The visual cortex takes up 30% of the human brain, so people naturally process images 60,000 times faster than text. As a result, we're all guilty of judging books by their covers, which is a crucial element of Netflix's engagement strategy. Netflix has a seemingly unlimited supply of content, which can be a double-edged sword. That volume of content produces choice paralysis, where people have so many options that they can't decide what to watch. "We don't have a product. We have hundreds of millions of products because we deliver personalized experiences," says Tony Jebara, Director of Machine Learning.

Many historians believe that science fiction is as old as civilization itself. Believe it or not, even in the ancient times such work that resembles science fiction did exist. These are considered precursors of science fiction because they exhibit the fantastical elements although they lack the characteristics that really make up of science and technology. The fantasy aspects that are likened to modern science fiction include mechanical birds (which are equivalent to aircraft), the idea of time travel, human-like machines, the concept and quest for eternal life, as well as others. Because these were written in a time where technology and its advancements were still in their infancy, many of these aspects had not been made possible yet.

DeepManta, a flexible algorithm, can demonstrate visual object recognition for smart cities, such as identifying vehicles, their type and position and counting them. Different objects, such as miniature cars, move into a camera's field of view, where the AI will selectively recognize them. When a car is recognized, the algorithm generates a visual annotation, labeling the car with the logo of the brand and model information, and encompassing it with 2D and 3D boxes to locate it spatially in the video in real time. In addition to automotive applications, the algorithm's automated perception capacity opens up new services with significant social and business impacts. "DeepManta delivers one of the promises of AI: providing assistance to users by automatizing and parallelizing tasks that normally would require their full attention," says List's Stéphane David,"it excels at each individual task, but requires much less overall memory and processing power than parallel architectures that use one algorithm per task."

My nonlinear gaussian kernel SVM with 2 features and 100 training examples trains in under a second but when creating a decision boundary, it takes around 53 seconds on 40,000 test examples for a decision boundary. Is that a reasonable amount of time or should I look for ways to vectorize? Here is the code if anyone wants to run it themselves.

I often feel Artificial Intelligence (AI) is still directionless although we do see a lot of Work In Progress (WIP). AI in transportation is not just about autonomous aircrafts, cars, trucks and trains. There is much more that can be done with AI.

As a long-time Emacs user, I found PyCharm to be surprisingly good. The Emacs keybindings for it are actually quite good (far better than, say, Visual Studio or Xcode), and the remote support (including debugging) is pretty good as well. Git support is pretty good. I am unaware of any AI-specific plugins for any of the major editors.

UBTECH has launched one of the most adorable home robots to date: the Star Wars First Order Stormtrooper robot. The robot works with a companion app, which includes a pair of augmented reality modes for fighting against the Resistance. In addition to that, the First Order Stormtrooper bot boasts facial recognition capabilities, plus support for many voice commands, a sentry patrolling feature, and more. The First Order Stormtrooper Robot features both first and third-person augmented reality modes in its app; with them, owners can launch attacks against the Resistance, issue verbal commands, and more as part of an interactive game. The robot itself has voice command support, enabling users to talk directly to it in a way similar to using an Echo device.

Today we're announcing new, optional tools to help people better manage their identity on Facebook using face recognition. Powered by the same technology we've used to suggest friends you may want to tag in photos or videos, these new features help you find photos that you're not tagged in and help you detect when others might be attempting to use your image as their profile picture. We're also introducing a way for people who are visually impaired to know more about who is in the photos they encounter on Facebook. People gave us feedback that they would find it easier to manage face recognition through a simple setting, so we're pairing these tools with a single "on/off" control. If your tag suggestions setting is currently set to "none," then your default face recognition setting will be set to "off" and will remain that way until you decide to change it.

"AI is like the Wild West right now," Tim Leland, Qualcomm's head of graphics, told me earlier this month when the company unveiled its latest premium mobile chipset. The Snapdragon 845 was designed to handle AI computing tasks better. No company wants to be left behind, and whether it's by optimizing their hardware for AI processing or using machine learning to speed up tasks, every major brand has invested heavily in artificial intelligence. But even though AI permeated all aspects of our lives in 2017, the revolution is only just beginning. This might be a helpful time to clarify that AI is often a catch-all term for an assortment of different technologies.

Finding trusted financial news, data and analytics on Thomson Reuters Eikon became even easier during 2017, thanks to a number of award-winning enhancements using AI and machine learning. For financial professionals seeking to profit from trading and investment opportunities, Thomson Reuters Eikon delivers a powerful combination of information, analytics and exclusive news on financial markets. At the core of the financial news offering is Reuters, the world's largest international multimedia news provider and known for independence and trust. Reuters goes beyond breaking news, offering unbiased insight and depth to drive better financial decisions. This powerful news-gathering operation includes more than 2,600 full-time journalists in 200 bureaus.