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Artificial Intelligence finds solar system with 8 planets

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In a major revelation, NASA's Kepler space telescope and Artificial Intelligence (AI), the US space agency has informed that a solar system with as many planets as our own has been discovered. The newly identified planet, Kepler-90i is like a mini version of our solar system, is a rocky planet like Earth, but orbits its star once every 14.4 days, meaning a full year there is the same as two weeks on Earth. More planets are expected to be found, because researchers plan to apply their neural network to Kepler's full set of more than 150,000 stars. NASA calculated its average temperature at about 800 degrees Fahrenheit (426 Celsius) as hot as Mercury, the closest planet to the Sun. From traditional sports like cricket to best Bollywood entertainment news, NYOOOZ TV is a must watch for news updates.


Artificial Intelligence and NASA Data Used to Discover Eighth Planet Circling Distant Star

@machinelearnbot

Our solar system now is tied for most number of planets around a single star, with the recent discovery of an eighth planet circling Kepler-90, a Sun-like star 2,545 light years from Earth. The planet was discovered in data from NASA's Kepler space telescope. The newly-discovered Kepler-90i -- a sizzling hot, rocky planet that orbits its star once every 14.4 days -- was found by researchers from Google and The University of Texas at Austin using machine learning. Machine learning is an approach to artificial intelligence in which computers "learn." In this case, computers learned to identify planets by finding in Kepler data instances where the telescope recorded signals from planets beyond our solar system, known as exoplanets.


Researchers from University of Melbourne using machine learning to find fake news on Twitter OpenGovAsia

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Researchers at the University of Melbourne are using machine learning to distinguish false information from the truth on social media platform, Twitter. Increasing numbers of people rely on their social media feeds for news. But algorithms on social media platforms prioritise engagement over accuracy, and unscrupulous content creators can easily create and post misleading or even outright false information', motivated by financial, political or other reasons. Professor Stephan Winer and Marie Truelove from the Melbourne School of Engineering have developed a framework to assess whether a tweet is a witness account from a first-hand experience or not, relying on the principle that witness accounts are more trustworthy than hearsay. The framework analyses details of a tweet to determine whether it is a witness account.


TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning: Bharath Ramsundar, Reza Bosagh Zadeh: 9781491980453: Amazon.com: Books

@machinelearnbot

Reza Bosagh Zadeh is Founder CEO at Matroid and Adjunct Professor at Stanford University. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. Reza received his PhD in Computational Mathematics from Stanford University under the supervision of Gunnar Carlsson. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has served on the Technical Advisory Boards of Microsoft and Databricks.


Preventing an Artificial-Intelligence Fueled Dystopia, One Student at a Time

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AI is coming for your job. AI is taking over the world. If we compiled all the headlines about artificial intelligence from the last year, we'd have a picture of a dystopian world where jobs are scarce and AI and automation rule everything we do. In this scenario, millions of people are impacted by AI and autonomous systems created with little regard for their consequences: They are deployed in unethical ways, riddled with errors and bias, and discriminatory. The obscurity of how AI works and where it's used result in fear and confusion.


10 Companies Using Machine Learning in Cool Ways

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If science-fiction movies have taught us anything, it's that the future is a bleak and terrifying dystopia ruled by murderous sentient robots. Fortunately, only one of these things is true – but that could soon change, as the doomsayers are so fond of telling us. Artificial intelligence and machine learning are among the most significant technological developments in recent history. Few fields promise to "disrupt" (to borrow a favored term) life as we know it quite like machine learning, but many of the applications of machine learning technology go unseen. Want to see some real examples of machine learning in action?


Create Twitter WordCloud with just 40 lines of RCode

@machinelearnbot

Guess whose twitter handle gives this word cloud? You are right, that is Andrew Ng tweeting about his new Deep Learning course on Coursera! It's always fun to see data in action; isn't it? Let's try and create a similar wordcloud for three world leaders, viz. A wordcloud is a data visualisation technique in which the size of each word indicates its frequency or importance in the associated text (i.e., the more times a word appears in the corpus, the bigger the word) Since you are interested in creating a wordcloud from twitter handles using R, I will safely assume you have both, a Twitter account to your name, and RStudio installed on your machine.


Making R Code Faster : A Case Study

@machinelearnbot

I had a working, short script that took 3 1/2 minutes to run. While this may be fine if you only need to run it once, I needed to run it hundreds of time for simulations. My first attempt to do so ended about four hours after I started the code, with 400 simulations left to go, and I knew I needed to get some help. This post documents the iterative process of improving the performance of the function, culminating in a runtime of .64 seconds for 10,000 iterations, a speed-up of more than 100,000x. At Etsy I work a lot on our A/B Testing system.


In Ed Lee's San Francisco, Utopia and Dystopia Are Neighbors

WIRED

From the tall windows of WIRED's offices in San Francisco's South-of-Market neighborhood I've watched almost a decade of radical change made physical in concrete and glass. The city's forest of new skyscrapers is at least in part the legacy of Mayor Ed Lee, who died early Tuesday morning after almost seven years in office. San Francisco is rolling into the second quarter of the 21st century with the purposeful but cautious stutter-step speed of a first-generation self-driving car--the wealthiest, youngest, smartest people on earth live alongside some of the poorest; utopia and dystopia are barely a few blocks apart. That's the city Ed Lee built. It's a cliché to say upon a politician's death that he or she had a complicated legacy, but here we are. Lee was a housing advocate who presided over a city in a deepening housing crisis, facing massive gentrification, displacement, and homelessness.


Can A Machine Write Horror Stories?

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Appropriately on Halloween, researchers from the Massachusetts Institute of Technology have taught Artificial Intelligence to write scary stories. Every hour, a new story is posted on Twitter. Some of them are really scary. The question that faced the developers of the MIT Media Lab was whether they could teach a machine to scare people. For evoking emotions such as fear and fear would be an art previously reserved for human creativity alone.