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deep learning first: drive.ai's path to autonomous driving




last month, ieee spectrum went out to california to take a ride in one of drive.ai's autonomous cars, and to find out how they're using deep learning to master autonomous driving.it's only been about a year since drive.ai went public, but already, the company has a fleet of four vehicles navigating ...



deep learning sdk from intel: optimized tensorflow




here’s an idea: let’s make computers trainable instead of programmable.  ultimately, that’s what “machine learning” is all about. and “deep learning” is the technique for machine learning that is taking the world by storm.image classification is a cool example of what a program using ...



easier, faster: the next steps for deep learning




if there is one subset of machine learning that spurs the most excitement, that seems most like the intelligence in artificial intelligence, it’s deep learning. deep learning frameworks—aka deep neural networks—power complex pattern-recognition systems that provide everything from automated la...



how drive.ai is mastering autonomous driving with deep learning




among all of the self-driving startups working towards level 4 autonomy (a self-driving system that doesn’t require human intervention in most scenarios), mountain view, calif.-based drive.ai’s scalable deep learning approach and aggressive pace make it unique. drive sees deep learning as the o...



deep sleep maintains the learning efficiency of the brain




for the first time, researchers of the university of zurich and swiss federal institute of technology in zurich have demonstrated the causal context of why deep sleep is important to the learning efficiency of the human brain. they have developed a new, non-invasive method for modulating deep sleep ...



google announces tensorflow lite for improved deep learning models on android




google has announced a new version of tensorflow, the open source software library for machine learning, which is optimised for mobile. called tensorflow lite, the new library enables developers to build enhanced deep learning models to run on android smartphones.the launch is part of a move by goog...



new deep learning techniques analyze athletes' decision-making




sports analytics is routinely used to assign values to such things as shots taken or to compare player performance, but a new automated method based on deep learning techniques - developed by researchers at disney research, california institute of technology and stats, a supplier of sports data - wi...



deep-learning postdoctoral or faculty researcher




department: vermont epscor institution: university of vermont deep-learning postdoctoral or faculty researcher (position id: pda#005) vermont epscor is recruiting a postdoctoral or faculty researcher with expertise in machine learning and complex systems modeling to join our cutting-edge nsf funded ...



nvidia's first volta-powered gpu sits in a $149k supercomputer




the new volta-powered deep-learning machine is a lot like it's predecessor -- staggeringly powerful, surprisingly compact and built specifically to train artificial intelligence -- it's just that the new dgx-1v is a lot more powerful. nvidia ceo and founder jensen huang says the dgx-1v is powerful e...



nvidia gpu cloud bundles frameworks and tools for ai app dev




over the past couple of years, every major cloud vendor added gpu resources as standard issue: amazon, microsoft, google, ibm. in most every case, those gpus come from nvidia, the premier supplier of gpus for high-performance computing and the de facto software standards for it.yesterday, nvidia unv...



the bgrf is helping develop ai to accelerate drug discovery for aging and age-as




image: nvidia gpu technology conference 2017 logo view more credit: nvidia (http://www.gputechconf.com/)monday, may 8th, london, uk - the chief science officer of the biogerontology research foundation (bgrf) will present new research on artificial intelligence for drug discovery at the nvidia gra...



introducing the einstein vision add-on for image recognition




the most innovative apps augment our human senses, intuition, and logic with machine learning. deep learning, modelled after the neural networks of the human brain, continues to grow as one of the most powerful types of machine learning. when applied to images, deep learning enables powerful compute...



introducing the einstein vision add-on for image recognition




the most innovative apps augment our human senses, intuition, and logic with machine learning. deep learning, modelled after the neural networks of the human brain, continues to grow as one of the most powerful types of machine learning. when applied to images, deep learning enables powerful compute...



introducing the einstein vision add-on for image recognition




the most innovative apps augment our human senses, intuition, and logic with machine learning. deep learning, modelled after the neural networks of the human brain, continues to grow as one of the most powerful types of machine learning. when applied to images, deep learning enables powerful compute...



introducing the einstein vision add-on for image recognition




the most innovative apps augment our human senses, intuition, and logic with machine learning. deep learning, modelled after the neural networks of the human brain, continues to grow as one of the most powerful types of machine learning. when applied to images, deep learning enables powerful compute...



adobe, cornell ai transfers one photo’s style to another




there is no doubt that artificial intelligence, machine learning, and neural networks have experienced huge strides in progress, but of their applications have been on things with “hard edges”. those include search results, translation, board games, etc. recently, however, progress is also being...



google machine learning gains kaggle and more




google has already carved out a niche for itself in machine learning with projects like tensorflow and google brain. now, it's adding data science provider kaggle, which runs contests related to machine learning and provides services for data discovery and analysis, to the fold. the company also is...



deep learning helps scientists keep track of cell's inner parts




image: the donnelly centre deep learning study features on the cover of the journal's latest issue. view more credit: oren krausdonnelly centre researchers have developed a deep learning algorithm that can track proteins, to help reveal what makes cells healthy and what goes wrong in disease."we c...



baidu's deep voice can quickly synthesize realistic human speech




google's wavenet can also synthesize realistic human speech, but it's quite computationally demanding and hard to use for real-world applications at this point. baidu says it solved wavenet's problem by using deep-learning techniques to convert text to phenomes, the smallest unit of speech. it then ...



robot uses machine-learning to grab objects on the first try




the robot is connected to a 3d sensor and a deep-learning neural network to which researchers fed images of objects. they included information about the objects' shapes, visual appearances and the physics of how to go about grabbing them. so, when a new object is placed in front of the robot, it jus...



story tips from the department of energy's oak ridge national laboratory, april




image: ornl's chris janke (left) works with stan howell of ebeam technologies usa to prepare material samples for electron beam curing, which instantly cross-links the binding resins in coating material at... view more credit: zhijia du, oak ridge national laboratory/dept. of energycomputing - quan...



postdoctoral fellow / postdoc researcher




department: laboratory of neuro imaging (loni), neuroimaging and informatics institute institution: university of southern california overview: the focus of research is on developing image processing and machine learning algorithms for multivariate analysis of various features used to assess the qua...



deep-learning faculty researcher




department: vermont epscor institution: university of vermont vermont epscor is recruiting a research assistant professor with expertise in machine learning and complex systems modeling to join our nsf-funded research on basin resilience to extreme events (bree). we are in the second year of a large...



deep-learning postdoctoral or faculty researcher




department: vermont epscor institution: university of vermont vermont epscor is recruiting a postdoctoral or faculty researcher with expertise in machine learning and complex systems modeling to join our cutting-edge nsf funded research on basin resilience to extreme events (bree). we are in the sec...



texas hold'em ai bot taps deep learning to demolish humans




a fresh texas hold’em-playing ai terror has emerged barely a month after a supercomputer-powered bot claimed victory over four professional poker players. but instead of relying on a supercomputer’s hardware, the deepstack ai has shown how it too can decisively defeat human poker pros while ...