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. You produce this drone with 3-D printing almost overnight, you hang some smart weapons on it like submarine killing torpedoes or smart mines, you take it out there and you kill a 4 billion Ohio class submarine. This is the future and if you make these kinds of weapons available to almost anyone in the world, at a reasonable price, I mean you can make this drone for about 100,000, its going to kill a 4 billion submarine, thats quite a price exchange there."

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 have a box of beloved video games that you haven't played for years stashed beneath your bed, now could be the time to cash them in. Retro gaming titles from Ice Climber to Pokemon are fetching hundreds as nostalgia trumps common sense - and now there's a calculator that lets you guess how much your favourites could be worth. The rise in demand for old pixelated titles flies in the face of hi-tech advances in gaming, with PlayStation launching a VR headset for more realistic experiences soon. Click on the module below to guess the value of retro games. Mobile users who can't see the game can visit MrGamez's website Retro gaming titles from Ice Climber to Pokemon are fetching hundreds of pounds as nostalgia trumps common sense - and now there's a calculator that lets you guess how much your favourites could be worth. Favourite platform games, beat'em ups and fantasy installments have appreciated rapidly in recent years, with ice Climber, first sold in 1985 for Nintendo's NES, for a price of 29.99 ( 43) selling on one occasion for a whopping 1,818 ( 2,617) This was for a factory-sealed copy, but if you own one still in its box, it could fetch almost 90 ( 130).

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.

Successful machine learning researchers are identified in elementary school machine learning competitions. Only the most creative, innovative, and gifted students are selected. If you were never aware of the process, then it means that you failed in the secret initial qualifiers, and weren't even close to earning a place in the program. This process may sound harsh, but it would simply be cruel to try to train someone in the art of machine learning if they don't possess the raw talent.

I believe almost all readers of this blog already know well about Deep Learning and Convolutional Neural Network (CNN)... so here I just show you a brief overview. CNN is a variant of Deep Learning and it has been well known for its excellent performance of image recognition. In particular, after CNN won ILSVRC 2012, CNN has gotten more and more popular in image recognition. The most recent success of CNN would be AlphaGo, I believe. Indeed, we already have a lot of implementation of CNN as libraries / packages.

A monk at Longquan temple has built a robot monk, with the help of a technology company and artificial intelligence experts. Unveiled in October, Xian'er has been a hit not just at the temple but on social media as well.