{"id":203084,"date":"2016-03-14T06:44:08","date_gmt":"2016-03-14T10:44:08","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/nvidia-boosts-iq-of-self-driving-cars-with-worlds-first.php"},"modified":"2016-03-14T06:44:08","modified_gmt":"2016-03-14T10:44:08","slug":"nvidia-boosts-iq-of-self-driving-cars-with-worlds-first","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/super-computer\/nvidia-boosts-iq-of-self-driving-cars-with-worlds-first.php","title":{"rendered":"NVIDIA Boosts IQ of Self-Driving Cars With World&#8217;s First &#8230;"},"content":{"rendered":"<p><p>    CESAccelerating the race to autonomous cars,    NVIDIA today launched NVIDIA DRIVE PX 2  the worlds most    powerful engine for in-vehicle artificial intelligence.  <\/p>\n<p>    NVIDIA DRIVE PX 2 allows the automotive industry to use    artificial intelligence to tackle the complexities inherent in    autonomous driving. It utilizes deep learning on NVIDIA's most    advanced GPUs for 360-degree situational awareness around the    car, to determine precisely where the car is and to compute a    safe, comfortable trajectory.  <\/p>\n<p>    \"Drivers deal with an infinitely complex world,\" said Jen-Hsun    Huang, co-founder and CEO, NVIDIA. \"Modern artificial    intelligence and GPU breakthroughs enable us to finally tackle    the daunting challenges of self-driving cars.  <\/p>\n<p>    \"NVIDIA's GPU is central to advances in deep learning and    supercomputing. We are leveraging these to create the brain of    future autonomous vehicles that will be continuously alert, and    eventually achieve superhuman levels of situational awareness.    Autonomous cars will bring increased safety, new convenient    mobility services and even beautiful urban designs -- providing    a powerful force for a better future.\"  <\/p>\n<p>    24 Trillion Deep Learning Operations per    Second    Created to address the needs of NVIDIA's automotive partners    for an open development platform, DRIVE PX 2 provides    unprecedented amounts of processing power for deep learning,    equivalent to that of 150 MacBook Pros.  <\/p>\n<p>    Its two next-generation Tegra processors plus two    next-generation discrete GPUs, based on the Pascal    architecture,deliver up to 24 trillion deep learning    operations per second, which are specialized instructions that    accelerate the math used in deep learning network inference.    That's over 10 times more computational horsepower than the    previous-generation product.  <\/p>\n<p>    DRIVE PX 2's deep learning capabilities enable it to quickly    learn how to address the challenges of everyday driving, such    as unexpected road debris, erratic drivers and construction    zones. Deep learning also addresses numerous problem areas    where traditional computer vision techniques are insufficient    -- such as poor weather conditions like rain, snow and fog, and    difficult lighting conditions like sunrise, sunset and extreme    darkness.  <\/p>\n<p>    For general purpose floating point operations, DRIVE PX 2's    multi-precision GPU architecture is capable of up to 8 trillion    operations per second. That's over four times more than the    previous-generation product. This enables partners to address    the full breadth of autonomous driving algorithms, including    sensor fusion, localization and path planning. It also provides    high-precision compute when needed for layers of deep learning    networks.  <\/p>\n<p>    Deep Learning in Self-Driving Cars    Self-driving cars use a broad spectrum of sensors to understand    their surroundings. DRIVE PX 2 can process the inputs of 12    video cameras, plus lidar, radar and ultrasonic sensors. It    fuses them to accurately detect objects, identify them,    determine where the car is relative to the world around it, and    then calculate its optimal path for safe travel.  <\/p>\n<p>    This complex work is facilitated by NVIDIA DriveWorks, a suite    of software tools, libraries and modules that accelerates    development and testing of autonomous vehicles. DriveWorks    enables sensor calibration, acquisition of surround data,    synchronization, recording and then processing streams of    sensor data through a complex pipeline of algorithms running on    all of the DRIVE PX 2's specialized and general-purpose    processors. Software modules are included for every aspect of    the autonomous driving pipeline, from object detection,    classification and segmentation to map localization and path    planning.  <\/p>\n<p>    End-to-End Solution for Deep Learning    NVIDIA delivers an end-to-end solution -- consisting of NVIDIA    DIGITS and DRIVE PX 2 -- for both training a deep neural    network, as well as deploying the output of that network in a    car.  <\/p>\n<p>    DIGITS is a tool for developing, training and visualizing deep    neural networks that can run on any NVIDIA GPU-based system --    from PCs and supercomputers to Amazon Web Services and the    recently announced Facebook Big Sur Open Rack-compatible    hardware. The trained neural net model runs on NVIDIA DRIVE PX    2 within the car.  <\/p>\n<p>    Strong Market Adoption    Since NVIDIA delivered the first-generation DRIVE PX last    summer, more than 50 automakers, tier 1 suppliers, developers    and research institutions have adopted NVIDIA's AI platform for    autonomous driving development. They are praising its    performance, capabilities and ease of development.  <\/p>\n<p>    \"Using NVIDIA's DIGITS deep learning platform, in less than    four hours we achieved over 96 percent accuracy using Ruhr    University Bochum's traffic sign database. While others    invested years of development to achieve similar levels of    perception with classical computer vision algorithms, we have    been able to do it at the speed of light.