This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and individuals are used in practice. We also investigate how hierarchies of concepts are structured, and how much they are linked. In addition to discussing the results, this paper contributes (i) a conceptual framework, including a set of metrics, which generalises over the observable constructs; (ii) an open source implementation that facilitates its application to other Linked Data knowledge graphs.

Service supply chain management is to prepare spare parts for failed products under warranty. Their goal is to reach agreed service level at the minimum cost. We convert this business problem into a preference based multi-objective optimization problem, where two quality criteria must be simultaneously optimized. One criterion is accuracy of demand forecast and the other is service level. Here we propose a general framework supporting solving preference-based multi-objective optimization problems (MOPs) by multi-gradient descent algorithm (MGDA), which is well suited for training deep neural network. The proposed framework treats agreed service level as a constrained criterion that must be met and generate a Pareto-optimal solution with highest forecasting accuracy. The neural networks used here are two Encoder-Decoder LSTM modes: one is used for pre-training phase to learn distributed representation of former generations' service parts consumption data, and the other is used for supervised learning phase to generate forecast quantities of current generations' service parts. Evaluated under the service parts consumption data in Lenovo Group Ltd, the proposed method clearly outperform baseline methods.

It's great to spot a familiar face -- and now researchers have'cracked the code' that our brains use to tell one apart from another. Our memories of the faces of people we know focus on key facial features let us recognise them when we meet. Volunteers were asked to rank how closely randomly-created digital faces matched with their memory of the face of a colleague. This process was repeated over and over, revealing key identifying facial features of the colleague being remembered. Computer software analysed the data on these instances of key features to recreate the faces in question.

NASA's Osiris-REx spacecraft has made its closest approach yet to an asteroid 1.4 billion miles from Earth. The probe dipped down to just .4 According to NASA, this put it in position to break the record for'the closest distance a spacecraft has orbited a body in the solar system.' Stunning new images from after the maneuver now reveal a close look at the boulders and craters dotting the surface of the distant object. The close-up image shared this week by NASA was captured on the 13th, showing Bennu half sunlit and half in shadow from the spacecraft's view. At the time, Osiris-REx was .4

FightCamp offers an interactive library of workouts available via subscription. And the Bowflex Max Trainer cardio machine incorporates artificial intelligence to help you step your home workout game up - literally. Best Buy is taking a step toward the future of at-home workouts, offering connected gym equipment from various popular brands both in-store and online. The electronics retailer announced Tuesday it is selling indoor cycling bikes, compression recovery systems, fitness rollers and connected treadmills from wellness tech brands like Flywheel, NormaTec and Hyperice. The high-end fitness equipment, now available online, will be sold in more than 100 stores by the end of this year, and Best Buy will help customers select equipment and install it after purchase.

What do Russian trolls, Facebook, and US elections have to do with machine learning? Recommendation engines are at the heart of the central feedback loop of social networks and the user-generated content (UGC) they create. Users join the network and are recommended users and content with which to engage. Recommendation engines can be gamed because they amplify the effects of thought bubbles. The 2016 US presidential election showed how important it is to understand how recommendation engines work and the limitations and strengths they offer.

To describe the future of work, Richard Baldwin is developing a new lexicon. The professor of international economics at the Graduate Institute in Geneva warns that we are unprepared for the ways in which new technology is changing the nature of globalization. Baldwin's new book, The Globotics Upheaval: Globalization, Robotics, and the Future of Work, is a natural follow-up to his 2016 book, The Great Convergence. Three years ago, he explained how a third wave of globalization--a collapse in the cost of the movement of people thanks to technology--would be the most disruptive, because it hits workers in the service sector. Baldwin's new book, published earlier this year, breaks down what this disruption will entail.

Volvo and Nvidia have formed a partnership that will see the pair collaborate on AI technology for self-driving vehicles. Speaking to investors and media at Volvo's annual event for the capital-markets community, Volvo Group CEO Martin Lundstedt said: "Partnership is the new leadership. If we are to succeed in the future with speed, quality, and safety – and to gain benefits of autonomous driving – we need to partner up with the best guys. In this world of unknowns, you need a partnership built on trust." Volvo is the world's second-largest truckmaker after Daimler.

IRISH BUSINESSES ARE lagging behind when it comes to investment in artificial intelligence, according to a new report by one of the Big Four professional services firms. A survey by PwC highlights a lack of clarity among businesses on how to plan for an AI future and the challenges with accessing and re-training talent. Conducted with the Analytics Institute, PwC surveyed 100 executives and high-ranking employees at companies of mixed sizes, including firms with revenues of less than €10 million and those with revenues of more than €5 billion. This relatively small sample size covered various industries but more than 93% were outside of IT with the replies benchmarked against US data. PwC has put together six priorities that need to be addressed by industry and government in Ireland: clarity, strategy, data, skills, trust and convergence, or how AI integrates with other technologies.

RADIUS guest contributor Gary Grossman currently leads the Edelman AI Center of Excellence. As part of that, he led development of the 2019 Edelman Artificial Intelligence Survey that can be viewed here. Just how important is artificial intelligence (AI)? Microsoft's Chief Envisioning Officer, Dave Coplin, said recently that AI is "the most important technology that anybody on the planet is working on today." A PwC report estimates that global GDP will be 14 percent higher in 2030 as a result of AI--the equivalent of $15.7 trillion, which is more than the current output of China and India combined.