Finally, a martian rover to call your own. A Polish team of engineers who first created a rover in a NASA contest that eventually led to Curiosity have revealed a remote control, backpack-sized version of their'land drone' designed to be used on Earth. The $1400 'Turtle Rover' has a robot arm that can be remotely controlled, a HD camera for livestreaming, and can have everything from GoPro's to laser mapping attachments added to it. The'Turtle Rover' land drone is built on NASA-inspired suspension and can conquer every terrain and even be submerged under water, making it possible for everyone from researchers to wildlife photographers to explore what might otherwise be inaccessible parts of Earth Its makers boast it can conquer every terrain and even be submerged under water, making it possible for everyone from researchers to wildlife photographers. ''The only real limit is your imagination' are not just empty marketing words we use,' Simon Dzwonczyk, CEO and mechanical designer of Kell Ideas, the maker of Turtle Rover, told DailyMail.com.

Alexa is adding kids skills.' (Photo: Amazon) Amazon boasts more than 20,000 "skills" for its Alexa-powered Echo speakers and all the many other devices in which Alexa increasingly lends her voice. On Thursday, Amazon announced that the first "kids" skills are coming to Alexa, along with a parental consent framework that mom and dad must approve before Junior can try out these skills. Alexa, it's time for work: Ask Cortana to read Outlook emails At launch, Amazon says there will be nine skills for Alexa, including a SpongeBob challenge through Nickelodeon, a Sesame Street skill in which kids can call Elmo or play hide and seek with him, and an Amazon Storytime skill in which short stores designed for youngsters 5 through 12 are read aloud via say an Echo by such narrators as Saturday Night Live's Aidy Bryant, and Tom Kenny, who is the voice of SpongeBob SquarePants. Storytime content is free and doesn't require an Amazon Rapids or Audible subscription, though Audible does plan to contribute short stories in the future. Amazon has opened up the kids' skills platform to developers and says hundreds have expressed interest.

You've probably seen the Watson commercials, where what looks like a sentient box interacts with celebrities like Bob Dylan, Carrie Fisher, and Serena Williams; or doctors; or a young cancer survivor. Maybe you caught the IBM artificial intelligence technology's appearance in H&R Block's Super Bowl commercial starring Jon Hamm. "It is one of the most powerful tools our species has created. It helps doctors fight disease," Hamm says. "It can predict global weather patterns. It improves education for children everywhere. And now we unleash it on your taxes."

Machine Learning is one of the hottest topics on the program at TechIgnite, a two day conference presented by IEEE Computer Society. The event is being held in Burlingame, CA on March 21 and 22, 2017. Will your next co-worker be a machine? Can a machine do a better job than you can in recommending a movie? Machine learning is having an enormous impact on every aspect of life, making it a very important topic of discussion at this event.

Warning: This post is dark and full of spoilers for the extended A Song of Ice and Fire book series on which the hit HBO show Game of Thrones is based. More than six years have passed since the release of the last book in George R.R. Martin's beloved A Song of Ice and Fire fantasy series, and no one actually knows when the next installment, the penultimate Winds of Winter, will be completed. Fans are now in the midst of a doubly dire wait as 2019 may be the soonest we get any new content regarding the fates of our favorite (or most despised) characters in Westeros. This wait was unacceptable to superfan and software engineer Zack Thoutt. He decided to use the knowledge gained from the artificial intelligence (AI) course he took with Udacity to build a recurrent neural network that could learn from Martin's previous five books and compile five brand-new chapters.

Most content-based websites, like Yahoo News, HuffPost, or any given news site, organize their stories according to subject matter or in some similar way. You can imagine that websites with a huge amount of stories must need an automated method to filter or categorize them as the content is ingested into their systems. For example, algorithms that power Yahoo News label news articles with tags (e.g., Military conflict, Nuclear policy, Refugees) as they are ingested, and then display the content by subject matter and/or on a personalized feed. This well-known process of labeling content with all its relevant tags is known as Multilabel Learning (MLL). Up to now, whenever scientists and engineers use MLL to create their own specific models to label content however they like, they have used datasets that have pre-computed features like bag-of-words, or dense representations like doc2vec.

There is a spoiler warning later in this post.* Minutes after the epic finale of the seventh season of Game of Thrones, fans of the show were already dismayed to hear that the final, six-episode season of the series isn't set to air until spring 2019. For readers of the A Song of Ice and Fire novel series on which the TV show is based, disappointment stemming from that estimated wait time is laughable. The fifth novel in seven-novel series, A Dance with Dragons, was published in 2011 and author George R.R. Martin has been laboring over the The Winds of Winter since, with no release date in sight. With no new source material, producers of the TV series have been forced to move the story forward themselves since late season 6. Tired of the wait and armed with technology far beyond the grand maesters of Oldtown, full-stack software engineer Zack Thoutt is training a recurrent neural network (RNN) to predict the events of the unfinished sixth novel.

Sometimes the upgrades are gentle, other times, like with the arrival of iOS 7 when every icon was changed and the look of the software given a massive overhaul, it's almost unrecognisable. This year is somewhere in between. There are updates to some of the shortcut icons (the Maps icon now includes the circular Apple Park HQ on it!) But this year there are plenty of alterations you'll notice. The biggest changes, arguably, are on the iPad, but there are so many of these I'll come back to them separately.

Amazon has unveiled a major software update for its Echo speaker allowing the gadget to work as a multi-room hifi system. It also revealed a new developer kit that will allow an Echo to control speakers made by other firms, such as Bose, Samsung and Sonos for the first time. The update will allow users to simply ask for the music they want to hear in each room - or to listen to music throughout the house. Rumors from earlier this month that Amazon is launching multi-room audio have come to fruit. Starting today users with multiple Echo products can play music simultaneously in multiple rooms.

Try this Deep Learning App yourself (refresh a couple of times initially if there's Application Error): Dot 0: Deep Learning in Sentiment Analysis Sentiment analysis is a powerful application which extends its arms to the following fields in the modern day world. According to Wikipedia: Sentiment analysis (sometimes known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Currently, it's creating waves in the field of Image processing, Natural Language Processing, Speech Processing, Video Processing etc. Movie Review Sentiment App uses a customized data-set of numerous movie reviews from various different sources like IMDB, UCI, Cornell dataset etc The process of making a gold data-set(Prepared data-set for prediction) is a step by step process of Data Collection, Data Cleaning, Data Normalization after which the data can be termed as a gold data-set for the prediction process.