In science news around the world, the European Commission proposes spending €13 billion on military R&D from 2021 to 2027, of which €4.1 billion would be for research--a 20-fold increase over an existing pilot fund. The British Business Bank, a public company owned by the U.K. government, unveils a £2.5 billion fund called British Patient Capital that will make long-term investments in technology companies. Google announces plans to open an artificial intelligence research center in Accra later this year, its first such laboratory in Africa. Israel says it will begin pumping desalinated water into the Sea of Galilee starting next year to alleviate the effects of a 5-year drought. The launch of the European Space Agency's Euclid mission to study dark energy will be delayed by 2 years to 2022 because of problems with its infrared sensors.

To death and taxes, Benjamin Franklin's binary list of life's certainties, add the expectation that this six-note sequence: Although we ponder ways to avoid or evade Franklin's list of unavoidable events, we generally accept this more benign certainty as immutable. The penultimate note of the tune generates such strong and specific anticipation that you are likely finding it difficult to continue reading without resolving the sequence. That anxious pause is key to composition and music's power. It creates a sense of prophetic certainty that allows musicians to play against expectations by thwarting the expected. The controlled manipulation of certainty and likelihood lurks behind those magical moments in which music has caused a shiver or a tear to fall. By infusing uncertainty or surprise into the mix, musicians literally play on our emotions.

If you're thinking of buying the Amazon Fire TV Cube because you're delighted by the idea of having an Amazon Echo and a Fire TV device mashed into one device, let me stop you right there. Alexa on a TV interface demands a level of conversation like no other streaming TV product I've used before. After a few nights of using the Cube, I began to hate the sound of my own voice. Maybe you'll still be delighted by the Cube at first if you buy one. Maybe if you have kids, they'll love shouting at the TV to get their cartoon fix. But there's a good chance you'll end up doing what I did: going back to the fuddy-duddy Fire TV remote, because that's the easiest way to scroll through multiple media options.

The map of Damascus in the first Assassin's Creed was 0.13km². Since then, the map in each successive game has been bigger than the one before. Based on that history, we can expect the map for the upcoming AC: Odyssey to be bigger than last year's brilliant AC: Origins. Dimitras Galatas put together a short video comparing maps from several of the Assassin's Creed games. The map of Greece for Odyssey is shown at 130km², a substantial increase over the tiny map of Damascus and more than 2.5 times as large as AC: Origin's 80km² map of Egypt.

A woman in Copenhagen hears a loud crash in the next room and rushes in to discover her father sprawled on the floor, unresponsive. She quickly calls Denmark's health-emergency hotline, where a person answers the phone--but a computer is eavesdropping. As the operator runs through a series of questions--the patient's age, physical condition, what he was doing when he fell--the computer quickly determines the man's heart has stopped and issues an alert. "Those human dispatchers have an amazingly hard job," says Andreas Cleve Lohmann, co-founder of Corti SA, a Danish artificial intelligence software house that created the program. "This software can help them save lives."

Cylance, an Irvine-based cybersecurity firm, continues to secure big bucks from investors, this time raising $120 million to fund global expansion, sales and development efforts. Blackstone Tactical Opportunities led the funding round with other investors, according to Cylance's announcement Tuesday, June 19. Cylance uses artificial intelligence to predict cyberattacks on computer networks. Since its debut in 2012, the company has secured millions from investors who believe in the company's algorithmic technology. In 2017, the company reported $100 million in revenue, a first for the startup.

Experts believe that technologies like Artificial Intelligence, Blockchain, Internet of things, Cloud Computing, Cloud Robotics, Automation, Biometrics and Quantum Mechanics would change how we tackle our daily chores and services. Let's take a closer look at these advanced technologies that could shape the Fintech Scenario of remote villager's life. Knowing the fact that the unbanked population could also be uneducated and could only converse in the local language, the agent banking has been flourishing. But how about an AI-based app that could help you provide answers to all your banking needs via voice? Simple queries like – What's my savings account balance or Transfer funds to my kid school account would not only help rural people use the banking services but would also make human involvement redundant.

