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.

Finish strong and make everyone happy on Christmas with these 10 Amazon deals. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA TODAY's newsroom and any business incentives. Christmas is three days away, but that means you can still take advantage of free two-day shipping for Amazon Prime members to get the last of your holiday shopping done and have everything you need by Christmas Eve. There are even some great deals still going strong to help you make the most of your remaining Christmas present budget, so long as you have Amazon Prime (or want to sign up for the free 30-day trial).

The line between man and machine looks set to become increasingly blurred if one robot's quest to understand love is anything to go by. Bina48 is reportedly the first android to pass a college level course and her chosen subject was the philosophy of love. She participated in class discussions via Skype, before attending a final session in person. The line between man and machine looks set to become increasingly blurred if one robot's quest to understand love is anything to go by. Bina48 is the creation of American robotics expert David Hanson, who believes that artificial lifeforms can foster better connections with people if they take on a human form.