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.

Artificial intelligence (AI) holds the promise of transforming both static and dynamic security measures to drastically reduce organizational risk exposure. Turning security policies into operational code is a daunting challenge facing agile DevOps today. In the face of constantly evolving attack tools, building a preventative defense requires a large set of contextual data such as historic actuals as well as predictive analytics and advanced modeling. Even if such feat is accomplished, SecOps still needs a reactive, near real-time response based on live threat intelligence to augment it. While AI is more hype than reality today, machine intelligence -- also referred to as predictive machine learning -- driven by a meta-analysis of large data sets that uses correlations and statistics, provides practical measures to reduce the need for human interference in policy decision-making.

In order to alleviate data sparsity and over-fitting problems in maximum likelihood estimation (MLE) for sequence prediction tasks, we propose the Generative Bridging Network (GBN), in which a novel bridge module is introduced to assist the training of the sequence prediction model (the generator network). Unlike MLE directly maximizing the conditional likelihood, the bridge extends the point-wise ground truth to a bridge distribution conditioned on it, and the generator is optimized to minimize their KL-divergence. Three different GBNs, namely uniform GBN, language-model GBN and coaching GBN, are proposed to penalize confidence, enhance language smoothness and relieve learning burden. Experiments conducted on two recognized sequence prediction tasks (machine translation and abstractive text summarization) show that our proposed GBNs can yield significant improvements over strong baselines. Furthermore, by analyzing samples drawn from different bridges, expected influences on the generator are verified.

Facebook has apologised for suggesting its users should watch child sex abuse videos. The suggestion was just one of a range of strange messages that were shown in the site's search bar overnight. Users reported that if they typed only "videos of" into the site's search engine, they would be greeted with a range of horrifying, vulgar and strange suggested searches. Many of the results used sexual language, with some referring to "little girls", and the suggestions came up even to users who searched in other languages. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

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.

Revolutions do not always follow a linear timeline. They can be sporadic and unpredictable. NITI Aayog's roadmap for national Artificial Intelligence programme hopes to bring one such revolution. The allocated Rs 3,073 crore will spearhead work on fifth generation technology startups like Artificial Intelligence, Machine Learning (ML), Internet of Things (IoT), 3D printing and Blockchain. The magnanimity of effort can be gauged by the near doubling of the fund for the programme. Atal Innovation Mission can give Rs 10 crore to start-ups that fit the criteria.

China isn't just investing heavily in AI--its experts aim to set the global standards for the technology as well. Academics, industry researchers, and government experts gathered in Beijing last November to discuss AI policy issues. The resulting document, published in Chinese recently, shows that the country's experts are thinking in detail about the technology's potential impact. Together with the Chinese government's strategic plan for AI, it also suggests that China plans to play a role in setting technical standards for AI going forward. Chinese companies would be required to adhere to these standards, and as the technology spreads globally, this could help China influence the technology's course.

While CES is regarded as the biggest event of the year for launching crazy gadgets, SXSW sees its fair share of new products, too. Ahead of the numerous thought-leader panels and brand activations, companies use media spectacle to debut their futuristic contraptions. This year, for example, Bose debuted a new pair of augmented reality glasses: Bose AR. While other AR glasses focus on relaying additional information in your field of vision, Bose's glasses instead use audio to deliver stats and information about the world around you. Bose AR falls in line with the types of products you'd expect to see at a tech-focused trade show: cutting-edge technologies that build on existing trends.

Today is World Sleep Day. Oh, great, you might say, if you'd known that at 8am you'd have known you had a good excuse to stay in bed. The point of the day is to raise awareness about the importance of sleep and how lack of it can affect everything from education to our social lives. If you're feeling weary right now, you will already know all this. So, here's a guide to some of the best ways technology has been used to create some of the best, most comfortable bedding, for a start.

Apple will hold an event this month where it could launch a whole range of new products. The company sent out invitations – bearing the strange messages "Let's take a field trip" – to an event that will happen on 27 March. A number of things about the invitation are strange and unexpected. It seems that the event will focus on education – and it will take place in Chicago, not Apple's home in Cupertino, California, despite the fact the company specifically built a theatre for these events at its new campus. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.