In all likelihood androids won't just one day spontaneously realize that we suck and rise up against us in a civil rights slave revolt. Instead, robots and animals will gradually follow the paths more naturally suited to them by moving along different, most likely conflicting, trajectories into the future. It's scary, we actually have no idea what's going on in the mind of a machine learning algorithm. We set them in motion and what they really do as a result is a black box mystery to us. Not only do our computers pick up on our racist and sexist biases, they see how much porn we look at and how many cat videos we post and they think that those things represent the human condition.

Just two weeks after the launch of the Galaxy Note 7 phone, Samsung was forced to recall 2.5 million devices worldwide, after reports that many were overheating, or even exploding Do YOU count on your fingers? Experts say it could actually... The 760mph train that'll take you from London to Manchester... Could a folding phone save Samsung? Firm patents radical... Artificial intelligence will'inevitably' destroy millions... Do YOU count on your fingers? Experts say it could actually...

The AI that learns by PLAYING: Google DeepMind is making machines'feel' their way around virtual objects Researchers created virtual environment for training artificial intelligence AI learned through a series of experiments where it'played' with objects By manipulating virtual building blocks in a simulation it could work out hidden properties, learning like a child AI learned through a series of experiments where it'played' with objects Google's DeepMind is teaching machines to learn through play, by exploring objects through simulations to work out their properties The ultimate guide to the biggest supermoon in living... Hundreds more species than we thought may be endangered... Alien hunters say they have... Move over James Bond: World's first commercially available... The ultimate guide to the biggest supermoon in living... Hundreds more species than we thought may be endangered... Alien hunters say they have... Move over James Bond: World's first commercially available... If a child were presented with two blocks painted black, one made of wood and one made of lead, they could work out their basic properties through playing with them. So why can't machines learn the same way? Earlier this week, researchers in Italy launched a new project to develop robots which learn by themselves, using a form of open open-ended machine learning.

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For the first time, artificial intelligence has been used to predict the outcomes of cases heard at a major European court. Researchers from the University of Sheffield, the University of Pennsylvania and University College London programmed the machine to analyse text from cases heard at the European Court of Human Rights (ECtHR) and predict the outcome of the judicial decision. During tests, the AI used a machine learning algorithm to make predictions with 79 per cent accuracy. "We don't see AI replacing judges or lawyers, but we think they'd find it useful for rapidly identifying patterns in cases that lead to certain outcomes," explained Dr Nikolaos Aletras, who led the study at UCL Computer Science. "It could also be a valuable tool for highlighting which cases are most likely to be violations of the European Convention on Human Rights." In developing the method, the team found judgements by the ECtHR correlate highly to non-legal facts rather than directly legal arguments, suggesting judges of the Court are, in the jargon of legal theory, 'realists' rather than'formalists'.

Regulations to protect people from falling drones moved a little closer to takeoff at the European Parliament on Thursday. Ensuring drone safety took on a new urgency this week, with GoPro's recall of its Karma drone after unexplained mid-air power failures caused a number of them to drop out of the sky. Under the European Union's proposed regulations, drones will have to be registered so that their owners can be identified. While that won't in itself stop drones from falling, it could lead pilots to take their responsibilities more seriously, legislators hope. A 1-kilogram drone like the Karma falling from as little as 11 meters (around three stories) could kill even someone wearing a safety helmet, according to a calculator developed by the Dropped Object Prevention Scheme, which promotes safety in the oil and gas industry.

The shape of multicoloured three-dimensional puzzle Rubik's Cube is not a trademark, the European Court of Justice has ruled. It means the shape of the cube alone is not enough to protect it from being copied. UK company Seven Towns, which manages Rubik's Cube's intellectual property rights, registered its shape as a trademark in in the 1990s. But German firm Simba Toys challenged the trademark protection in 2006. The European Court of Justice (ECJ) agreed that the cube's ability to rotate should be protected by a patent and not a trademark.

Artificial intelligence is already everywhere. Robots are performing surgeries, courts use AI to help determine sentencing and bots trade on the stock market all day. Last week, 150 academics and industry experts published the U.S. Roadmap for Robotics -- just ahead of the presidential election -- to help guide Congress as it moves to figure out how to allocate federal funds to encourage innovation, keep humans safe and, importantly, make sure America remains a global leader. The first Roadmap for Robotics report, published in 2009, inspired the Obama administration to launch the National Robotics Initiative in 2011, a program that allocated $70 million to advancing robotics research in the United States. The 2016 report is a 100-page tome packed with specific, technical recommendations that the contributors believe will be important for Congress to fund and support as robotics starts to take center stage across U.S. industries.

It's the familiar multicoloured "cube" brain-teaser which has challenged puzzle solvers for more than 40 years and is still the world's bestselling toy of all time. But on Thursday – following a 10-year legal tussle – Rubik's Cube lost a key trademark battle after the European court of justice (ECJ) said its shape was not sufficient to grant it protection from "copycat" versions. The eponymous puzzle, invented in 1974 by Hungarian sculptor and architect Erno Rubik, is popular among young and old, with more than 350m cubes sold to date worldwide. UK company Seven Towers, which oversees Rubik's Cube intellectual property rights, registered the shape as a three-dimensional EU trademark with the European Union Intellectual Property Office (EUIPO) in April 1999. But the court ruled that the EU trademark representing the shape of the Rubik's Cube is invalid, triggering fears it will lead to a surge of cheap, mass-produced versions and a weakening of European intellectual property protection.

Much as Linux, Windows, and iOS coordinate the execution of computing applications, laws coordinate the execution of human society. When new kinds of interactions emerge – sharing our airspace with private drones, for example, or algorithmic trading on financial markets – new laws are encoded to regulate those activities. Laws respond to conflicts of interest, keep criminals and cheats in check, and temper the abuse of power. "Space law, tax law, online law, regulations for autonomous vehicles and artificial intelligence... if you think about laws and how they evolve to match the complexity of the functions they coordinate, laws become an interesting problem for complex systems science," says SFI President David Krakauer. During SFI's 2016 Applied Complexity Network (ACtioN) and Board of Trustees Symposium April 3-5, themed "Law OS," Krakauer announced the beginning of a new research program at SFI on "Complexity and the Law."