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."

If there is one subset of machine learning that spurs the most excitement, that seems most like the intelligence in artificial intelligence, it's deep learning. Deep learning frameworks--aka deep neural networks--power complex pattern-recognition systems that provide everything from automated language translation to image identification. Deep learning holds enormous promise for analyzing unstructured data. There are just three problems: It's hard to do, it requires large amounts of data, and it uses lots of processing power. Naturally, great minds are at work to overcome these challenges.

We've entered an era when computers can understand speech, computers can synthesize speech, computers can develop music, author encryption algorithms, create novel art, respond to customer support questions, and even generate new summaries and reports from data. Increasingly, humans will struggle to distinguish between computer-generated and human generated. Consequently, here's an opportunity for startups to lead, not just technologically, but more broadly. DT is a creative digital agency business based in Australia that developed a prototype that distinguishes between human speech and synthetic speech. It's one of undoubtedly many technologies which will use one machine learning model to detect another machine learning model.

In March this year, PWC released a report saying that 10 million UK jobs are at risk of being replaced by AI within 15 years. Prior to this in November 2016, the Bank of England said that AI posed a risk to almost half those employed in the UK and that a "third machine age" would hollow out the labour market, widening the gap between rich and poor. In a recent report the McKinsey Global Institute said that by 2025 AI will do the jobs of 140m knowledgeable and skilled workers globally. Let's not forget the truck drivers. In his speech at Harvard University recently, Mark Zuckerberg said that his generation will have to deal with "tens of millions" of jobs replaced by self-driving cars and trucks. In late May 2017, the International Transport Forum published a report warning that of the 6.4 million professional drivers that are projected to be needed in the US and Europe by 2030, that 4.4 million will be replaced by self-driving trucks.