A team of Waterloo researchers found that applying artificial intelligence to the right combination of data retrieved from wearable technology may detect whether your health is failing. The study, which involved researchers from Waterloo's Faculties of Applied Health Sciences and Engineering, found that the data from wearable sensors and artificial intelligence that assesses changes in aerobic responses could one day predict whether a person is experiencing the onset of a respiratory or cardiovascular disease. "The onset of a lot of chronic diseases, including type 2 diabetes and chronic obstructive pulmonary disease, has a direct impact on our aerobic fitness," said Thomas Beltrame, who led the research while at the University of Waterloo, and is now at the Institute of Computing in University of Campinas in Brazil. "In the near future, we believe it will be possible to continuously check your health, even before you realize that you need medical help." The study monitored active, healthy men in their twenties who wore a shirt for four days that incorporated sensors for heart rate, breathing and acceleration.

From the spears hurled by Romans to the missiles launched by fighter pilots, the weapons humans use to kill each other have always been subject to improvement. Militaries seek to make each one ever-more lethal and, in doing so, better protect the soldier who wields it. But in the next evolution of combat, the U.S. Army is heading down a path that may lead humans off the battlefield entirely. Over the next few years, the Pentagon is poised to spend almost $1 billion for a range of robots designed to complement combat troops. Beyond scouting and explosives disposal, these new machines will sniff out hazardous chemicals or other agents, perform complex reconnaissance and even carry a soldier's gear.

Brazilian startup Cobli has specialized in technological solutions for vehicle fleet monitoring and management. It is currently focusing on safety and refining a tool to identify driver behavioral patterns by analyzing data collected by a solar-powered tracker. The project is based on machine learning, an application of artificial intelligence, and had the support from the São Paulo Research Foundation--FAPESP through its Innovative Research in Small Business Program (PIPE). "The algorithm uses the data collected to establish a driving profile with more than 90% accuracy," says engineer Rodrigo Mourad, a partner and co-founder of Cobli. According to Mourad, in one or two weeks of use, the system can glean a sufficient amount of data--on speed, acceleration, braking and curve angles--to produce a profile of the driver's vehicle handling habits. Directly linked to the question of traffic safety, these data also have an economic and financial impact on the fleet owner's business since aggressive driving increases fuel consumption and the cost of vehicle maintenance.

Goldman Sachs is giving another go at predicting which team will win this year's World Cup. After incorrectly predicting how the 2014 tournament would turn out, it's trying again and its calculations say that France, Brazil, Portugal and Germany will make it to the semi-finals with Brazil beating out Germany in the final game. The financial firm used machine learning to come up with these predictions, feeding team characteristics, individual player data and recent team performance information into four machine learning models, which then compared that data to the scores of all of the World Cup and European Cup matches since 2005. Goldman Sachs then ran one million simulations of World Cup outcomes to determine who would come out on top. Of course, you can't account for all of the variables that influence how a tournament will play out -- something made quite clear in 2014.

Banks That Have Implemented Social Media Payments Through Facebook and Twitter, Let's Talk Payments

The first batch of flamethrowers sold by Elon Musk's tunnel construction business The Boring Company have been handed out to customers - with some people traveling thousands of miles to pick one up. The Tesla entrepreneur had suggested the idea of selling a flamethrower at the end of 2017, with the project aiming to raise $10m for The Boring Company, which was founded with the intention of building a network of tunnels to help reduce traffic congestion across the US. Mr Musk claimed that the company had sold 20,000 of the $500 in four days in during January this year, with the first flamethrowers handed out at Boring's Hawthorne, California offices over the weekend. The event took place in a car park adjacent to another of Mr Musk's companies - SpaceX - with the tech billionaire announcing on Twitter that the first 1,000 flamethrowers were bring picked up. Mr Musk has called the item "Not-a-flamethrower" to get around any legal issues of shipping items called flamethrowers, but some customers could not wait to get it into their hands.

Monday, the 29th, marked the beginning of the EU Green Week, an event organized by the European Commission's Directorate-General for Environment to discuss environmental policies. This year, the focus is "Green jobs for a greener future." The organizers stressed how traditional specializations will be characterized by additional sets of new skills. Being able to deal with technology is certainly one of them, and many jobs in the environmental sciences are already adopting these innovative tools. People working in this sector are no longer restricted to field work and laboratory analyses.

Global Artificial Intelligence in Retail Market is Expected to Grow From US$ 712.6 Million in 2016 to US$ 27,238.6 Inception of exponential technologies such as sensors, robotics, virtual reality, and artificial intelligence in the retail industry has enabled the retailers to enhance their interactions with consumers and transformed the way retail operations were performed. This change in the industry is prominently driven by the seismic shift in the shopping pattern of the consumers, and their preferences backed by demographic dividend across regions. The report focuses on an in-depth segmentation of this market based by retail format, technology, and application. The geographic segmentation of the report covers five major regions including; North Americas, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SA).

Mr. Smith Goes to Washington 1939 TCM Tue. 7 p.m. Mean Streets 1973 Cinemax Sun. 6 a.m. Batman Begins 2005 AMC Sun. Throw Momma From the Train 1987 EPIX Sun. Die Hard 1988 IFC Sun. I Know What You Did Last Summer 1997 Starz Tue. Gone in 60 Seconds 2000 CMT Wed. 8 p.m., Thur. Total Recall 1990 Encore Thur. 2 a.m. A Fish Called Wanda 1988 Encore Thur. 2 p.m., 9 p.m. The World Is Not Enough 1999 EPIX Sat. 4 p.m. Look Who's Talking 1989 OVA Sun. Die Hard With a Vengeance 1995 IFC Thur. Oil-platform workers, including an estranged couple, and a Navy SEAL make a startling deep-sea discovery. A clueless politician falls in love with a waitress whose erratic behavior is caused by a nail stuck in her head. After glimpsing his future, an ambitious politician battles the agents of Fate itself to be with the woman he loves. To help a friend, a suburban baby sitter drives into downtown Chicago with her two charges and a neighbor. Two teenage baby sitters and a group of children spend a wild night ...

England fans know the drill all too well - the national team heads into a major international football tournament having qualified with a near-perfect record. Hopes are high, but then… well, you know what happens - lacklustre performances or penalty shoot-out heartbreak, followed by an early flight home. So what really determines the success or failure of a team going into a major international football tournament like the World Cup? Is it a side's quality (class) or its recent performances (form)? Reality Check has teamed up with the BBC's statistics department to try to answer one of the biggest debates in football - how much does form matter? To do this, we built a computer program that predicts football results by analysing ratings data.