Wonder if my friends Alex and Ray have read this.
An expert at the University of California discusses how spliced RNA could decipher ‘normal’ aged cells from pre-cancerous and cancerous ones, which could lead to detecting aging cells.
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Another POV for 3D Printing.
This is the third post in a series on vintage learning.
A few days ago, I met Manuel Herrera at MORENet. He has an amazing maker space where students engage in creative thinking on a daily basis. It’s a bastion of creativity and wonder and his passion for it is contagious.
However, as we talked about prototyping and design thinking, he mentioned something surprising.
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If there is any organization on the planet that has had a closer view of the coming demise of Moore’s Law, it is the Institute of Electrical and Electronics Engineers (IEEE). Since its inception in the 1960s, the wide range of industry professionals have been able to trace a steady trajectory for semiconductors, but given the limitations ahead, it is time to look to a new path—or several forks, to be more accurate.
This realization about the state of computing for the next decade and beyond has spurred action from a subgroup, led by Georgia Tech professor Tom Conte and superconducting electronics researcher, Elie Track called “Rebooting Computing,” which produces reports based on invite-only deep dives on a wide range of post-Moore’s Law technologies, many of which were cited here this week via Europe’s effort to pinpoint future post-exascale architectures. The Rebooting Computing effort is opening its doors next week for a wider-reaching, open forum in San Diego to bring together new ideas in novel architectures and modes of computing as well as on the applications and algorithm development fronts.
According to co-chair of the Rebooting Computing effort, Elie Track, a former Yale physicist who has turned his superconducting circuits work toward high efficiency solar cells in his role at startup Nvizix, Moore’s Law is unquestionably dead. “There is no known technology that can keep packing more density and features into a given space and further, the real issue is power dissipation. We just cannot keep reducing things further; a fresh perspective is needed.” The problem with gaining that view, however, is that for now it means taking a broad, sweeping look across many emerging areas; from quantum and neuromorphic devices, approximate computing, and a wide range of other technologies. “It might seem frustrating that this is general, but there is no clear way forward yet. What we all agree on is that we need exponential growth in computing engines.”
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Cyber War Between CIA and Russia
Posted in futurism
Welcome to the new battlefield.
After Russian hackers breached Clinton’s emails, Obama administration is now threatening a cyber war with Russia.
According to an exclusive NBC report,
“The Obama administration “is contemplating an unprecedented cyber covert action” against Russia, in “retaliation for alleged” interference in the American presidential election, and has asked the CIA to draft plans for a “wide-ranging “clandestine” cyber operation designed to harass and “embarrass” the Kremlin leadership.”
Cannot wait to get mine.
This Video is an end times update, showing the latest end times events that occurred on August 26–29 2016. Child Soldiers, Earthquakes, Hurricanes, Flooding, Outbreaks, Demon Attacks and Gay Propaganda in the news. Events are happening on a daily basis that prove we are in the End Times.
Time Is Running out, repent before its too late!
Google Creates New, Smarter AI
Posted in computing, robotics/AI
My guess is there is some QC help in this picture.
Artificial neural networks — systems patterned after the arrangement and operation of neurons in the human brain — excel at tasks that require pattern recognition, but are woefully limited when it comes to carrying out instructions that require basic logic and reasoning. This is a problem for scientists working toward the creation of Artificial Intelligence (AI) systems capable of performing complex tasks with minimal human supervision.
In a step toward overcoming this hurdle, researchers at Google’s DeepMind — the company that developed the Go-playing computer program AlphaGo — announced earlier this week the creation of a neural network that can not only learn, but can also use data stored in its memory to “logically reason” and make inferences to answer questions.
Could this finally help suppress and maybe even eliminate MS, Dystonia, Parkinson and other central nervous system disfunctions?
Last year, a team of Harvard University researchers revealed that they created a wire mesh doctors can inject into the brain to help treat Parkinson’s and other neurological diseases. They already successfully tested it on live mice, but now that technology is ready for the next stage: human testing. The mesh made of gold and polymers is so thin, it can coil inside a syringe’s needle and doesn’t need extensive surgery to insert. Once it’s inside your head, it merges with your brain, since the mesh has spaces where neurons can pass through.
A part of it needs to stick out through a small hole in your skull so it can be connected a computer. That connection is necessary to be able to monitor your brain activity and to deliver targeted electric jolts that can prevent neurons from dying off. By preventing the death of neurons, which triggers spasms and tremors, the device can be used to combat Parkinson’s and similar diseases. Eventually, the wire mesh could come with an implantable power supply and controls, eliminating the need to be linked to a computer.
The team believes their creation also has a future in mental health, since it can deliver a more targeted treatment for conditions like depression and schizophrenia than medications can. They’ll definitely find out more once human trials begin, and it sounds like it could take place in the near future. According to MIT’s Technology Review, the researchers have begun working with doctors at Massachusetts General Hospital and will soon perform experiments on patients with epilepsy.