It is no secret that much of the wisdom of the world lies in unstructured data, that is the kind that is not necessarily quantifiable and tidy. So it is in cybersecurity, and now IBM is putting Watson to work to make that knowledge more accessible. Towards that end, IBM Security has announced a new year-long research project through which it will collaborate with eight universities to help train its Watson artificial-intelligence system to tackle cybercrime. Knowledge about threats is often hidden in unstructured sources such as blogs, research reports and documentation, said Kevin Skapinetz, director of strategy for IBM Security. "Let's say tomorrow there's an article about a new type of malware, then a bunch of follow-up blogs," Skapinetz explained.

How did you become interested in artificial intelligence (AI)? I am a documentary filmmaker, writer and speaker. I was making a film around 15 years ago about AI and got to speak to some of the major players in the field, including Ray Kurzweil, the Director of Engineering at Google who started the singularity industry, and Rodney Brookes, the premier roboticist of our time who founded iRobot (a company that created the Roomba vaccum cleaner and robots for military use) and then established a company called Rethink Robotics. Both Kurzweil and Brookes were optimistic about the time when we will share the planet with smarter-than-human machines – and I was too. I was, and still am, a gigantic proponent of AI, despite my book's title Our Final Invention: Artificial Intelligence and the End of the Human Era.

"The Nervana team is developing a full-stack deep learning platform to enable organizations to use deep learning to tackle previously unsolvable problems. We believe our inclusion in the Cool Vendor report by Gartner validates our mission to make scalable artificial intelligence widely accessible and to enable disruptive new applications across a range of industries," said Naveen Rao, co-founder and CEO of Nervana. In February, Nervana launched Nervana Cloud, a full-stack hosted platform for deep learning. Based on neon, Nervana's open source deep learning framework, Nervana Cloud helps businesses develop and deploy high-accuracy deep learning solutions at a fraction of the cost of building their own infrastructure and data science teams. Utilizing the Nervana Engine, an application specific integrated circuit (ASIC) that is custom-designed and optimized for deep learning, Nervana Cloud has been optimized down to the silicon to handle the most complex machine learning training at scale.

That's where hallucinations, reflexes, Post Traumatic Stress, Phobias, and most importantly, dreams come from. You are right, the mind doesn't deal with much external data. Sense organs are all processed elsewhere, however, some sections of processing overlap, autonomic vs. reflex, etc. The conscious portion of human beings is very tiny compared with all the subconscious and unconscious/automatic processes going on.

Cheap consumer drones are really just little computers on wings. It makes sense, then, that all it takes to disable one is another cheap computer, a wi-fi connection, and some technical know-how. Brent Chapman, an Army Cyber Warfare officer, already made a tool that remotely shuts off Parrot drones. Now, at Make, he's made a full tutorial for people to make their own anti-drone kit. To follow Chapman's instructions, a person will need a Parrot AR Quadcopter 2.0, which runs about 200 new and can be found online and used for less.

First dates can be a nerve-wracking experience, filled with unease and uncertainty over whether or not the other person is interested. But new technology that could help clear up at least some of the mystery surrounding such dates might be on its way. An'emotion detector' has been created which researchers claim will be able to tell whether or not a person finds you attractive almost instantly. An'emotion detector' concept has been designed that can tell if a person finds you attractive on the first date by measuring skin and heart rate responses and a pupil-dilation measure. Researchers at the University of Lancaster were inspired to make the device by a gadget featured in the 1982 sci-fi fantasy film'Blade Runner'.

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

Machines have already started their march towards artificial intelligence. Deep Learning and Neural Networks are probably the hottest topics in machine learning research today. Companies like Google, Facebook and Baidu are heavily investing into this field of research. Researchers believe that machine learning will highly influence human life in near future. Human tasks will be automated using robots with negligible margin of error. I'm sure many of us would never have imagined such gigantic power of machine learning.

This five-fingered robot hand can learn how to perform dexterous manipulation -- like spinning a tube full of coffee beans -- on its own, rather than having humans program its actions.University of Washington Robots today can perform space missions, solve a Rubik's cube, sort hospital medication and even make pancakes. But most can't manage the simple act of grasping a pencil and spinning it around to get a solid grip. Intricate tasks that require dexterous in-hand manipulation -- rolling, pivoting, bending, sensing friction and other things humans do effortlessly with our hands -- have proved notoriously difficult for robots. Now, a University of Washington team of computer scientists and engineers has built a robot hand that can not only perform dexterous manipulation but also learn from its own experience without needing humans to direct it. Their latest results are detailed in a paper to be presented May 17 at the IEEE International Conference on Robotics and Automation.

Neural networks provide the possibility to solve complicated non linear problems. They can be used in various areas such as signal classification, forecasting timeseries and pattern recognition. A neural network is a model inspired by the human brain and consists of multiple connected neurons. For getting a deeper understanding, I recommend checking out Neural Networks and Deep Learning. Within the last years, multiple Javascript frameworks were developed that can help you to create, train and use Neural Networks for different purposes.