Predicting death has long been a fascination for mankind, and now a new app promises to narrow the end of your life down to the nearest 36.5 days. Experts in Russia designed a free app dubbed Gero, which uses AI to analyse activity data from your phone accelerometer to estimate your lifespan within a tenth of a year. When combined with information recorded by wearable fitness monitors, this prediction becomes even more precise. The estimate will even be revised downwards if you don't keep up with your healthy living routines, hopefully adding an incentive to stick to them. Exactly when we shuffle off this mortal coil has long been a fascination for mankind and a new app promises to narrow this down to the nearest 36.5 days.

In a sign Macron's efforts to woo top scientists and businesses may be starting to bear fruit, Samsung Electronics, Japan's Fujitsu and London-based Google-owned Deepmind announced plans to beef up their operations in Paris earlier.

When Giulio di Sturco takes a portrait, he tries to capture the essence of his subject--what some might call their soul. But that was impossible with his latest subject, Sophia: She doesn't have one. Behind her bright green eyes and soft, glowing skin--made from something called "frubber"--lies an armature of microchips, sensors, and other gadgetry that allow her to blink, smile, and pose for di Sturco's camera. "At first glance you don't know if she's human or not," di Sturco says, "but then you see the details, the brain." The Hong Kong-based company Hanson Robotics first switched Sophia on February 14, 2016.

Cryptocurrency and artificial intelligence technologies took center stage this week at Slush Tokyo, one of the nation's largest tech conferences and an annual event that brings together startups, investors and more established businesses. This year's conference featured many speakers, panel discussions and startups moving into the rapidly growing world of cryptocurrency and AI. Cryptocurrencies, or virtual currencies, can usually be traded without the intermediation of a central authority, with the most famous being bitcoin. But the underlying technology has spawned a number of other similar virtual currencies and other new funding mechanisms. "This is the fourth time we had the event," said Antti Sonninen, CEO of Slush Tokyo.

I'm sure you've probably heard about the 2018 FIFA Football World Cup in Russia everywhere during the last few months. And, if you are a techy too, I guess you also have realized that Machine Learning and Artificial Intelligence are buzzwords too. So, what better way to get ready for the World Cup than by practicing in a project that combines these two hot topics? In order to do that, we're going to leverage a dataset of the Fifa 2018 video game. My goal is to show you how to create a predictive model that is able to forecast how good a soccer player is based on their game statistics (using Python in a Jupyter Notebook).

I'm sure you've probably heard about the 2018 FIFA Football World Cup in Russia everywhere during the last few months. And, if you are a techy too, I guess you also have realized that Machine Learning and Artificial Intelligence are buzzwords too. So, what better way to get ready for the World Cup than by practicing in a project that combines these two hot topics? In order to do that, we're going to leverage a dataset of the Fifa 2018 video game. My goal is to show you how to create a predictive model that is able to forecast how good a soccer player is based on their game statistics (using Python in a Jupyter Notebook).

It is hard to imagine a more scathing indictment of our ability to read another's thoughts and intentions than our inability to predict Donald Trump's next move. From the gross pre-election misjudgments to postelection bafflement, the best pundits are at a loss to accurately anticipate his response to matters like North Korean military aggressiveness or his moment-by-moment political gyrations and opinion reversals. Labeling Trump a narcissist, psychopath, megalomaniac or attention-impaired, or all of the above, might feel explanatory, but even when armed with the best psychoanalytic insights, we have no idea what he will do when presented with a new or unforeseen circumstance. If conventional psychology isn't up to the task, perhaps we should step back and consider a tantalizing sci-fi alternative -- that Trump doesn't operate within conventional human cognitive constraints, but rather is a new life form, a rudimentary artificial intelligence-based learning machine. When we strip away all moral, ethical and ideological considerations from his decisions and see them strictly in the light of machine learning, his behavior makes perfect sense. Consider how deep learning occurs in neural networks such as Google's Deep Mind or IBM's Deep Blue and Watson.

In humans, the profound biological differences that exist between the sexes mean that a single male is physically capable of having far more children than is a single female. Women carry unborn children for nine months and often nurse them for several years prior to having additional children.1 Men, meanwhile, are able to procreate while investing far less time in the bearing and early rearing of each child. So it is that, as measured by the contribution to the next generation, powerful men have the potential to have a far greater impact than powerful women, and we can see this in genetic data. The great variability among males in the number of offspring produced means that by searching for genomic signatures of past variability in the number of children men have had, we can obtain genetic insights into the degree of social inequality in society as a whole, and not just between males and females. An extraordinary example of this is provided by the inequality in the number of male offspring that seems to have characterized the empire established by Genghis Khan, who ruled lands stretching from China to the Caspian Sea. After his death in 1227, his successors, including several of his sons and grandsons, extended the Mongol Empire even farther--to Korea in the east, to central Europe in the west, and to Tibet in the south.

It's impossible to read about technology today without running headfirst into artificial intelligence (AI) and the topics under its umbrella: autonomous driving, machine learning, deep learning, ethics/law/regulation, military applications, healthcare, FINTECH, and even customer experience. At that second level, it's startling how much one encounters China and its extraordinary investments in artificial intelligence. Chinese advancements are fascinating, but for me, at least, also downright worrisome -- what I'll call my "fascinated skepticism". Please enjoy the articles below as you head into the weekend. China's Swarms of Smart Drones Have Enormous Military Potential I don't care for swarms of insects or Hitchcock-inspired birds, let alone swarms of miniature drones.

Artificial intelligence (AI) is no longer going to remain the secret sauce of giant tech companies. Microsoft said that it was betting big on'democratising' artificial intelligence and making it'available to all' to help improve lives and transform businesses. Detecting deadly diseases, reducing accident risks, predicting consumer behaviour and helping farmers increase crop yields were some of the AI-based innovations that the world's largest software maker showcased along with its partners at an event here. Is it something that would be really harnessed by some of the biggest companies in the world? Who is AI for?," said Anant Maheshwari, president, Microsoft India, in his keynote address at the company's'AI for All' conference here. "And one of the core perspectives we have had as a company is to democratise AI and really bring it for everyone," he said. The Redmond, Washington-based firm said it was helping 650 India-based partners use the Microsoft cognitive services, Internet of Things (IoT), AI and machine learning platforms to build solutions for India. Over the last year, Microsoft and its partners have deployed AI solutions in areas such as healthcare, education, agriculture, retail, e-commerce, manufacturing and financial services. For instance, homegrown online retail giant Flipkart is leveraging AI and analytics capabilities in Microsoft's cloud computing platform Azure. It is able to deliver increasingly relevant and personalized experiences to its customers. "We have to be proactive and these millions of users coming to our platform is giving us information to predict.