A new tool that could allow us to easily identify fake online profiles has been developed. Researchers trained computer models to spot Pornhub users who made up information about themselves, commonly known as catfish. The system is designed to identify people who are dishonest about their age or gender by studying their writing style and how they comment on posts. It works with more than 90 per cent accuracy, and scientists believe it could help to ensure the safety of social networks. Researchers trained computer models to spot users of Pornhub who made up information about themselves, commonly known as catfish.

USA Today reporter Rachel Sandler asked people in San Francisco if apps are as popular as Apple says. Do people even care about apps anymore? Let's step back in time for a moment and imagine going back to using foldable maps or Web printouts for directions, hailing cabs (or even taking a bus!), and no social tools to share those daily self-portraits. Shazam is the most recent. Apple kicked off its big Worldwide Developers Conference in San Jose this week with a humorous video showing what that app-less world might be like.

Scientists, data scientists that is, from the University of Adelaide in Australia have announced that they have managed to build an Artificial Intelligence (AI) that can predict when people are going to die, and it's 70 percent accurate, but unlike the AI's I've talked about before that can predict how long people who have had heart attacks have left to live, more accurately than human doctors, this one is different – it can predict when you're going to die irrespective of the state of your current health because it uses deep learning to analyse a range of different scans, such as CT scans, to search for the signs, and assess the severity of, heart disease, cancer, and other diseases. For example, look at it this way – if I asked you how long you thought you were going to live, and you exercised every day, had the perfect diet and had no history of hereditary diseases in your family's lineage then it's likely you'd be able to tell me, with some degree of confidence, that your chances of living beyond eighty years old were good. On the other hand though, if you never exercised, had an awful diet of alcohol, lard and sugar, and your family had a history of hereditary diseases then you might tell me that the chances of you living beyond eighty could be slim. See, in one fell swoop you've assessed the state of your overall health, roughly assessed the risk factors in your head and calculated the rough odds of how long you think you have left to live. And that's what this AI is being trained to do, except for the fact that rather than relying on gut instinct it's analysing real time scans and correlating the patterns it's seeing against a huge dataset of patient information.

China is pouring resources into artificial intelligence to nurture world-class companies that can compete with the likes of Google and IBM in building intelligence machines.(AP In China's quest to shed its reputation as a land of copycats, the world's second-biggest economy is pouring resources in to the hottest area in technology innovation: artificial intelligence. With the goal of nurturing world-class companies that can compete with the likes of Google and IBM in building intelligent machines, the Chinese leadership singled out AI as a key area of development in a report released during the National People's Congress in March. Soon after, the country's biggest technology companies -- Alibaba, Baidu and Tencent -- announced plans for AI laboratories and projects worth billions of dollars. Many analysts believe AI is one area China can excel.

Thinking about how and when you'll die might be morbid, but it has creeped into everyone's mind at some point. Online tools like The Death Clock provide a very unscientific, and entertaining, prediction of your demise, but researchers have figured out a way to estimate a person's lifespan with 69 percent accuracy. In a very small study of 48 participants, all of whom were at least 60 years old, scientists from the University of Adelaide in Australia analyzed photos of people's organs using artificial intelligence. They were able to predict who would die within five years with 69 percent accuracy, which is roughly the same as an oncologist's. Using deep learning, which involves inputting data into a computer system to help it make decisions, the researchers used radiological images because they provide undetectable clues, according to study co-author and epidemiologist Dr. Lyle Palmer, Ph.D, in a story on ResearchGate.

Her company Wearable X designed Fundawear -- vibrating underwear for couples in long distance relationships that can be controlled by smartphones. It also created the Fan Jersey -- a shirt that uses haptic vibrations so sports fans can "feel" players' emotions during a game. Whitehouse's first product that's available for people to actually purchase is NadiX yoga pants. The pants have five sensors sewn in to help the wearer improve form for 30 different yoga poses. Once in a pose, the sensors vibrate in specific ways to tell you how to adjust your hips, knees or ankles.

Artificial Intelligence systems are becoming the new warriors in disease diagnosis and can even accurately predict when you are going to die. Scientists at the University Of Adelaide in Australia have developed an Artificial Intelligence system that can accurately predict a human's life expectancy. The system was developed through research that examined the CT scan of 48 patients. Looking at the scans, the deep learning algorithms gave a'diagnosis' of whether the patient would die within 5 years. The prediction has a 69% accuracy rate, a score'similar' to the accuracy of human doctors.

In retailer management, the Newsvendor problem has widely attracted attention as one of basic inventory models. In the traditional approach to solving this problem, it relies on the probability distribution of the demand. In theory, if the probability distribution is known, the problem can be considered as fully solved. However, in any real world scenario, it is almost impossible to even approximate or estimate a better probability distribution for the demand. In recent years, researchers start adopting machine learning approach to learn a demand prediction model by using other feature information. In this paper, we propose a supervised learning that optimizes the demand quantities for products based on feature information. We demonstrate that the original Newsvendor loss function as the training objective outperforms the recently suggested quadratic loss function. The new algorithm has been assessed on both the synthetic data and real-world data, demonstrating better performance.

Swapping your face for a friend's is about to get more sophisticated, thanks to a new app. While the feature itself is nothing new, originally gaining popularity as a Snapchat filter, Microsoft's effort promises to create more realistic results. The Face Swap app also allows you to place your face in different scenes and scenarios found online, a feature unique to the newly launched software. To get started, you just have to take a selfie or choose from an existing image from your smart device's image gallery (left). By combining facial recognition software with Microsoft's Bing search engine, Face Swap lets you to transpose your image into any number of online images. The possibilities would seem to be as unlimited as the search results themselves, allowing you to appear in everything from an astronauts space suit to a taking the place of your favourite celebrity.

Most artificial intelligence is actually not human-shaped robots or talking computers. The risk of artificial intelligence to jobs should be considered by a Government working group, a law firm and a business organisation say. In a call to action paper, the Institute of Directors and law firm Chapman Tripp have highlighted the risks, opportunities and challenges that artificial intelligence presents. Institute chief executive Simon Arcus said artificial intelligence had the greatest potential to affect people's jobs. "What we don't want to have is a whole lot of efficiencies created by artificial intelligence that displaces people and leaves people with no jobs and no future."