More than two weeks after Facebook revealed a massive data breach, we still don't know who was using the flaw in its site to access information on tens of millions of users. Now the Wall Street Journal reports, based on anonymous sources, that the company believes spammers perpetrated the hack in an attempt to make money via deceptive advertising. Facebook eventually said that about 30 million people actually had their login tokens stolen (you can see if your account was among them by checking this page), and said that the attackers took account details and contact information. Still, the paper said "internal researchers" believe the people behind it are existing Facebook and Instagram spammers who claim to run a "digital marketing company." The lines between misinformation spread by nation-state sponsored trolls, shady analytics companies and spammers chasing trendy topics to make a buck have become increasingly blurred in recent years, so it's difficult to know if this adds up or if we'll ever know who exactly stole the information and where it ended up.

Convolutional neural networks have been successfully applied to various NLP tasks. However, it is not obvious whether they model different linguistic patterns such as negation, intensification, and clause compositionality to help the decision-making process. In this paper, we apply visualization techniques to observe how the model can capture different linguistic features and how these features can affect the performance of the model. Later on, we try to identify the model errors and their sources. We believe that interpreting CNNs is the first step to understand the underlying semantic features which can raise awareness to further improve the performance and explainability of CNN models.

Derpfakes uses the same tools from the controversial porn to make experimental face-swapped movie and TV footage. The account has posted videos from Toy Story, Star Trek, and The Room. Star Wars is also a favorite target because of the recent use of questionable CGI characters to stand-in for aged and deceased actors. The latest post tackles Solo, replacing star Alden Ehrenreich with a young Harrison Ford. The results aren't perfect, but it's impressive for something done with essentially no budget.

If you've spent much time on Nanalyze, you know that we're passionate about technology and believe that we're living in the most exciting times in history. Our job is to keep you up-to-date about these changes in a variety of fields, so you can make informed financial decisions about where to invest or not--and learn some pretty cool stuff along the way. We talk about the good, the bad and ugly no matter what. Then we came across Narrative Science and its natural language generation (NLG) platform Quill, which uses artificial intelligence technology to write everything from financial reports to sports news. We knew that English degree would be obsolete someday.

There's a specific kind of frustration associated with crappy game-streaming services. It's all about the buildup: You find a game, whether it's something brand new or a long-lost childhood favorite, and boot it up. It takes forever to load. The title screen stutters and your heart drops, but it's easy to convince yourself it was just a bout of preliminary jitters. And then the game begins.

Tiny dandelion seeds have been known to waft up to 500 miles (800km) just using the power of the wind. Now scientists have found out their secret and say their super efficient mini parachutes could revolutionise designs for remote-controlled stealth drones. Never-before-seen air bubbles that surround the seeds on the yellow-flowered weed are believed to be the secret to one of'nature's best flyers'. Dandelion seeds are said to be four times more efficient than what is currently possible with man-made parachute designs. Tiny dandelion seeds have been known to waft up to 500 miles (800km) just using the power of the wind.

Robots are coming for our jobs, and the work left over for humans is getting worse and paying less. Changes in technology and culture over the past decade have created jobs your high school guidance counselor could never imagine in their wildest dreams. Meanwhile, the safe, traditional jobs like lawyering and doctoring come with ever-increasing price tags and fewer career prospects. Unless the post-work utopia theorists are raving about comes around soon, picking your career is one of the most important choices of your life. You might as well make it one that's fulfilling and cuts a decent paycheck.

What finally broke me was the recipes. On July 1, I abandoned Google search and committed myself instead to Bing. I made it the default search mode in Chrome. Since then, for the most part, any time I've asked the internet a question, Bing has answered. But also an earnest attempt to figure out how the other half--or the other 6 percent overall, or 24 percent on desktop, or 33 percent in the US, depending on whose numbers you believe--finds their information online. The second-largest search engine by market share in the US, and one of the 50 most visited sites on the internet, according to Alexa rankings. I wanted to know how those people experienced the web, how much of a difference it makes when a different set of algorithms decides what knowledge you should see.

WHEN SOPHIA THE ROBOT first switched on, the world couldn't get enough. It had a cheery personality, it joked with late-night hosts, it had facial expressions that echoed our own. Here it was, finally -- a robot plucked straight out of science fiction, the closest thing to true artificial intelligence that we had ever seen. There's no doubt that Sophia is an impressive piece of engineering. It didn't take much to convince people of Sophia's apparent humanity -- many of Futurism's own articles refer to the robot as "her."

In India over 50,000 jobs in the Data Science and Machine Learning space are vacant, for want of skilled professionals, finds a state of the industry report by ed-tech platform, Great Learning. This is despite the rapidly growing demand for Data Science professionals in India; with the number of job postings and job seeker interest for'Data Scientist' reaching an all-time high in 2017. The job market in this space is heavily tilted towards job seekers, with twice the number of jobs, than available talent. The report is based on a study of 28000 participants across 3000 organizations in India. According to Gartner, out of 10 lakh registered companies in India, 75% have invested or are going to invest in Machine Learning and Data Science.