{"id":229112,"date":"2017-07-20T01:34:37","date_gmt":"2017-07-20T05:34:37","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/new-3d-computer-chip-uses-nanotech-to-boost-processing-power-live-science.php"},"modified":"2017-07-20T01:34:37","modified_gmt":"2017-07-20T05:34:37","slug":"new-3d-computer-chip-uses-nanotech-to-boost-processing-power-live-science","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/nanotech\/new-3d-computer-chip-uses-nanotech-to-boost-processing-power-live-science.php","title":{"rendered":"New 3D Computer Chip Uses Nanotech to Boost Processing Power &#8211; Live Science"},"content":{"rendered":"<p><p>  The new type of 3D computer chip layers memory and logic circuits  on top of each other, rather than side by side.<\/p>\n<p>    A new type of 3D computer chip that combines two cutting-edge    nanotechnologies could dramatically increase the speed and    energy efficiency of processors, a new study said.  <\/p>\n<p>    Today's chips separate memory (which stores data) and logic    circuits (which process data), and data is shuttled back and    forth between these two components to carry out operations. But    due to the limited number of connections between     memory and logic circuits, this is becoming a major    bottleneck, particularly because computers are expected to deal    with ever-increasing amounts of data.  <\/p>\n<p>    Previously, this limitation was masked by the effects    of Moore's law, which says that the number of transistors    that can fit on a chip doubles every two years, with an    accompanying increase in performance. But as chip makers hit    fundamental physical limits on how small transistors can get,    this trend has slowed. [10    Technologies That Will Transform Your Life]  <\/p>\n<p>    The new prototype chip, designed by engineers from Stanford    University and the Massachusetts Institute of Technology,    tackles both problems simultaneously by layering memory and    logic circuits on top of each other, rather than side by side.  <\/p>\n<p>    Not only does this make efficient use of space, but it also    dramatically increases the surface area for connections between    the components, the researchers said. A conventional logic    circuit would have a limited number of pins on each edge    through which to transfer data; by contrast, the researchers    were not restricted to using edges and were able to densely    pack vertical wires running from the logic layer to the memory    layer.  <\/p>\n<p>    \"With separate memory and computing, a chip is almost like two    very populous cities, but there are very few bridges between    them,\" study leader Subhasish Mitra, a professor of     electrical engineering and computer science at Stanford,    told Live Science. \"Now, we've not just brought these two    cities together  we've built many more bridges so traffic can    go much more efficiently between them.\"  <\/p>\n<p>    On top of this, the researchers used logic circuits constructed    from     carbon nanotube transistors, along with an emerging    technology called resistive random-access memory (RRAM), both    of which are much more energy-efficient than silicon    technologies. This is important because the huge energy needed    to run data centers constitutes another major challenge facing    technology companies.  <\/p>\n<p>    \"To get the next 1,000-times improvement in computing    performance in terms of energy efficiency, which is making    things run at very low energy and at the same time making    things run really fast, this is the architecture you need,\"    Mitra said.  <\/p>\n<p>    While both of these new nanotechnologies have inherent    advantages over conventional, silicon-based technology, they    are also integral to the     new chip's 3D architecture, the researchers said.  <\/p>\n<p>    The reason today's chips are 2D is because fabricating silicon    transistors onto a chip requires temperatures of more than    1,800 degrees Fahrenheit (1,000 degrees Celsius), which makes    it impossible to layer silicon circuits on top of each other    without damaging the bottom layer, the researchers said.  <\/p>\n<p>    But both carbon nanotube transistors and RRAM are fabricated at    cooler than 392 degrees F (200 degrees C), so they can easily    be layered on top of silicon without damaging the underlying    circuitry. This also makes the researchers' approach compatible    with current chip-making technology, they said. [Super-Intelligent    Machines: 7 Robotic Futures]  <\/p>\n<p>    Stacking many layers on top of each other could potentially    lead to overheating, Mitra said, because top layers will be far    from the heat sinks at the base of the chip. But, he added,    that problem should be relatively simple to engineer around,    and the increased energy-efficiency of the new technology means    less heat is generated in the first place.  <\/p>\n<p>    To demonstrate the benefits of its design, the team built a    prototype gas detector by adding another layer of carbon    nanotube-based sensors on top of the chip. The vertical    integration meant that each of these sensors was directly    connected to an RRAM cell, dramatically increasing the rate at    which data could be processed.  <\/p>\n<p>    This data was then transferred to the logic layer, which was    implementing a     machine learning algorithm that enabled it to distinguish    among the vapors of lemon juice, vodka and beer.  <\/p>\n<p>    This was just a demonstration, though, Mitra said, and the chip    is highly versatile and particularly well-suited to the kind of    data-heavy, deep neural network approaches that underpin    current artificial intelligence technology.  <\/p>\n<p>    Jan Rabaey, a professor of electrical engineering and computer    science at the University of California at Berkeley, who was    not involved in the research, said he agrees.  <\/p>\n<p>    \"These structures may be particularly suited for alternative    learning-based computational paradigms such as brain-inspired    systems and deep neural nets, and the approach presented by the    authors is definitely a great first step in that direction,\" he        told MIT News.  <\/p>\n<p>    The new study was published online July 5 in the     journal Nature.  <\/p>\n<p>    Original article on     Live Science.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Continue reading here:<\/p>\n<p><a target=\"_blank\" rel=\"nofollow\" href=\"https:\/\/www.livescience.com\/59855-3d-computer-chip-boosts-processing-power.html\" title=\"New 3D Computer Chip Uses Nanotech to Boost Processing Power - Live Science\">New 3D Computer Chip Uses Nanotech to Boost Processing Power - Live Science<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> The new type of 3D computer chip layers memory and logic circuits on top of each other, rather than side by side. A new type of 3D computer chip that combines two cutting-edge nanotechnologies could dramatically increase the speed and energy efficiency of processors, a new study said. Today's chips separate memory (which stores data) and logic circuits (which process data), and data is shuttled back and forth between these two components to carry out operations.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/nanotech\/new-3d-computer-chip-uses-nanotech-to-boost-processing-power-live-science.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[431610],"tags":[],"class_list":["post-229112","post","type-post","status-publish","format-standard","hentry","category-nanotech"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/229112"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=229112"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/229112\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=229112"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=229112"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=229112"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}