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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 ...



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 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 and stock trading




a study undertaken by researchers at the school of business and economics at friedrich-alexander-universität erlangen-nürnberg (fau) has shown that computer programs that algorithms based on artificial intelligence are able to make profitable investment decisions. when applied to the s&p 500 const...



making sense of machine learning




as matt asay observed last week, ai appears to be reaching “peak ludicrous mode,” with almost every software vendor laying claim to today’s most hyped technology. in fact, gartner’s latest hype cycle for emerging technologies places machine learning at the peak of inflated expectations.hang ...



making sense of machine learning




as matt asay observed last week, ai appears to be reaching “peak ludicrous mode,” with almost every software vendor laying claim to today’s most hyped technology. in fact, gartner’s latest hype cycle for emerging technologies places machine learning at the peak of inflated expectations.hang ...



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...



physicists extend quantum machine learning to infinite dimensions




the proposed optical set-up that could be used to implement the new quantum machine learning algorithm over infinite dimensions. credit: lau et al. ©2017 american physical societyphysicists have developed a quantum machine learning algorithm that can handle infinite dimensions—that is, it works w...



deep learning and stock trading




a study undertaken by researchers at the school of business and economics at friedrich-alexander-universität erlangen-nürnberg (fau) has shown that computer programs that algorithms based on artificial intelligence are able to make profitable investment decisions. when applied to the s&p 500 const...



deep learning and stock trading




a study undertaken by researchers at the school of business and economics at friedrich-alexander-universität erlangen-nürnberg (fau) has shown that computer programs that algorithms based on artificial intelligence are able to make profitable investment decisions. when applied to the s&p 500 const...



facebook's new machine learning framework emphasizes efficiency over accuracy




in machine learning parlance, clustering or similarity search looks for affinities in sets of data that normally don't make such a job easy. if you wanted to compare 100 million images against each other and find the ones that looked most like each other, that's a clustering job. the hard part is sc...



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...



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...



google is reportedly buying data science community kaggle




enlargekaggleshare this storygoogle's latest acquisition appears to involve data scientists and machine learning contests. according to techcrunch sources, the company is reportedly buying kaggle, a group that hosts both data science and machine-learning competitions, as well as a job board with ...



act scientist teaches computers to police the border




a canberra-based scientist is taking the guesswork out of border security by teaching computers to spot suspicious activity. dr aditya menon is one of the lead scientists on the initiative which pairs csiro's data61 research team with global it company unisys.  a canberra-based data scientist i...



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 ...



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 ...



digital learning is here—kind of




​one of the most important and fastest changing functions of hr today is employee learning. digital technologies, mobile apps, video and the rapid pace of work have reinvented what corporate learning means. let me try to briefly explain. © bersin by deloitte, deloitte consulting llp, 2017.as the ...



how ai, machine learning will impact tech recruiting




artificial intelligence and machine learning already make a huge impact on the way we watch movies and television, shop, and travel, but how will these new technology advancements affect you as a sourcing or recruiting professional?it all comes down to being able to quickly analyze huge amounts of d...



samsung unveils bixby, its siri competitor




"instead of humans learning how the machine interacts with the world (a reflection of the abilities of designers), it is the machine that needs to learn and adapt to us," samsung senior vice president injong rhee wrote in a blog post. "the interface must be natural and intuitive enough to flatten th...



sequential programming considered harmful? - ieee spectrum




photo: istockphoto over 350 computer science students take russ miller’s discrete structures course every fall semester. about 90 percent are freshmen. by week five, they are breaking problems into small chunks and learning ways to solve each chunk at the same time—in parallel.today, multicore p...



sequential programming considered harmful? - ieee spectrum




photo: istockphotoover 350 computer science students take russ miller’s discrete structures course every fall semester. about 90 percent are freshmen. by week five, they are breaking problems into small chunks and learning ways to solve each chunk at the same time—in parallel.today, multicore pr...



as us suicide rate surges, facebook using ai to detect those at risk, offering h




facebook has begun using artificial intelligence to identify those who may be at risk of committing suicide, reports the bbc.the social network has developed algorithms that spot warning signs in users’ posts and the comments their friends leave in response. after confirmation by facebook’s hum...