Book covers are usually designed to reflect what the book is all about -- which isn't exactly in line with the famous saying about judging a book by its cover. Now, a pair of researchers from Kyushu University in Japan wanted to find out just how well artificial intelligence (AI) can engage in the proverbial book judging. It turns out, neural networks perform fairly well. The task was simple: can a deep neural network, which has four layers of up to 512 neurons each, correctly identify what genre a book belongs to just by analyzing its cover? They trained their neural network using 80 percent of this data to recognize a book's genre by looking at the cover image.

With a large amount of information all over the web, it can be quite difficult to keep up, especially for enterprises that depend on data analytics for better decision making. While some companies might be able to work with some software tools, others that deal with "Big Data" always struggle with managing and filtering non-essential information. This growing concern has affected all departments of organizations from supply chain to human resource management, and also led to the emergence of unique concepts such as Enterpriseof1. Enterpriseof1 is the future of work. Data analytics, Machine Learning and Algorithms are the enablers. This convergence is touted to transform the way in which we work and pave the way for enhanced user experience and foster democratization.

Death by selfie sounds like a scene from one of the Final Destination movies but, apparently, it's actually a thing. In 2014, 15 people died while snapping a selfie, followed by 39 people in 2015, and 73 in the first eight months of 2016. So what, if anything, can be done about this escalating trend? That's what a new research project carried out by researchers in India wants to find out. "There was a news article that was circulated in my research group about a death by selfie during summer 2016," Ponnurangam Kumaraguru, an assistant professor at Indraprastha Institute of Information Technology in Delhi, told Digital Trends.

Some of the world's leading technology professionals have gathered for the third World Internet Conference, being held in Wuzhen, Zhejiang province, and top of everyone's agenda is the booming growth of artificial intelligence (AI), as it continues to penetrate every aspect of business and daily life. From customer services to wealth management, to reshaping the jobs market by replacing low-skilled workers, the sector is growing at an unprecedented pace, said analysts gathered for the event. Big names speaking during the three-day forum include Facebook's vice president Vaughan Smith and smartphone maker Huawei's chief executive Richard Yu. Senior officials from Baidu, Tencent, and Alibaba, which owns the South China Morning Post, are also attending. Hyde Chen, an analyst with UBS' chief investment office, told the Post the biggest issue facing the image of the AI sector is balancing the numbers of those being put out of work by the technology, with the jobs being created in its development. "Jobs with three characteristics are at high risk of being replaced: low-skilled roles, those doing repetitive tasks, and jobs that are predictable. AI [applications] will be doing these jobs in a more effective way in future," Chen said.

I find myself being summoned from various directions, as if I've just stepped into a party with my closest friends. Many pins I see are interesting to me -- it's a pleasant feeling. A house with a window lined with dark brown wooden shutters. A shelf made from the back of an iMac. A media console on wheels with iron legs and wooden slats.

If you think that AI still belongs in the realm of science fiction, you obviously didn't get the memo. It is all around us all the time, 24/7. You just don't know it yet. It is impossible to invest purely in AI. All new AI startups comprise small teams of experts from labs and universities financed by big venture capital firms like Sequoia Capital, Kleiner Perkins, and Andreessen Horowitz.

We likely aren't going to get flying cars anytime soon, but we will have self-driving ones. They'll be packed to the gills with sensors to keep us safe and sound as we Snapchat ourselves cruising down the highway, bellowing along to our favorite Urfaust tracks. But those are a ways off, and the phone in your pocket already has a pretty solid set of sensors in it. Plus, using a device you already own is far more economical than buying a new car. A $7 mount holds a phone, while the free app uses your gizmo's onboard accelerometer, cameras and microphone do the rest of the work.

Monte Carlo Tree Search (MCTS) is a technique to guide search in a large decision space by taking random samples and evaluating their outcome. In this work, we study MCTS methods in the context of the connection calculus and implement them on top of the leanCoP prover. This includes proposing useful proof-state evaluation heuristics that are learned from previous proofs, and proposing and automatically improving suitable MCTS strategies in this context. The system is trained and evaluated on a large suite of related problems coming from the Mizar proof assistant, showing that it is capable to find new and different proofs. To our knowledge, this is the first time MCTS has been applied to theorem proving.

The House of Lords has passed the Investigatory Powers Bill, putting the huge spying powers on their way to becoming law within weeks. The bill – which forces internet companies to keep records on their users for up to a year, and allows the Government to force companies to hack into or break things they've sold so they can be spied on – has been fought against by privacy campaigners and technology companies including Apple and Twitter. But the Government has worked to continue to pass the bill, despite objections from those companies that the legislation is not possible to enforce and would make customers unsafe. In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles 23/40 The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight. At this biennial event, the participating companies exhibit their latest service robotic technologies and components 24/40 The robot developed by Seed Solutions sings and dances to music during the Japan Robot Week 2016 at Tokyo Big Sight 25/40 Government and industry are working together on a robot-like autopilot system that could eliminate the need for a second human pilot in the cockpit 26/40 Aurora Flight Sciences' technicians work on an Aircrew Labor In-Cockpit Automantion System (ALIAS) device in the firm's Centaur aircraft at Manassas Airport in Manassas, Va.

The dream of creating intelligent computers has inspired the development of exotic chips based on the structure of the brain, which operates in mysterious ways. Some researchers are making such chips from components found in today's computers. Using components pulled off store shelves, researchers at the University of Tennessee, Knoxville, have made a chip for intelligent computers that can learn. The chips are structured to discover patterns through probabilities and association, helping with decision making. The researchers are using off-the-shelf, reprogrammable circuits called FPGAs (field programmable gate arrays) to simulate the way neurons and synapses in a brain operate.