Google said last week at its I/O developer conference that the revamped, artificial intelligence-powered Google News would be arriving on Apple's App Store some time in the next seven days. That time is apparently now, as the new Google News has gone live on iOS this afternoon and replaced the old Google Play Newsstand app. You can find the iOS link here. In the event you're looking for already-live Android version on the Play Store, you can find that here. The new Google News on iOS is similar to the one you'll find on Android.

The story begins with Decision Support which was the old trendy term which is being replaced by the new trendy term Business Intelligence (BI) and the even newer and trendier Analytics. Regardless of the term, the idea was that companies needed to make better decisions based on the data stored in their various operational systems and databases. So two guys from IBM came up with the idea of the Data Warehouse in the late 1980s. Their concept was to consolidate data from the various systems and databases into a single database, that is, a Data Warehouse, to serve as the source for creating analytics and reporting, that is, delivering decision support. It was a great idea and it worked! It was the first real step towards data integration because it solved the problem of isolated and heterogenous data stores, commonly referred to as data silos, by providing a single database for reporting and analysis. Some work was involved though.

The seminal work of Gatys et al. demonstrated the power of Convolutional Neural Networks (CNN) in creating artistic imagery by separating and recombining image content and style. This process of using CNN to render a content image in different styles is referred to as Neural Style Transfer (NST). Since then, NST has become a trending topic both in academic literature and industrial applications. It is receiving increasing attention and a variety of approaches are proposed to either improve or extend the original NST algorithm. This review aims to provide an overview of the current progress towards NST, as well as discussing its various applications and open problems for future research.

WHITE PLAINS, N.Y.--(BUSINESS WIRE)--May 15, 2018--, which, an artificial intelligence provider and legal research solution, has formed an internal Artificial Intelligence Taskforce consisting of attorney and staff representatives from various practice and industry groups throughout the firm to promote the use of new and disruptive technologies. A diverse group in terms of roles, practice groups and subject matter expertise, the taskforce is tasked with fostering the use of artificial intelligence, machine learning and other innovative technologies in ways that complement the firm's strategic business plan. Working with attorneys and staff, the group will continue to establish the firm's short and long-term strategy and execution of the firm's artificial intelligence action plan, taking into account the latest developments in the legal industry and beyond. "Artificial intelligence is growing at a phenomenal speed, and we are proud to be early adopters," said Chief Digital Officer Victor Barkalov. "We are operating at a time when AI has a potential impact on almost every aspect of our business, and we realized quickly that we needed a diverse group to assess how to best implement machine learning throughout the firm, while ensuring we are keeping our clients' best interests in mind. The taskforce recently recommended and implemented Clocktimizer, a tool designed to review timekeeping data to bring predictability and transparency to legal project management and budgeting. "Clocktimizer uses natural language processing to read time card narratives and identify the tasks and activities to help our attorneys with matter management, budgeting and pricing.

I have been interested in robots and robotics since I was very young. The term robot is attributed to the author Karel Čapek through his play R.U.R. (Rossum's Universal Robots), which includes a factory that makes artificial people called roboti (robots) from synthetic organic matter.1 Most of us think of robots as mechanical contraptions, but the robots in R.U.R. were artificial humanoids grown from a process that produced living, thinking beings. My interest in robots was stimulated sometime in the 1960s by reading the novel I, Robot by Isaac Asimov.2 Since then, our imaginations have been sparked by other robots, including Gort, the menacing protector in The Day the Earth Stood Still;3 the robot in the television series and movie Lost in Space ("Danger, Will Robinson! Some of the robots have been humaniform (e.g., Gort, Hector, C-3PO, and Data) and others have not (e.g., HAL and R2-D2). I also remember as a teenager reading the comic books about Magnus, Robot Fighter, a human trained by a robot to battle rogue robots in the year 4000.10 The robotics imagined by Isaac Asimov followed (for the most part) four laws of robotics that he formulated: "(0) A robot may not harm humanity, or, by inaction, allow humanity to come to harm.

Vimarsh Karbhari(VK): What are the top three books about AI/ML/DS have you liked the most? What books have had the most impact in your career? VK: What tool/tools (software/hardware/habit) that you have as a Data Scientist has the most impact on your work? Github because it allows all of my code to be in one place and allows me to share it with my team members (along with use some of their code in my work). It also allows version control, code reviews, and a backup for my code.

Recently, Spotify, a global music content platform, introduced a new feature, Discover Weekly, as an intelligent playlist developer for its users. Based on a listener's past history, preferences and the trends reflected by analysing data from music aficionados with similar tastes, the company implemented machine learning'best fit' algorithms to provide its users with a delectable list of latest music that kept them glued to their headphones for hours. This is one of the many instances where AI has transformed customer experience as we know it. The two most popular vowels on the internet, AI or Artificial Intelligence, are being implemented by various industries to learn from data, identify the most efficient operational processes and go beyond passive advertisements to enhance the customer engagement quotient. In fact, a report by Servion predicts that AI will power 95 per cent of all customer interactions by 2025.

The illuminance at the camera is 0.1 lux. Imaging in low light is challenging due to low photon count and low SNR. Short-exposure images suffer from noise, while long exposure can lead to blurry images and is often impractical. A variety of denoising, deblurring, and enhancement techniques have been proposed, but their effectiveness is limited in extreme conditions, such as video-rate imaging at night. To support the development of learning-based pipelines for low-light image processing, we introduce a dataset of raw short-exposure night-time images, with corresponding long-exposure reference images.

Earlier this year I wrote about the coming robot storm and the studies that suggest many jobs now held by humans will soon be executed by robots. Yesterday the Guardian published an article by Stephen Hawking who was commenting on, among other things, growing income inequality. He remarked, "The automation of factories has already decimated jobs in traditional manufacturing, and the rise of artificial intelligence is likely to extend this job destruction deep into the middle classes, with only the most caring, creative or supervisory roles remaining." What exactly is AI and how does it differ from basic automation such as a robot working an assembly line? AI stands for Artificial Intelligence and though those words may inspire grandiose images of androids such as Star Trek's Data, the applications for it are far less advanced but also more widespread.

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. In the Lucinda Williams song "Changed the Locks"--first released in 1988, then again in 1996 by Tom Petty and the Heartbreakers as "Change the Locks"--the singer describes a number of things you have to change to insulate yourself from an ex: There's nary a mention of one of the most obvious things you have to change after a messy breakup today: a password. Malicious exes now have access to a world of tech-facilitated stalking methods, and it's important to lock them out of your accounts. Your Netflix, alas, is the least of the worries here. While "passwords" may have once meant simply banking PINs and social media passwords--which can do an awful lot of danger on their own--we now also have to remember to update access information for all sorts of apps and devices.