The 2016 Summer Movie Preview is a snapshot of the films opening through early September. Release dates and other details, as compiled by Kevin Crust, are subject to change. The view of Earth from space and the information it reveals about humanity's effect on the planet are examined in this large-format science documentary. Business suddenly picks up for a London kosher baker when his young Muslim apprentice accidentally drops a stash of pot into the mixer. Written by Yehudah Jez Freedman and Jonathan Benson. The kidnapping of a beloved kitty forces two naive cousins to infiltrate a street gang. Written by Peele & Alex Rubens. In 1913 Cambridge, England, a young Indian math genius joins forces with an eccentric professor. Written and directed by Matthew Brown. Written by Lily Hollander, Anya Kochoff Romano. After an auto accident, a young woman finds herself in a life at odds with the one she remembers. Written by Doc Pedrolie and Victoria Arch. The famous writer's downward spiral is witnessed by a young reporter during the revolution. With Minka Kelly, Giovanni Ribisi, Joely Richardson, Adrian Sparks. A lonely lombax and a tiny robot team with the Galactic Rangers to save their world in this animated adventure.

See Sea Hunter hunt submarines. Was it really only December that DARPA told us it was building a submarine-hunting drone-ship for the Navy? Well, get ready to be surprised. Just four months after we learned of the existence of the Anti-Submarine Warfare Continuous Trail Unmanned Vessel program, or ACTUV, it's already complete -- and afloat. Last week, the Pentagon's mad scientists at the Defense Advanced Research Projects Agency unveiled the ACTUV prototype in Portland, Ore., christening the vessel Sea Hunter.

Autonomous cars use a variety of technologies like radar, lidar, odometry and computer vision to detect objects and people on the road, prompting it to adjust its trajectory accordingly. But these tools can drive up the cost of driverless cars, and still aren't as effective as the human brain in visually distinguishing some objects from pedestrians. To tackle this problem, electrical engineers from University of California, San Diego used powerful machine learning techniques in a recent experiment that incorporated so-called deep learning algorithms in a pedestrian-detection system that performs in near real-time, using visual data only. "We're aiming to build computer vision systems that will help computers better understand the world around them," said Nuno Vasconcelos, an electrical engineering professor at the University of California San Diego who led the study, quoted in a story posted by UC San Diego's Jacobs School of Engineering. The findings, which were presented at the International Conference on Computer Vision in Santiago, Chile, are an improvement over current methods of pedestrian detection, which uses something called cascade detection.

Ovo Energy CTO Mariano Albera has built up the technology team at the utilities company from just three engineers to a unit of 100, embedding a culture shift here Ovo is a tech company first and an energy company second. How are you influencing the products, experience and services your organisation offers to its customers? Technology is at the heart of everything we do at Ovo Energy. For the past two years we have been transforming ourselves to be a Technology and Digitally driven company, which means we drive most projects and digital products directly from the Technology team and with a Digital Customer first focus. How as CIO have you affected cultural change and / or behaviour in your organisation and to what extent?

Unless otherwise specified, we will refer to non-GAAP metrics on the call. The non-GAAP measures exclude the net impact from revenue deferrals and the impact of integration and restructuring charges. The non-GAAP financial measures provided should not be considered as a substitute for or superior to the measures of financial performance prepared in accordance with GAAP. They are included as additional clarifying items to aid investors in further understanding the company's third-quarter performance in addition to the impact that these items and events had on the financial results. All growth comparisons we make on the call relate to the corresponding period of last year unless otherwise noted.

Like Beyoncé, we now know, Hillary Clinton has hot sauce in her bag. She said so on New York's Power 105.1, so it must be true. Still, Donald Trump doesn't believe her, nor do Rush Limbaugh, Laura Ingraham nor many of Fox News' talking heads. Even Power 105.1 host Charlamagne Tha God kind of accused her of pandering. I think she just likes hot sauce -- and not just because she's on record as a chilehead in interviews going back at least to 2008.

With the latest breakthroughs in artificial intelligence a whole new concept of food may soon radically change what we eat. And at the same time, some experts believe it could reduce global warming. If we were to start from scratch, and we want to figure out the most efficient way to deliver nutrition to the 7.1 billion people on this planet, the answer wouldn't be animals. Science would tell you to do something different. No longer based on animal ingredients, this is a food entirely based on plants - although it looks and tastes like the classic food.

Share the post "How artificial intelligence is changing our world – Intelligent Barbie dolls and other innovative uses – Part 2" Artificial intelligence is a field that has wide ranging applications across various industries as we saw in the first part of this series. Here are five other interesting uses of AI which will show you that with the right idea, there's literally no limit on what is possible with the technology. Have you ever wondered how an artificial neural network sees the world? DeepDream is made up of artificial neural networks (ANNs). This means that a computer is running stacked layers of artificial neurons which are used to process images.

This paper investigates the problem of cross-lingual transfer parsing, aiming at inducing dependency parsers for low-resource languages while using only training data from a resource-rich language (e.g., English). Existing model transfer approaches typically don't include lexical features, which are not transferable across languages. In this paper, we bridge the lexical feature gap by using distributed feature representations and their composition. We provide two algorithms for inducing cross-lingual distributed representations of words, which map vocabularies from two different languages into a common vector space. Consequently, both lexical features and non-lexical features can be used in our model for cross-lingual transfer. Furthermore, our framework is flexible enough to incorporate additional useful features such as cross-lingual word clusters. Our combined contributions achieve an average relative error reduction of 10.9% in labeled attachment score as compared with the delexicalized parser, trained on English universal treebank and transferred to three other languages. It also significantly outperforms state-of-the-art delexicalized models augmented with projected cluster features on identical data. Finally, we demonstrate that our models can be further boosted with minimal supervision (e.g., 100 annotated sentences) from target languages, which is of great significance for practical usage.

As a reminder, all participants' lines will be in the listen-only mode. There will be an opportunity for you to ask questions after the presentation concludes. I would now like to hand the conference over to Mr. Aravind Viswanathan. Thank you and over to you, sir. We will begin the call with business highlights and overview by Abid, the Chief Executive Officer and Member of the Board, followed by the financial overview by our CFO, Jatin Dalal. Afterwards, the operator will open the bridge for Q&A with our management team. Before Abid starts, let me draw your attention to the fact that during this call, we may make certain forward-looking statements within the meaning of Private Securities Litigation Reform Act 1995. These statements are based on management's current expectations and are associated with uncertainties and risks, which may cause the actual results to differ materially from those expected. The uncertainties and risk factors are being explained in our detailed filings with the SEC. Wipro does not undertake any obligation to update the forward-looking statements to reflect events and circumstances after the date of filing thereof. The conference call will be archived and the transcript will be available on our website. Ladies and gentlemen, let me now hand it over to Mr. Abid. Today is the first opportunity for me to interact with all of you since I've taken over as the Chief Executive Officer of Wipro, and it's a special moment for me. While I will speak about the performance of our full quarter and the full fiscal year, I thought I will take this opportunity to begin by speaking about our ambition, our strategy and how we are going to execute this strategy. Since I got announced within two days, I was able to define and announce my structure and I had already preselected my leadership team which I announced on 6th of January, effective February 1. Over the past 80 days after I have taken over as CEO, I've had the opportunity to go around the globe and meet about 70 of our top 100 clients. And both with my leadership team and with the customers, I've had the opportunity to validate the strategy that we have been working on and this gives me a high level of confidence on the relevance of our overall strategy. Our ambition is to double our revenues to 15 billion by fiscal 2020 with a 23% operating margin.