LONDON – Warning: the Kremlin is trying to split the West by spreading "altered facts," conducting blackmail and setting up front organizations, the U.S. State Department said -- in 1981. So-called active measures were common during the Cold War, when the U.S. and the Soviet Union sought to unify and divide Europe with equal urgency. Now those tactics appear to be back, retooled for the digital age as President Vladimir Putin embraces the even older Russian foreign policy tradition of "derzhavnost," or "great powerness." Fears of Russian interference are rampant across the continent. Already reeling from Brexit, the European Union faces a string of key elections starting next month in the Netherlands, then in France and Germany.

AI is not a "platform," It's an enabling technology. Many "X-with-ML" startup business plans (where X is some category of software) …but not so simple. The Ironman Suit 4. Replacing Humans 4 Models (Not Equally Common Today) 7. Model #1: Tell Me Something New Improve customer experience Data: Collect surveys, reviews/social, transactions, call logs, etc. ML: NLP on customer interactions Insight Workflow: What (concretely) makes customers happy? Extract useful data from cheap, frequent satellite images ML: Computer vision to recognize, count, measure, track objects Find use cases: government, finance, oil & gas, etc. Improve construction efficiency Data: Collect timesheets, geo, cost codes, orders, notes, etc. ML: Computer vision to tag images, NLP on notes and orders Insight Worflow: What impacts our productivity? Problem--first: Data--first: 8. Model #1: Tell Me Something New Questions to Consider… Do you have advantaged access to the data?

In our book, AI for Game Developers, we cover many different AI techniques that are used in games. Many of the techniques we cover, such as chasing and evading, pathfinding, finite state machines, and rules-based systems, among others, have obvious applications in games. However, some of the other techniques we cover, such as neural networks, genetic algorithms, and Bayesian techniques, are not as familiar and thus their applications in games may not be as obvious. Nonetheless, these latter techniques offer compelling capabilities when applied in games and they are quickly gaining popularity, as evidenced by their appearances in game development literature, conferences, and indeed the games. Throughout our book we give you multiple code examples and additional ideas of how you can apply all of the techniques we cover in your own games.

This paper presents a knowledge-based approach to the task of learning and identifying galaxies from their images. To this effect, we propose a crowd-sourced pipeline approach that employs two systems - case based and rule based systems. First, the approach extracts morphological features i.e. features describing the structure of the galaxy such as its shape, central characteristics e.g., has a bar or bulge at its center)etc., using computer vision techniques. Then it employs a case based reasoning system and a rule based system to perform the classification task. Our initial results show that this pipeline is effective in learning reasonably accurate models on this complex task.

Knowledge Graph (KG) plays a crucial role in many modern applications. Nevertheless, constructing KG from unstructured text is a challenging problem due to its nature. Consequently, many approaches propose to transform unstructured text to structured text in order to create a KG. Such approaches cannot yet provide reasonable results for mapping an extracted predicate to its identical predicate in another KG. Predicate mapping is an essential procedure because it can reduce the heterogeneity problem and increase searchability over a KG. In this paper, we propose T2KG system, an end-to-end system with keeping such problem into consideration. In the system, a hybrid combination of a rule-based approach and a similarity-based approach is presented for mapping a predicate to its identical predicate in a KG. Based on preliminary experimental results, the hybrid approach improves the recall by 10.02% and the F-measure by 6.56% without reducing the precision in the predicate mapping task. Furthermore, although the KG creation is conducted in open domains, the system still achieves approximately 50% of F-measure for generating triples in the KG creation task.

Chatbots are here to stay. While a year ago, many in the tech industry saw this as yet another Silicon Valley fad that was more hype than substance, that debate has largely been put to rest now. Today bots are being deployed by major companies in almost every sector. But now, there is an intra-bot war brewing in the bot community. In October, we conducted a webinar on the fall of mobile apps and the rise of bots which had 145 attendees.

Russia is carrying out a sustained campaign of cyber attacks targeting democracy and critical infrastructure in the West, UK Defence Secretary Sir Michael Fallon has warned. Moscow was "weaponising misinformation" in a bid to expand its influence and destabilise Western governments and weaken Nato, he said. Vladimir Putin had chosen to become a "strategic competitor" of the West. Sir Michael said it was vital alliance members strengthened cyber defences. His speech, at the University of St Andrews, comes as Theresa May is to use an informal summit in Malta to press EU Nato members to boost defence spending.

Nato must begin to compete on the cyber-battlefield to counter Russian hacking aimed at undermining democracy in the US and western Europe, the British defence secretary, Sir Michael Fallon, has said. In his most hard-hitting comments yet about Russia, he accused it of targeting the US, France, Germany, Holland, Bulgaria and Montenegro, which is due to become a full Nato member this year. Fallon blamed Russia for helping create the age of fake information. "Today we see a country that, in weaponising misinformation, has created what we might now see as the post-truth age. Part of that is the use of cyber-weaponry to disrupt critical infrastructure and disable democratic machinery," he said.

At some online publications, financial summaries and sports recaps are written by artificial intelligence (AI), not humans. In the medical field, thanks to "computer-assisted diagnosis," a computer was able to spot 52% of breast cancers based on mammography scans up to one year before the women were officially diagnosed. In some organizations, AI decides which sales opportunities are worthy of a salesperson's time. Gartner client inquiry on topics closely related to AI tripled from 2015 to 2016. As organizations recognize the potential for AI to disrupt business, interest is growing rapidly.

Bayesian probability theory states that it's possible to predict with surprising accuracy the likelihood of something happening (or not happening) in a transparent and analytically defensible way. A Bayesian inference network, or model, captures every element of a problem and calculates possible outcomes mathematically. The harder the problem, the better it works--at least in theory. In reality, a typical approach is to gather a roomful of PhDs and spend a lot of time and money building a Bayesian network. Then, with even greater effort and more man-hours, the Bayesian network is turned into software by a roomful of coders.