"We will always do what is necessary to defend ourselves, our allies and our values against an attack of this sort, which is an attack not only on the United Kingdom, but upon the international rules-based system on which all countries, including Russia, depend for their safety and security," Bristow told reporters.

DUNSTABLE, United Kingdom--(BUSINESS WIRE)--AccelStor, an innovative all-flash array (AFA) provider for the big data era, is excited to announce its participation in the upcoming Cloud Expo Europe, taking place from March 21 to 22 at Booth C1850 in the ExCel London exhibition centre. Besides presenting latest all-flash storage solutions breaking through performance and availability barriers for artificial intelligence (AI), virtualization and private cloud, AccelStor will present a live demonstration of its new generation NeoSapphire high availability models, one of the highlights not to be missed this year. AccelStor NeoSapphire all-flash arrays are highly integrated with virtualization and private cloud platforms, supporting VMware vSphere and OpenStack Cinder. NeoSapphire's "high availability" series features symmetric active-active, clustered shared-nothing architecture (SNA), providing full redundancy and 99.9999% reliability, enabling enterprises to achieve non-disruptive operations effortlessly. In addition, the patented FlexiRemap software technology accelerates data processing and unleashes the true performance of big data workloads with outstanding performance, over 1 million IOPS for 4KB random access.

The evolution of unmanned aerial vehicles (UAVs), more commonly known as drones, is developing at a rapid pace. Not only is the technology progressing, but regulations are being adapted to encourage wider adoption. With the new FAA Part 107 Rules in the USA, users no longer need to have a commercial pilot license to operate a drone and in the UK, the National Air Traffic Control Service (NATS) is laying the foundation for drones to fly beyond their operators' line of sight – due to the development of new technology that can track small unmanned devices at low altitude. The release of applications is also starting to complement a wider variety of industries, inspiring further implementation. UAVs have come a long way since the Kettering Bug, a drone developed during the First World War.

Distribution grid is the medium and low voltage part of a large power system. Structurally, the majority of distribution networks operate radially, such that energized lines form a collection of trees, i.e. forest, with a substation being at the root of any tree. The operational topology/forest may change from time to time, however tracking these changes, even though important for the distribution grid operation and control, is hindered by limited real-time monitoring. This paper develops a learning framework to reconstruct radial operational structure of the distribution grid from synchronized voltage measurements in the grid subject to the exogenous fluctuations in nodal power consumption. To detect operational lines our learning algorithm uses conditional independence tests for continuous random variables that is applicable to a wide class of probability distributions of the nodal consumption and Gaussian injections in particular. Moreover, our algorithm applies to the practical case of unbalanced three-phase power flow. Algorithm performance is validated on AC power flow simulations over IEEE distribution grid test cases.

This paper addresses the problem of formally verifying desirable properties of neural networks, i.e., obtaining provable guarantees that the outputs of the neural network will always behave in a certain way for a given class of inputs. Most previous work on this topic was limited in its applicability by the size of the network, network architecture and the complexity of properties to be verified. In contrast, our framework applies to much more general class of activation functions and specifications on neural network inputs and outputs. We formulate verification as an optimization problem and solve a Lagrangian relaxation of the optimization problem to obtain an upper bound on the verification objective. Our approach is anytime, i.e. it can be stopped at any time and a valid bound on the objective can be obtained. We develop specialized verification algorithms with provable tightness guarantees under special assumptions and demonstrate the practical significance of our general verification approach on a variety of verification tasks.

Bayesian optimization is the core technique behind the emergence of AutoML, which holds the promise of automatically searching for models and hyperparameters to make machine learning techniques more accessible. As such services are moving towards the cloud, we ask -- {\em When multiple AutoML users share the same computational infrastructure, how should we allocate resources to maximize the "global happiness" of all users?} We focus on GP-EI, one of the most popular algorithms for automatic model selection and hyperparameter tuning, and develop a novel multi-device, multi-tenant extension that is aware of \emph{multiple} computation devices and multiple users sharing the same set of computation devices. Theoretically, given $N$ users and $M$ devices, we obtain a regret bound of $O((\text{\bf {MIU}}(T,K) + M)\frac{N^2}{M})$, where $\text{\bf {MIU}}(T,K)$ refers to the maximal incremental uncertainty up to time $T$ for the covariance matrix $K$. Empirically, we evaluate our algorithm on two applications of automatic model selection, and show that our algorithm significantly outperforms the strategy of serving users independently. Moreover, when multiple computation devices are available, we achieve near-linear speedup when the number of users is much larger than the number of devices.

The moon is under constant bombardment by meteorites and asteroids that can leave massive craters on its surface. The Aitken basin, the largest impact crater on the lunar surface, has a diameter equivalent to the distance from London to Athens, Greece. But not all craters are so noticeable -- most are relatively insignificant. Thousands of previously unknown craters have been spotted on the moon thanks to an artificial intelligence program designed by researchers at the University of Toronto. "We created an A.I. powered method that autocratically identifies craters on the surface of the moon, and possibly other bodies," Mohamad Ali-Dib, a postdoctoral fellow in the Centre for Planetary Sciences who worked on the project, told Digital Trends.

In February Olajide KSI Olatunji, a British YouTuber with more than 18.5 million followers managed to attract more viewers to a white collar boxing match between two amateur fighters than watched the FA Cup final. Now, a date and location for the sequel to that fight, due to be contested by two of online video's biggest stars has been released – though the future of the fight itself is in jeopardy. Twenty four-year-old KSI has been engaged in a war of words with Logan Paul, the 22-year-old YouTuber famous for uploading a video of a suicide victim to YouTube, triggering a temporary ban from making money on the site, since calling out the American after defeating Joe Weller, another YouTuber, in front of a sold-out crowd at the Copper Box Arena back in February. In tweets sent overnight on Thursday between the two YouTubers, who have more than 35 million subscribers between them, the pair revealed key details about their mooted meeting. The bout, due to be the first of two between the YouTubers, has been pencilled in for 25 August, a bank holiday weekend.

The late Stephen Hawking's A Brief History of Time is one of history's least likely best-sellers. Yet the book was a pop-cultural phenomenon, selling more than 10 million copies and popularizing everything from advanced cosmological theories to the phrase "turtles all the way down." It was also adapted into a documentary of the same name by Errol Morris. A Brief History of Time (which is currently streamable on FilmStruck) was Morris' first major documentary after The Thin Blue Line and the first of his portrait films. Combining interviews with Hawking, his family, his friends, and his colleagues with clips from Disney's bizarre live-action sci-fi film The Black Hole, archival images, and, of course, a Philip Glass score, A Brief History of Time is the kind of film that only Morris could make. After Hawking's death on Wednesday, I called up Morris to talk about making the film, why Hawking was his generation's celebrity scientist, and their friendship, which continued for decades. Isaac Butler: What drew you to the book--or to Hawking--as a subject?

Fans of U2 will have something in common with this bot. 'ANYmal,' built by researchers at the Robotic Systems Lab of ETH Zurich in Switzerland, can capture sound data from any song and then translate it into perfectly synced dance moves. For more videos, subscribe to Mashable Daily: http://on.mash.to/SubscribeNews Give us a follow: Facebook: https://www.facebook.com/mashable/