\"    -- Matthias Rudolph, director of Architecture Driver Assistance    Systems at Audi  <\/p>\n<p>    \"BMW is exploring the use of deep learning for a wide range of    automotive use cases, from autonomous driving to quality    inspection in manufacturing. The ability to rapidly train deep    neural networks on vast amounts of data is critical. Using an    NVIDIA GPU cluster equipped with NVIDIA DIGITS, we are    achieving excellent results.\"    -- Uwe Higgen, head of BMW Group Technology Office USA  <\/p>\n<p>    \"Due to deep learning, we brought the vehicle's environment    perception a significant step closer to human performance and    exceed the performance of classic computer vision.\"    -- Ralf G. Herrtwich, director of Vehicle Automation at Daimler  <\/p>\n<p>    \"Deep learning on NVIDIA DIGITS has allowed for a 30X    enhancement in training pedestrian detection algorithms, which    are being further tested and developed as we move them onto    NVIDIA DRIVE PX.\"    -- Dragos Maciuca, technical director of Ford Research and    Innovation Center  <\/p>\n<p>    The DRIVE PX 2 development engine will be generally available    in the fourth quarter of 2016. Availability to early access    development partners will be in the second quarter.  <\/p>\n<p>    Keep Current on NVIDIA    Subscribe to the NVIDIA blog, follow us on Facebook, Google+, Twitter, LinkedIn and Instagram, and view NVIDIA videos on    YouTube and images on Flickr.  <\/p>\n<p>      About NVIDIA      Since 1993,NVIDIA(NASDAQ:NVDA) has pioneered the art and science      ofvisual computing. With a singular focus on      this field, the company offers specialized platforms for the      gaming, automotive, data center and professional      visualization markets. Its products, services and software      power amazing new experiences in virtual reality, artificial      intelligence and autonomous cars. More information      athttp:\/\/nvidianews.nvidia.com\/.    <\/p>\n<p>      Certain statements in this press release including, but not      limited to, statements as to: the features, benefits and      performance of NVIDIA DRIVE PX 2 and NVIDIA DriveWorks; the      effects of modern artificial intelligence and GPU      breakthroughs; NVIDIA's GPU being central to advances in deep      learning and supercomputing; the effects of leveraging deep      learning and supercomputing advances; the benefits and impact      of autonomous cars; the abilities of deep learning; the      features of NVIDIA DIGITS; and the availability of the DRIVE      PX 2 development platform are forward-looking statements that      are subject to risks and uncertainties that could cause      results to be materially different than expectations.      Important factors that could cause actual results to differ      materially include: global economic conditions; our reliance      on third parties to manufacture, assemble, package and test      our products; the impact of technological development and      competition; development of new products and technologies or      enhancements to our existing product and technologies; market      acceptance of our products or our partners' products; design,      manufacturing or software defects; changes in consumer      preferences or demands; changes in industry standards and      interfaces; unexpected loss of performance of our products or      technologies when integrated into systems; as well as other      factors detailed from time to time in the reports NVIDIA      files with the Securities and Exchange Commission, or SEC,      including its Form 10-Q for the fiscal period ended October      25, 2015. Copies of reports filed with the SEC are posted on      the company's website and are available from NVIDIA without      charge. These forward-looking statements are not guarantees      of future performance and speak only as of the date hereof,      and, except as required by law, NVIDIA disclaims any      obligation to update these forward-looking statements to      reflect future events or circumstances.    <\/p>\n<p>       2016 NVIDIA Corporation. All rights reserved. NVIDIA, the      NVIDIA logo, Tegra, NVIDIA DIGITS, NVIDIA DRIVE, NVIDIA      DriveWorks and Pascal are trademarks and\/or registered      trademarks of NVIDIA Corporation in the U.S. and other      countries. Other company and product names may be trademarks      of the respective companies with which they are associated.      Features, pricing, availability and specifications are      subject to change without notice.    <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read the original post:<\/p>\n<p><a target=\"_blank\" href=\"http:\/\/nvidianews.nvidia.com\/news\/nvidia-boosts-iq-of-self-driving-cars-with-world-s-first-in-car-artificial-intelligence-supercomputer\" title=\"NVIDIA Boosts IQ of Self-Driving Cars With World's First ...\">NVIDIA Boosts IQ of Self-Driving Cars With World's First ...<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> CESAccelerating the race to autonomous cars, NVIDIA today launched NVIDIA DRIVE PX 2 the worlds most powerful engine for in-vehicle artificial intelligence. NVIDIA DRIVE PX 2 allows the automotive industry to use artificial intelligence to tackle the complexities inherent in autonomous driving.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/super-computer\/nvidia-boosts-iq-of-self-driving-cars-with-worlds-first.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":[41],"tags":[],"class_list":["post-203084","post","type-post","status-publish","format-standard","hentry","category-super-computer"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/203084"}],"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=203084"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/203084\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=203084"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=203084"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=203084"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}