The PARAFAC2 is a multimodal factor analysis model suitable for analyzing multi-way data when one of the modes has incomparable observation units, for example because of differences in signal sampling or batch sizes. A fully probabilistic treatment of the PARAFAC2 is desirable in order to improve robustness to noise and provide a well founded principle for determining the number of factors, but challenging because the factor loadings are constrained to be orthogonal. We develop two probabilistic formulations of the PARAFAC2 along with variational procedures for inference: In the one approach, the mean values of the factor loadings are orthogonal leading to closed form variational updates, and in the other, the factor loadings themselves are orthogonal using a matrix Von Mises-Fisher distribution. We contrast our probabilistic formulation to the conventional direct fitting algorithm based on maximum likelihood. On simulated data and real fluorescence spectroscopy and gas chromatography-mass spectrometry data, we compare our approach to the conventional PARAFAC2 model estimation and find that the probabilistic formulation is more robust to noise and model order misspecification. The probabilistic PARAFAC2 thus forms a promising framework for modeling multi-way data accounting for uncertainty.

Much of the literature on suboptimal, polynomial-time algorithms for multi-agent path finding focuses on undirected graphs, where motion is permitted in both directions along a graph edge. Despite this, traveling on directed graphs is relevant in navigation domains, such as path finding in games, and asymmetric communication networks.We consider multi-agent path finding on strongly biconnected directed graphs. We show that all instances with at least two unoccupied positions have a solution, except for a particular, degenerate subclass where the graph has a cyclic shape. We present diBOX, an algorithm for multi-agent path finding on strongly biconnected directed graphs. diBOX runs in polynomial time, computes suboptimal solutions and is complete for instances on strongly biconnected digraphs with at least two unoccupied positions. We theoretically analyze properties of the algorithm and properties of strongly biconnected directed graphs that are relevant to our approach. We perform a detailed empirical analysis of diBOX, showing a good scalability. To our knowledge, our work is the first study of multi-agent path finding focused on directed graphs.

I've been told it helps to take a deep breath. But unfortunately, I cannot do that." The setting is a competitive debate being held at Watson West, IBM's AI outpost in San Francisco's tech-centric SOMA neighborhood. Noa is Noa Ovadia, a champion debater from Israel. The speaker greeting her is her opponent--whose inability to breathe deeply makes perfect sense given that it's a piece of software, generating Siri-like female speech that emanates from a human-sized black column with a screen on its front. This is indeed the first time that the software in question, Project Debater, has shown its stuff outside of secret trial runs. Since 2012, IBM Research has been teaching it to debate humans on a vast array of subjects--making it a successor to Deep Blue (which beat Garry Kasparov in a six-game chess match in 1997) and Watson (which won a Jeopardy tournament against Ken Jennings and Brad Rutter in 2011). That was good enough to make the exhibition a success in the eyes of Noam Slonim, a senior technical staff member at IBM's research center in Haifa, Israel and the person who originally proposed the Project Debater idea in 2011. The effort now includes dozens of researchers at multiple IBM labs and is led by Slonim's Haifa colleague Ranit Aharonov. Merely seeing the software keep the audience engaged over a 20-minute debate "was a very positive feeling," he tells me at a post-debate reception. Witnessing a computer thrash the Kasparovs and Jenningses of competitive debating at their own craft would be an epoch-shifting moment, but "our goal is not to develop yet another system that is better than humans in doing something," stresses Aharonov. Instead, IBM wants to create debating software that can spar with "a reasonably competent human, but not necessarily a world champion, and come across holding its own," says IBM director of research Arvind Krishna. Still, even if the company is keeping its aspirations in check, its latest adventure in AI involves challenges unlike any it's tackled before. Soon after Watson bested Jennings and Rutter in a tournament taped at IBM's Yorktown, N.Y. research center in January 2011, the company began to think about how to top that memorable feat of artificial intelligence. "All of the thousands of researchers … got the same email asking what should be the next AI grand challenge that IBM Research should pursue," remembers Slonim. The goal, he explains, was to come up with a project that was "scientifically interesting and challenging and would have some business value.