Jun 21

Via Samuel Smith. Biological and computer convergence is a trend to watch, definitely.

Via Samuel Smith. Biological and computer convergence is a trend to watch, definitely.

Originally shared by Corina Marinescu

Researchers create organic nanowire synaptic transistors that emulate the working principles of biological synapses

A team of researchers with the Pohang University of Science and Technology in Korea has created organic nanowire synaptic transistors that emulate the working principles of biological synapses. As they describe in their paper published in the journal Science Advances, the artificial synapses they have created use much smaller amounts of power than other devices developed thus far and rival that of their biological counterparts.  

       

Scientists are taking multiple paths towards building next generation computers—some are fixated on finding a material to replace silicon, others are working towards building a quantum machine, while still others are busy trying to build something much more like the human mind. A hybrid system of sorts that has organic artificial parts meant to mimic those found in the brain. In this new effort, the team in Korea has reached a new milestone in creating an artificial synapse—one that has very nearly the same power requirements as those inside our skulls.

Up till now, artificial synapses have consumed far more power than human synapses, which researchers have calculated is on the order of 10 femtojoules each time a single one fires. The new synapse created by the team requires just 1.23 femtojoules per event—far lower than anything achieved thus far, and on par with their natural rival. Though it might seem the artificial creations are using less power, they do not perform the same functions just yet, so natural biology is still ahead. Plus there is the issue of transferring information from one neuron to another. The “wires” used by the human body are still much thinner than the metal kind still being used by scientists—still, researchers are gaining.

Source and further reading:

http://techxplore.com/news/2016-06-nanowire-synaptic-transistors-emulate-principles.html

Paper:

http://advances.sciencemag.org/content/2/6/e1501326

Image: Schematic of biological neuronal network and an ONW ST that emulates a biological synapse.

Credit: Science Advances (2016)

#nanotechnology   #artificialEPSC   #research  

Nov 21

Robotics and AI continue to progress.

Robotics and AI continue to progress.

Originally shared by Larry Panozzo

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Exciting times in quantum computing, robotics, and artificial intelligence! Check it all out in the links below!

Quantum Computing in Silicon

http://newsroom.unsw.edu.au/news/science-tech/quantum-computer-coding-silicon-now-possible

Valkyrie Robot

http://phys.org/news/2015-11-nasa-mit-humanoid-robot-software.html

Watson Learns to Chat

http://phys.org/news/2015-11-team-watson-ai-chat-creativity.html

Robotic Salamander

http://www.reuters.com/article/2015/11/12/us-science-robot-salamander-idUSKCN0T11F620151112

Reading Microexpressions

http://m.techxplore.com/news/2015-11-beware-poker-automatic-micro-expressions.html

Nanotechnology-aided Artificial Kidney

http://www.theengineer.co.uk/more-sectors/medical/news/nanotechnology-could-help-artificial-kidney-filter-blood/1021397.article

Multilingual Megaphone

http://gizmodo.com/magical-megaphone-instantly-translates-into-three-diffe-1743245079

Microsoft Quantum Computing Simulator

http://fortune.com/2015/11/13/microsoft-quantum-computing-simulator/

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#tech #technology

#robotics #quantumcomputing #nanotechnology #IBM #MIT

futurism.com

Oct 11

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Originally shared by Larry Panozzo

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The singularity is near here! As usual, here are a few of the last week’s best articles from around the web illustrating humanity’s progress toward the singularity. Enjoy 🙂

ROBOTICS: http://www.computerworld.com/article/2989830/it-careers/machines-are-replacing-writers-gartner-says.html

ARTIFICIAL INTELLIGENCE: http://techcrunch.com/2015/10/08/the-next-10-years-of-automation-and-what-it-might-mean-for-the-job-market/

NANOTECHNOLOGY: http://motherboard.vice.com/read/how-humans-could-become-our-own-walking-hard-drives

MEDICINE: http://spectrum.ieee.org/tech-talk/biomedical/bionics/darpa-wants-to-jolt-the-nervous-system-with-electricity-lasers-sound-waves-and-magnets

3D PRINTING: http://www.fastcompany.com/3051175/tech-forecast/what-3-d-printing-cant-do

GENETICS: http://phys.org/news/2015-10-gene-spurs-debate-ethics.html

AUTOMATION: http://modernfarmer.com/2015/10/worlds-first-robot-farm/

INNOVATION: http://techcrunch.com/2015/10/06/the-state-of-agtech-then-and-now/#.5e8nhj:iBSe

FOOD: http://www.popsci.com/shrimp-farm-indiana-future-seafood-production

Like my posts? Add me for This Week in Tech, This Week in Science, This Week in The Singularity, and lots more each week. Or just follow my Collection The Singularity !

#singularity #robotics #ai #nanotechnology #medicine #3Dprinting #genetics #technology

We’re at a pivotal moment in history. Billions of years of biological evolution has culminated to an intelligent species of hominids that in their sudden industrial-digital revolution create machines that can take them places they can’t even imagine. And to think that they don’t even pay attention to the transformation as neural networks make their first major appearances, as AI enters each of the main fields of science, and breakthroughs in computing threaten to leave even Moore’s Law in the dust. So do as I do and spread the word!

Wonder why I say the singularity is here? No it hasn’t literally begun, but the process directly leading to it is already underway. When I saw this little chart here http://28oa9i1t08037ue3m1l0i861.wpengine.netdna-cdn.com/wp-content/uploads/2015/01/Edge1.png I realized it was fair to say we’ve arrived, and it’s about to begin.

Whether or not this is your first time hearing of the singularity, check out this post by Tim Urban http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html

And read about what it actually is here http://en.wikipedia.org/wiki/Technological_singularity