The Financial Times is reporting that Adidas is going to bring back production to its native Germany for the first time in 30 years. It's spent the last six months testing a robotic factory with automated production lines creating soles and uppers separately before stitching them together. Spurred on by the results, the company is working on a large facility near Ansbach which will begin making sneakers for sale at some point next year. Another facility will be built in the US, although both are expected to produce just a tiny fraction of the 301 million pairs the firm made last year. The paper explains that a robot production line takes about five hours to create each pair of sneakers from scratch. By comparison, it apparently takes "several weeks" to do the same job in an Asian factory with human workers.

Stephen Hawking has warned that artificially intelligent machines could kill us because they are too clever. Such computers could become so competent that they kill us by accident, Hawking has warned in his first Ask Me Anything session on Reddit. A questioner noted that Professor Hawking's ideas about artificial intelligence are seen as "a belief in Terminator-style'Evil AI'", and asked how he would present his own beliefs. "The real risk with AI isn't malice but competence," Professor Hawking said. "A super intelligent AI will be extremely good at accomplishing its goals, and if those goals aren't aligned with ours, we're in trouble. "You're probably not an evil ant-hater who steps on ants out of malice, but if you're in charge of a hydroelectric green energy project and there's an anthill in the region to be flooded, too bad for the ants.

Researchers at the University of Massachusetts Amherst and Mount Holyoke College are teaming up to apply recent advances in machine learning, specifically biologically inspired deep learning methods, to analyze large amounts of scientific data from Mars. They are funded by a new four-year, 1.2 million National Science Foundation grant to computer scientist Sridhar Mahadevan, lead principal investigator at UMass Amherst's College of Information and Computer Sciences. His co-investigators are Mario Parente, an expert in analysis of hyperspectral images at UMass Amherst, and Darby Dyar of Mount Holyoke, a specialist in planetary chemistry and geology who serves on the scientific mission team for the Mars rover. As Mahadevan explains, NASA's Curiosity rover, a car-sized robot, has been exploring a crater on Mars since August 2012 and sending back a steady stream of specialized camera images and data on the chemical composition of rocks and dust for analysis. The data range from one-dimensional spectra of rock samples to three-dimensional hyperspectral images of the Martian surface.

Someday soon, your physician may be second-guessed by an artificial intelligence program – and you'll probably be healthier for it, according to Microsoft Research's Eric Horvitz. Horvitz, a research fellow and managing director of Microsoft Research's lab in Redmond, Wash., laid out the statistics to support second-opinion software during today's White House workshop on how AI can bring social benefits. The workshop in Washington, D.C., was the second in a series of four sessions aimed at helping the Office of Science and Technology Policy formulate future initiatives on artificial intelligence. Microsoft Research is pursuing projects in more than 60 areas of computer science, including AI, but Horvitz focused on two projects in particular that brought AI tools to bear on health care challenges. One project targets medical errors, which Horvitz said are thought to cause more than 400,000 deaths annually in the United States.

We may still be years away from seeing a fully autonomous car for sale to the general public, but many drivers already have a huge amount of technology in their cars, taking control of the vehicle at various points -- which is why an insurance company in the U.K. has launched what it believes to be the first driverless car policy in the world. The policy has been launched by Adrian Flux and will cover drivers who are already using autonomous features in their cars, such as self-parking and Tesla's Autopilot, which takes control of the car when driving on a highway. "We understand this driverless policy to be the first of its kind in the U.K. – and possibly the world," Gerry Bucke, general manager of Adrian Flux, told the Guardian. "More than half of new cars sold last year featured autonomous safety technology, such as self-parking or ABS [anti-lock braking systems], which effectively either take control or take decisions on behalf of the driver. And it's only going to continue. Driverless technology will become increasingly common in our cars over the next few years."

WE'VE long had eyes in the sky. But now a handful of start-ups are using these satellites to monitor everything from flood damage to crop yield with greater frequency and detail than ever before. Efforts to keep tabs on Earth from above began with NASA's Landsat programme, which started in 1973. It currently has two satellites in orbit imaging the whole of Earth's surface every 16 days. The resolution is high enough to capture major roads, but not individual houses.

The world's first passenger drone capable of autonomously carrying a person in the air for 23 minutes has been given clearance for testing in Nevada. Chinese firm Ehang, which unveiled the electric Ehang 184 passenger drone at CES in Las Vegas in January, has partnered with the Nevada Institute for Autonomous Systems (NIAS) and the Governor's Office of Economic Development (Goed) to put the drone through testing and regulatory approval. Tom Wilczek, Goed's aerospace and defence specialist said: "The State of Nevada, through NIAS, will help guide Ehang through the Federal Aviation Authority (FAA) regulatory process with the ultimate goal of achieving safe flight." The founder and chief executive of Ehang, Huazhi Hu, said the move would lay the foundation for the 184's commercialisation and kickstart the autonomous aerial transportation industry. Ehang hopes to begin testing later this year and will have to prove airworthiness to the FAA, with guidance from NIAS, before being able to operate in a wider capacity.

The helicopters were paired with RQ-7 Shadow drones. Predators and Reapers defined the last decade of drones at war. The future of drone war is likely different than its present. Large drones, flying for full days at at time, scouring the countryside for insurgents, is labor-intensive and requires safe skies to operate. In Iraq, the Army just tested a different approach to drones at war, using the Reaper's smaller cousin, the RQ-7 Shadow, paired with AH-64 Apache helicopters.

This CH-4 drone is carrying two satellite guided bombs on its inner pylons, and two Blue Arrow 7/9 anti-tank missiles on the outer pylons. The CH-4's electro-optical sensor turret is retracted in flight, under the fuselage, to reduce drag. Chinese drones such as the CH-3 and CH-4 have become a key part of the proliferation of the technology, joining China's air force as well as being sold to a wide range of foreign partners, from Myanmar to Saudi Arabia. They have even recently used in battlefields that range from Nigeria to Iraq. However some have argued that the significance of these systems is overblown, as unlike their satellite link equipped American counterparts, Chinese made armed drones could not truly conduct what is known as a "remote split operation."

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with "an ancient wish to forge the gods."[1] The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain. The Turing test was proposed by British mathematician Alan Turing in his 1950 paper Computing Machinery and Intelligence, which opens with the words: "I propose to consider the question, 'Can machines think?'" The term'Artificial Intelligence' was created at a conference held at Dartmouth College in 1956.[2] Allen Newell, J. C. Shaw, and Herbert A. Simon pioneered the newly created artificial intelligence field with the Logic Theory Machine (1956), and the General Problem Solver in 1957.[3] In 1958, John McCarthy and Marvin Minsky started the MIT Artificial Intelligence lab with 50,000.[4] John McCarthy also created LISP in the summer of 1958, a programming language still important in artificial intelligence research.[5] In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. McCorduck (2004) writes "artificial intelligence in one form or another is an idea that has pervaded Western intellectual history, a dream in urgent need of being realized," expressed in humanity's myths, legends, stories, speculation and clockwork automatons.[6] Mechanical men and artificial beings appear in Greek myths, such as the golden robots of Hephaestus and Pygmalion's Galatea.[7] In the Middle Ages, there were rumors of secret mystical or alchemical means of placing mind into matter, such as J?bir ibn Hayy?n's Takwin, Paracelsus' homunculus and Rabbi Judah Loew's Golem.[8] By the 19th century, ideas about artificial men and thinking machines were developed in fiction, as in Mary Shelley's Frankenstein or Karel?apek's