We may be about to meet some strange new worlds beyond our solar system.
NASA will hold a news conference Wednesday to make an announcement on exoplanets, planets that orbit a star other than our own sun. You can tune in at 1 p.m. ET and stick around for a Reddit Q&A with the researchers at 3 pm.
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NASA has enlisted a professor from the University of Central Florida (UCF) in order to find a way of 3D printing structures on Mars.
Pegasus Professor Sudipta Seal, interim chair of UCF’s Materials Science and Engineering program is looking at how metals can be extracted from Martian soil. Speaking about the project, Seal said,
It’s essentially using additive-manufacturing techniques to make constructible blocks. UCF is collaborating with NASA to understand the science behind it.
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Pulling uranium out of seawater could be a cost-effective way to source nuclear fuel, scientists have found, and the technique could pave the way for coastal countries to switch to nuclear power.
With the International Atomic Energy Agency currently predicting an increase of up to 68 percent in nuclear power production over the next 15 years, finding a new, more environmentally friendly source of uranium — the most critical ingredient in nuclear power — could give this alternative to fossil fuels a boost.
Researchers from Stanford University in California have found a way to more efficiently extract the uranium dissolved in our oceans, which could one day help nations with plenty of ocean-front land and no uranium collect fuel for nuclear energy.
We celebrate her birthday and life but what fun is there to living so long when aging takes its toll? Science is aiming to do better, find out how here!
Today, February 21, is the birthday of Jeanne Louise Calment – the oldest verified human being ever, who managed to live an amazing 122 years and 164 days!
Jeanne was an independent and positive person, and she managed to live all alone until aged 110. After a fire in her apartment she moved into a nursing home, but even there she was still able to take care of herself. However, shortly before her 115th birthday she fell down a stairway and never fully recovered her ability to walk.
Surprisingly, when Jeanne was 118 years old, cognitive tests revealed she scored within the normal range, without signs of dementia. However, by that time she was physically frail and required a wheelchair.
“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.” — Stephen Hawking.
Automation is inevitable. But we still have time to take action and help displaced workers.
Automation is accelerating. The software powering these robots becomes more powerful every day. We can’t stop it. But we can adapt to it.
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It wasn’t that long ago that building and training neural networks was strictly for seasoned computer scientists and grad students. That began to change with the release of a number of open-source machine learning frameworks like Theano, Spark ML, Microsoft’s CNTK, and Google’s TensorFlow. Among them, TensorFlow stands out for its powerful, yet accessible, functionality, coupled with the stunning growth of its user base. With this week’s release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions.
TensorFlow isn’t just for neural networks anymore
In an effort to make TensorFlow a more-general machine learning framework, Google has added both built-in Estimator functionality, and support for a number of more traditional machine learning algorithms including K-means, SVM (Support Vector Machines), and Random Forest. While there are certainly other frameworks like SparkML that support those tools, having a solution that can combine them with neural networks makes TensorFlow a great option for hybrid problems.
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