Not long ago, almost every blockbuster film release was accompanied by a tie-in video game. Just look back to the noughties superhero films; from Batman Begins to Iron Man 2, each one had a playable port, and most of them were awful. Nowadays, it's done less and less, with few straight film-to-game adaptations being made, yet more game-to-films (such as Warcraft) hitting cinemas. Thankfully, Insomniac has gone the completely bonkers route and made a game based on a film based on a game. Ratchet and Clank is thus a reimagining of the original tale, giving us a new-but-so-not-new story of how a Lombax and a defected robot became friends and saved the universe from Chairman Drek.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

In just our fourth session together, Steve was already beginning to sound discouraged. It was Thursday of the first week of an experiment that I had expected to last for two or three months, but from what Steve was telling me, it might not make much sense to go on. "There appears to be a limit for me somewhere around eight or nine digits," he told me, his words captured by the tape recorder that ran throughout each of our sessions. "With nine digits especially, it's very difficult to get regardless of what pattern I use--you know, my own kind of strategies. It really doesn't matter what I use--it seems very difficult to get." Steve, an undergraduate at Carnegie Mellon University, where I was teaching at the time, had been hired to come in several times a week and work on a simple task: memorizing strings of numbers. I would read him a series of digits at a rate of about one per second--"Seven ... four ... zero ... one ... one ... nine ..." and so on--and Steve would try to remember them all and repeat them back to me once I was done. One goal was simply to see how much Steve could improve with practice. Now, after four of the hour-long sessions, he could reliably recall seven-digit strings--the length of a local phone number--and he usually got the eight-digit strings right, but nine digits was hit or miss, and he had never managed to remember a 10-digit string at all. And at this point, given his frustrating experience over the first few sessions, he was pretty sure that he wasn't going to get any better. What Steve didn't know--but I did--was that pretty much all of psychological science at the time indicated that he was right. Decades of research had shown that there is a strict limit to the number of items that a person can retain in short-term memory, which is the type of memory the brain uses to hold on to small amounts of information for a brief period of time. If a friend gives you his address, it is your short-term memory that holds on to it just long enough to write it down.

Have you heard the one about the biologist, the physicist, and the mathematician? They're all sitting in a cafe watching people come and go from a house across the street. Two people enter, and then some time later, three emerge. The physicist says, "The measurement wasn't accurate." The biologist says, "They have reproduced."

The following interview is one of many included in the report. As part of my ongoing series of interviews surveying the frontiers of machine intelligence, I recently interviewed Yoshua Bengio. Bengio is a professor with the department of computer science and operations research at the University of Montreal, where he is head of the Machine Learning Laboratory (MILA) and serves as the Canada Research Chair in statistical learning algorithms. The goal of his research is to understand the principles of learning that yield intelligence. Yoshua Bengio: I have been researching neural networks since the '80s.

Isn't it cool if we could predict cyber attacks before it happens? Predicting cyber attacks before it happens can help to prevent it. A Scientist team at Massachusetts Institute of Technology have developed an Artificial Intelligence system that can detect and stop almost 85% of cyber attacks with a little human help. This Advanced intelligent system is known as AI2. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the machine-learning startup ParrernEx have demonstrated an artificial intelligence platform knows AI2.

Retired Army Col. Lawrence Wilkerson says the decentralization and advancements of 3-D printing, artificial intelligence, and nanotechnology are the future of warfare, and may enable the rise of modernized private robotic armies. Wilkerson's statements were made during an exclusive interview with Rick Wiles of TRUNEWS on Thursday, while discussing the possibility that billionaires like George Soros could bring rise to a modern version of the East India Company. "As were developing these new technologies particularly 3-D printing, nanotechnology, nano engineering, artificial intelligence and robotics, as were developing these now, we are reducing enormously the costs for some of the most sophisticated weapons to be in the world," Wilkerson said. These advancements, Wilkerson noted, are already being placed into conceptual practice. "With 3-D printing we have recently produced, in less than 16 hours, a drone that underwater went to the coast of France and back to the Eastern coast of the United States, underwater.

As the world celebrated Earth Day on Friday, a team led by an Indian-origin researcher has found a way to use artificial intelligence (AI) to protect the Earth's endangered animals and forests by outwitting poachers with technology. With support from the US National Science Foundation (NSF) and the US Army Research Office, researchers are using AI and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the US, Singapore, the Netherlands and Malaysia. "This research is a step in demonstrating that AI can have a really significant positive impact on society and allow us to assist humanity in solving some of the major challenges we face," said Milind Tambe, professor of computer science and industrial and systems engineering at the University of Southern California (USC). "In most parks, ranger patrols are poorly planned, reactive rather than pro-active and habitual," said Fei Fang, PhD candidate from the University of Southern California (USC). Fang is part of an NSF-funded team at USC led by Tambe who is also director of the Teamcore Research Group on Agents and Multiagent Systems.

Researchers are now using AI, game theory and big data to protect wildlife and forests around the world, as technology finally catches up with poachers. The fight against poaching has proven very difficult in the past century, that's despite the advances in technology that have littered conservationism in that time. However, that could all be about to change thanks to a bit of clever thinking, with game theory and big data combining to arm park rangers with the necessary tools to fight back. The problem for park rangers is often scale, far too much land is monitored, on foot, by far too few. This means poachers have a relatively free reign, knowing the odds of the park ranger being at the right place, at the right time, is slim.

If you've watched "Game of Thrones," you've probably come to realize that the show and real life have at least one hard truth in common: people die and you don't always know when to expect it. And, like many a pondering soul, you may also wonder when that judgment day will come. Now, students at the Technische Universität in Munich, Germany, have developed an application that may help you answer that question (at least as far as John Snow and company are involved). The students reportedly developed a computer algorithm in a programming course that mines the internet -- the place where people spend extensive time mulling over things like how tall Tyrion Lannister is, or whether he will die an untimely death while sipping on mulled wine -- and recycles that information in order to predict who will get the axe, or sword, next. "We tested 24 characteristics - for example, how many relatives of the character are already dead," Tatyana Goldberg, one of roughly 40 researchers who worked on the project, said.