Scientist


Robots can now see into the near future

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The new technology comes from computer scientists based at University of California - Berkeley. Taking'machine learning' principles and creating specialized'robotic learning' systems, the researchers have given robots a degree of precognition. This new way of thinking will, one day, help to advance self-driving cars and to develop more intelligent robotic assistants for business operations. As things stand currently, the new technology has been tested out through an initial prototype which focuses on learning simple manual skills entirely from autonomous play. This is the foundation for more advanced applications with robotics.


Found: Another star system with eight planets, just like ours

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Only a handful of known star systems have more than a single planet. With eight worlds, our solar system has long taken the prize for the biggest lineup. Our corner of the galaxy now shares the record with another system, Kepler 90, NASA and Google researchers announced Thursday. A Google algorithm uncovered a scorcher of a planet, a rock 30 percent larger than Earth, orbiting a star a few thousand light-years away. This planet, Kepler 90i, brought the total number of planets circling its star to eight -- just like our solar system's octuplets.


An Intelligence That Can See Its Own Future Created by Scientists

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Researchers from UC Berkeley have created a technology that allows robots to imagine how their actions will turn out in the future. Using this approach, the robots are able to interact with objects that they've never come across previously. The way the technology helps the robots predict the future is called visual foresight. It gives the robotic system an ability to anticipate what future actions, like a series of movements, would look like in its camera. In essence, a robotic imagination is invoked, allowing predictions several seconds into the future.


Will Artificial Intelligence Become Conscious?

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Forget about today's modest incremental advances in artificial intelligence, such as the increasing abilities of cars to drive themselves. Waiting in the wings might be a groundbreaking development: a machine that is aware of itself and its surroundings, and that could take in and process massive amounts of data in real time. It could be sent on dangerous missions, into space or combat. In addition to driving people around, it might be able to cook, clean, do laundry--and even keep humans company when other people aren't nearby. A particularly advanced set of machines could replace humans at literally all jobs.


Data lifting and why it has to be made easy

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At the end of 2017, there will be 8.4 billion connected things in use worldwide up 31 percent from 2016, and this figure is expected to reach 20.4 billion by 2020. When Internet of Things (IoT) as an industry took off in India, it spawned a host of startups selling edge devices that could gather and crunch data from corporate customers. These startups ran into one fundamental problem, which was data lifting. The data was so voluminous that these startups took so much time to organise them that they ran out of money to keep the companies afloat. In the end, their services were just organising data for customers with very little insights.


Two common threads tying together 2018 tech trends

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Many of the technology trends that drove us into 2017 will continue into 2018: connected devices, digital transformation, the internet of things (IoT), machine learning, artificial intelligence, and automation. These hot-button issues will remain part of the technology vocabulary in 2018 and beyond. Where I see a substantive difference is in the union of the technologies. AI and IoT are transformative by themselves; now imagine digital transformation in a connected and automated world empowered by an artificial intelligence of things. Going into 2018, I see two common technology characteristics: intelligence and automation.


First Alien Star System With Eight Planets Found

National Geographic News

An illustration of NASA's Kepler spacecraft, which started hunting for new planets in 2009. In a first for astronomy, scientists trained a neural network to sift through scads of data from a planet-hunting telescope, and it found a whole new world. Dubbed Kepler-90i, the newfound planet had been hiding in the buckets of data gathered by NASA's Kepler spacecraft. It joins seven other planets circling a star roughly 2,500 light-years away, which means the Kepler-90 system ties our own planetary family for hosting the most known worlds. "Kepler has already shown us that most stars have planets," NASA's Paul Hertz said during a press conference revealing the discovery.


Google AI, Kepler spacecraft find first 8-planet system outside of our own

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Before a Google machine learning program discovered an eighth planet in an exoplanet system using NASA spacecraft observations, the only other known system with as many planets was our own. Kepler has been scanning for planet systems beyond our solar system since 2009 and has made countless discoveries of planets orbiting stars, but so far none of those systems have contained as many planets as our own. That changed recently with the help of a Google AI program that found an an eighth planet orbiting the sun-like star Kepler 90, NASA scentists announced Thursday. Like Earth, this new planet, Kepler-90i, is the third rock from its sun. But it's much closer to its sun -- orbiting in just 14 days -- and therefore is a scorching 800 degrees Fahrenheit (427 Celsius) at the surface. In fact, all eight planets are scrunched up around this star, orbiting closer than Earth does to our sun. Kepler scientists already knew of seven planets orbiting Kepler 90, but hadn't been able to detect Kepler 90i. Google AI software engineer Christopher Shallue and NASA Sagan Postdoctoral Fellow Andrew Vanderburg used data collected by NASA's exoplanet hunter, the Kepler Space Telescope, to develop a machine-learning computer program. It focuses on weak planetary signals -- so feeble and numerous it would take humans ages to examine. "The machine-learning model was able to look at more signals than it would be reasonable for humans to look at," said Christopher Shallue, a senior software engineer at Google AI. NASA officials said this was the first time an algorithm like this has been used to confirm an exoplanet, and they expect more discoveries. "I'm on the edge of my seat to see what Chris and Andrew learn when they apply their algorithm to those sections of the sky," Kepler project scientist Jessie Dotson said. The Associated Press contributed to this report.


NASA discovers Earth-like planet system using Artificial Intelligence!

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The NASA has discovered the first star system apart from ours, with as many planets as our own. The biggest known system till now had seven planets. The Kepler-90 is some 2,500 light years away from Earth. The "mini version of our solar system" was discovered with NASA's Kepler telescope and Artificial Intelligence. What does this mean for the search for extra-terrestrial life?


Artificial intelligence finds solar system with 8 planets like ours - Times of India

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MIAMI: A solar system with as many planets as our own has been discovered with the help of NASA's Kepler space telescope and Artificial Intelligence (AI), the US space agency said Thursday. "Our solar system now is tied for most number of planets around a single star," NASA said in a statement. However, none of the planets are expected to be hospitable to life. The eight-planet system -- the largest known outside of ours -- orbits a star called Kepler 90 some 2,545 light-years away. "The Kepler-90 star system is like a mini version of our solar system," said Andrew Vanderburg, an astronomer at the University of Texas at Austin.