and outperforms competitive methods on tasks including text classification and word similarity computation.

B2B marketing trends for 2017 will be like the movie Terminator 2. I came to this realization last night while searching for a classic sci-fi flick. If you know the story, you know that machine Arnold gets friendly with John Connor in the sequel. Because there's better, more evolved technology out there to contend with, aka the crazy-powerful T2000. My point is, B2B marketing trends in 2017 will be about making the best things better. Machine learning will go big this year.

The show stars former Mythbusters members Kari Byron, Tory Belleci and Grant Imahara, and it's set to premiere on Netflix on December 9th. This time around, Byron, Belleci and Imahara aren't just investigating strange scientific phenomena or seemingly impossible movie scenes; they're ranking history's weirdest inventions, heists and happenings, and seeing how science makes them possible. In its first trailer, White Rabbit Project shows off a few familiar Mythbusters tropes, including explosions, wacky robotics, big guns and mild torture in the name of science. There's everything from training pigeons to robot jousting, and even an attempt to eat a fancy meal with electrodes intermittently zapping the hosts' muscles. We first heard about White Rabbit Project in September.

In the video above I talk about why Episode 9 of Westworld turned out to be one of my favorite episodes of the series so far, because of these fantastic performances. It really epitomizes why this series is so different from any other series, because these actors are so great and so fantastic. Yes, Westworld is very much based on that mystery, that wondering what will happen next, that plot twist, but not more so than the amazing performances that we're seeing from Jeffrey Wright playing Bernard, and Anthony Hopkins as Ford. Just watching these two actors go at it and perform and really wrestle with such internal conflict as they're thinking about what it means to be human, as they're thinking about the nature of reality and why things are important to us and how memory affects us and then steers us moving forward and sometimes holds us back. Watching Jeffrey Wright struggle with these concepts in the series has been remarkable, more so than any plot twists having to do with Bernard.

If you get your news from social media, as most Americans do, you are exposed to a daily dose of hoaxes, rumors, conspiracy theories and misleading news. When it's all mixed in with reliable information from honest sources, the truth can be very hard to discern. In fact, my research team's analysis of data from Columbia University's Emergent rumor tracker suggests that this misinformation is just as likely to go viral as reliable information. Many are asking whether this onslaught of digital misinformation affected the outcome of the 2016 U.S. election. The truth is we do not know, although there are reasons to believe it is entirely possible, based on past analysis and accounts from other countries.