Mountari said the team of 12 U.S. Special Forces soldiers and 30 Nigerian troops had been "right up to the Mali border and had neutralized some bandits" just before the ambush took place. He declined to give further details. The U.S. military has been adamant that the Oct. 3-4 mission was not intended to involve contact with enemy forces. Mountari said: "They (U.S.-Nigerien contingent) came back to Niger, they greeted the population, they gathered intelligence and it was inside the country, when they didn't expect anything, that the attack happened."

Parallel best-first search algorithms such as Hash Distributed A* (HDA*) distribute work among the processes using a global hash function. We analyze the search and communication overheads of state-of-the-art hash-based parallel best-first search algorithms, and show that although Zobrist hashing, the standard hash function used by HDA*, achieves good load balance for many domains, it incurs significant communication overhead since almost all generated nodes are transferred to a different processor than their parents. We propose Abstract Zobrist hashing, a new work distribution method for parallel search which, instead of computing a hash value based on the raw features of a state, uses a feature projection function to generate a set of abstract features which results in a higher locality, resulting in reduced communications overhead. We show that Abstract Zobrist hashing outperforms previous methods on search domains using hand-coded, domain specific feature projection functions. We then propose GRAZHDA*, a graph-partitioning based approach to automatically generating feature projection functions. GRAZHDA* seeks to approximate the partitioning of the actual search space graph by partitioning the domain transition graph, an abstraction of the state space graph. We show that GRAZHDA* outperforms previous methods on domain-independent planning.

Generative Adversarial Network (GAN) and its variants demonstrate state-of-the-art performance in the class of generative models. To capture higher dimensional distributions, the common learning procedure requires high computational complexity and large number of parameters. In this paper, we present a new generative adversarial framework by representing each layer as a tensor structure connected by multilinear operations, aiming to reduce the number of model parameters by a large factor while preserving the quality of generalized performance. To learn the model, we develop an efficient algorithm by alternating optimization of the mode connections. Experimental results demonstrate that our model can achieve high compression rate for model parameters up to 40 times as compared to the existing GAN.

Cointelegraph talks with AI visionary Ben Goertzel, who shares with us his vision of the future of AI and computing, while also offering insights on how to guide an "artificial general intelligence" toward good, rather than evil. The author and researcher in the field of artificial intelligence, Goertzel is chairman of the Artificial General Intelligence Society and the OpenCog Foundation, Vice Chairman of futurist nonprofit Humanity, founder and CEO of SingularityNet, and chief scientist at Hanson Robotics. He has been working for years, along with a team of dozens researchers scattered around the globe, to create the world's first AI marketplace powered by Blockchain technologies. BG: I began my career as a mathematics Ph.D. in the 1980s. I was an academic for awhile, then I entered industry in the late 90's and I've been doing artificial intelligence applications in sort of every industry you can imagine from genetics, bioinformatics, and natural language processing.

Join IBM November 1 at 21st Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA, and learn how IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. In this session we will build a chatbot powered by IBM Watson, connect it to third-party APIs, and share best practices of chatbots co-existing with humans. Cognitive analysis impacts today's systems with unparalleled ability that were previously available only to manned, back-end operations. Thanks to cloud processing, IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Imagine a robot vacuum that becomes your personal assistant that knows everything and can respond to your emotions and verbal commands!

WASHINGTON/TAIPEI – New security measures including stricter passenger screening take effect on Thursday on all U.S.-bound flights to comply with government requirements designed to avoid an in-cabin ban on laptops, airlines said. Airlines contacted by Reuters said the new measures could include short security interviews with passengers at check-in or the boarding gate, sparking concerns over flight delays and extended processing time. They will affect 325,000 airline passengers on about 2,000 commercial flights arriving daily in the United States, on 180 airlines from 280 airports in 105 countries. The United States announced the new rules in June to end its restrictions on carry-on electronic devices on planes coming from 10 airports in eight countries in the Middle East and North Africa in response to unspecified security threats. Those restrictions were lifted in July, but the Trump administration said it could reimpose measures on a case by case basis if airlines and airports did not boost security.

Is there a global theory for the shapes of fish? But for most of the history of biology, it's not the kind of thing anyone would ever have asked. Stephen Wolfram is the creator of Mathematica, Wolfram Alpha and the Wolfram Language; the author of A New Kind of Science; and the founder and CEO of Wolfram Research. Sign up to get Backchannel's weekly newsletter, and follow us on Facebook, Twitter, and Instagram. And it's now 100 years since D'Arcy Thompson published the first edition of his magnum opus On Growth and Form--and tried to use ideas from mathematics and physics to discuss global questions of biological growth and form. Stretch one kind of fish, and it looks like another. Yes, without constraints on how you stretch. It's not quite clear what this is telling one, and I don't think it's much. But just to ask the question is interesting, and On Growth and Form is full of interesting questions--together with all manner of curious and interesting answers. D'Arcy Thompson was in many ways a quintessential British Victorian academic, steeped in the classics, and writing books with titles like A Glossary of Greek Fishes (i.e. But he was also a diligent natural scientist, and he became a serious enthusiast of mathematics and physics. And where Aristotle (whom Thompson had translated) used plain language, with perhaps a dash of logic, to try to describe the natural world, Thompson tried to use the language of mathematics and physics.

Last month, I published an article on Nautilus called "Is Tribalism a Natural Malfunction?". It was a meditation on a series of computer experiments in the study of Prisoner's Dilemma, and a reflection on what these simulations, and more complex arguments from mathematical logic, might tell us about social life. The groups that formed in our simulation, shibboleth machines, were unable to tolerate others--and eventually became unable to tolerate the differences that emerged amongst themselves. There were some lovely comments on Nautilus and elsewhere, of course, and the usual rough-and-tumble of Internet argument. What I didn't expect was the robust defense of tribalism made by educated and apparently intelligent people writing on ostensibly science- and technology-focused sites.

In today's game industry, titles like "Clash Royale" and "Pokemon Go" are free for most people to enjoy because there's a small number of players who pay for extras, like special weapons or more lives. Game developers have to strike a delicate balance in this free-to-play model between drawing the masses and encouraging big spenders -- and they need both for a successful title. Silicon Studio Corp. is trying to help by providing game makers with deep-learning algorithms to create what amounts to a psychological profile of each player. The Tokyo-based company's software predicts how long people will play, what levels they might achieve, how much money they might spend and on what. Even more important, the technology lets game creators mold player behavior to keep them hooked.

Ranked the world's third-largest non-game app developer, Cheetah Mobile faces significant challenges in meeting the different needs of a diverse advertiser clientele. In Asia-Pacific, specifically, advertisers have yet to catch up – in terms of media investments – with consumers who are rapidly moving towards mobile devices, according to Josh Ong (pictured below), Cheetah Mobile's director of global marketing and communications. In this Q&A with ExchangeWire, Ong explains how the Chinese app developer is enhancing its programmatic and technology stack to better cater to advertisers' needs, as well as glean deeper insights on its monthly user base of more than 600 million. Khin Mu Yar Soe, PubMatic's customer success manager, also chimes in to discuss how the publisher ad platform works to support Cheetah Mobile, compared to publishers in other regions. If we get that right, then we have a solid base on which to build our business.