By cutting the number of ads it shows viewers and the overall amount of ad time, NBC is hoping to meet consumer demand for fewer ads. At the same time, the network is betting on digital technology -- something a growing number of traditional TV entities are doing -- to enhance the remaining inventory so it is more relevant and by extending the reach to social media, where many viewers are actively engaged while watching their favorite programs. The higher-quality, more relevant ad inventory will likely come with a premium price tag, as NBC will still need to maintain revenue levels. Marketers will have to decide if they're willing to pay more to be surrounded by fewer commercials from other brands. NBC Universal's new AI system for matching advertisers with programming will help the network create opportunities for marketers to better target specific segments with more contextually relevant spots.

I wrote a NN in C 98. I never really considered myself good enough to apply for a machine learning job and have been focusing on Django and Android professionally, but have secretly wanted to break into machine learning. Seeing this kinda got me excited again tho. What does one typically need to break into a machine learning job? I've compiled and played with Tensor Flow and Caffe too, but haven't really gotten any solid work like experience with them nor applied them to anything useful.

Isaac Asimov's famous Three Laws of Robotics might be seen as early safeguards for our reliance on artificial intelligence, but as Alexa guides our homes and automated cars replace human drivers, are those Three Laws enough? Neil deGrasse Tyson, Frederick P. Rose Director of the Hayden Planetarium, hosts and moderates a lively discussion about how A.I. is opening doors to limitless possibilities, and if we're ready for them. The 2018 Isaac Asimov Memorial Debate took place at the Museum on February, 13, 2018. For a full transcript of this debate, visit: https://www.amnh.org/explore/amnh.tv Listen to a podcast version on our blog: https://www.amnh.org/explore/news-blo... Or search for Science@AMNH on iTunes, Soundcloud, or wherever you get your podcasts.

I don't have a link handy (I've mostly seen these kinds of capchas on small, home-grown websites). It should be trivial to code one up yourself though. Edit: In general, there are a large class of problems that are trivial for humans but would require nearly general AI to be able to solve. Answering the question "What is my username?" is one example. Merely parsing this post to extract the question is challenging, nevermind actually answering it. For a more well-defined set of examples, games of imperfect information (full-ring poker, Starcraft) are still beyond the current state of the art, although I expect starcraft to fall within the next few years.

"It is possible for ASICs over time to be successful in the deep-learning world," Mosesmann said. "However, we are of the opinion that at this stage in a multidecade product cycle it is just too early to'fix' the hardware, given that there is a plethora of deep-learning frameworks (Tensorflow, Caffee, MXNet, …

Orange Bank launched artificial intelligence (AI)-based customer service support for its mobile-first bank, a move the company hailed as a first in the French market. The assistant will use Orange's Djingo, a French language AI service unveiled in April 2017 and set to be rolled out across a range of the …

Design students at CMU are exploring ways to enhance our interactions with new technologies and the power of artificial intelligence.

Despite high expectations for the use of artificial intelligence in imaging, use of advanced computing technologies to assist radiologists is still in the early stages. A recent report from KLAS Research finds that "talk about AI in imaging has been more common than actual adoption."

Published on March 6, 2018.

"This is something that can provide us with huge opportunities within our industry development. "Yes, people will be fearful of it, but we should be learning to embrace that change." The group, modelled on the UK version, will examine the economic and social effects of artificial intelligence.