If you're a drone pilot who doesn't wear an Air Force uniform, chances are your aircraft looks something like a square with four rotors, a battery, and maybe a camera. The classic quadcopter, after all, works just fine. Well, maybe because you want a drone with five rotors. Or you want to mount the camera on top of the drone, not below. Or you want a drone shaped like a rabbit because you quite like rabbits and why the heck not?

Dear Liz: A friend of mine received a 2016 tax refund of over $9,000 even though this person did not pay nearly that amount in taxes over the course of the year. My friend has a fairly low-paying job with no benefits, is a single parent of two young children and receives no support from the children's other parent. Given this scenario, is it possible to get a tax refund in an amount greater than what you paid in taxes? Answer: Absolutely, and these refundable credits keep millions of working Americans out of poverty each year. Refundable credits are tax breaks that don't just offset taxes you owe but also can give you additional money back.

This is the way the world ends: not with a bang, but with a paper clip. In this scenario, the designers of the world's first artificial superintelligence need a way to test their creation. So they program it to do something simple and non-threatening: make paper clips. They set it in motion and wait for the results -- not knowing they've already doomed us all. Before we get into the details of this galaxy-destroying blunder, it's worth looking at what superintelligent A.I. actually is, and when we might expect it.

What do you think of when you hear the phrases "Future Tech" or "Science Fiction Technology?" Humanoid robots walking the streets? Today we're looking at science fiction #technology that was once just a fantasy, that is now part of our daily life. We are also going to take a peek at some of our favorite sci-fi tech, and see how close it is to being a reality. "Individual science fiction stories may seem as trivial as ever to the blinder critics and philosophers of today - but the core of science fiction, its essence, the concept around which it revolves, has become crucial to our salvation if we are to be saved at all." ("My Own View," The Encyclopedia of Science Fiction) Believe it or not, credit cards were first mentioned in science fiction. You might expect that the individual who envisioned the credit card to be a genius businessman or bank executive of some sort, however the person who first developed the idea of the modern credit card system was a Utopian science fiction author Edward Bellamy.

Some of the world's best known brands have invested millions of dollars in information security. Malicious actors are counting on the fact that your defenses are operated mostly by humans who make changes. When you moved into your neighborhood, did you change your locks or do you have the exact same ones as all your neighbors? Think about what could happen if a thief can compromise just one of those shared locks? For some reason the world of information security has a same-lock mentality.

Online knowledge repositories typically rely on their users or dedicated editors to evaluate the reliability of their content. These evaluations can be viewed as noisy measurements of both information reliability and information source trustworthiness. Can we leverage these noisy evaluations, often biased, to distill a robust, unbiased and interpretable measure of both notions? In this paper, we argue that the temporal traces left by these noisy evaluations give cues on the reliability of the information and the trustworthiness of the sources. Then, we propose a temporal point process modeling framework that links these temporal traces to robust, unbiased and interpretable notions of information reliability and source trustworthiness. Furthermore, we develop an efficient convex optimization procedure to learn the parameters of the model from historical traces. Experiments on real-world data gathered from Wikipedia and Stack Overflow show that our modeling framework accurately predicts evaluation events, provides an interpretable measure of information reliability and source trustworthiness, and yields interesting insights about real-world events.

Gloomy predictions abound that the applications of artificial intelligence and machine learning will put huge numbers of people out of work in the coming years. But the corollary is that these technologies create opportunities to develop new goods and services that will bring new jobs. What's certain is that advanced implementations of computer science are beginning to disrupt our lives. We must start thinking about how these technologies are applied and regulated if we are to reap the benefits and minimise potential harms. The introduction of the steam engine in the 18th century disrupted the life of the agricultural labourer and fuelled the rise of cities, creating new industries and new jobs. Traditional professions such as medicine and law were largely unchanged. But the latest industrial revolution has the potential to change almost every form of work.

To function effectively in this knowledge economy, you need to read through trillions of data points. You basically need to go back to school every day to answer the questions that hit your desk. That is the challenge of the knowledge economy. And that is where I believe we can do something different in security with AI and cognitive.

On Friday, Treasury Secretary Steve Mnuchin said he's "not worried at all" about artificial intelligence replacing human workers because it's "50-100 more years" off. In reality, data shows this is already happening -- with an estimated 38 percent of existing U.S. jobs at risk of being turned over to machines by 2030, according to research from PwC. Another study put out by the University of Oxford last year had similar estimates: The researchers found that 47 percent of US jobs were at risk of automation in the next two decades. But despite justified fears of obsolescence in the West, it is actually developing economies that are poised to be hit the hardest by fourth Industrial Revolution, or "Industry 4.0," where machines are networked together in "smart factories" that have little need for human input. This is already evident in China, where the domestic economy exploded in the last two decades thanks to Western companies that moved their manufacturing operations there.

TOKYO Toshiba Corp will likely miss a third deadline to report its quarterly business results, two sources told Reuters, forcing the Japanese conglomerate to ask for a fresh extension or face a possible delisting from the Tokyo Stock Exchange.