You're going to need a free video content marketing strategy template. It can be as simple as scanning a barcode, or as complex as PiP. Yep… one of the most advanced pet identification systems out there... PiP is a smartphone app created for pet owners who've lost their cat, dog, fish. Should you misplace your pet, its photo will be analyzed and matched with photos of pets that have been found wandering the streets. Image analysis is used to beat lost tags, outdated microchips, and fading tattoos.

Machine learning is everywhere, but is it actual intelligence? A computer scientist wrestles with the ethical questions demanded by the rise of AI. Published by Farrar, Straus and Giroux October 15th 2019. The idea is that unchecked robots will rise up and kill us all. But such martial bodings overlook a perhaps more threatening model: Aladdin.

OSIRIS-REx is NASA's first mission to an asteroid to retrieve a sample and return it to Earth. 'X' marks the spot as NASA prepares for a historic asteroid mission. NASA has selected the site on asteroid Bennu where its OSIRIS-REx spacecraft will retrieve a sample of space rock. Scientists identified four potential sites before picking a spot dubbed "Nightingale" that is located in Bennu's northern hemisphere. ASTEROID BENNU IS SHOOTING OUT ROCKS – AND NASA ISN'T SURE WHY "After thoroughly evaluating all four candidate sites, we made our final decision based on which site has the greatest amount of fine-grained material and how easily the spacecraft can access that material while keeping the spacecraft safe," said Dante Lauretta, OSIRIS-REx principal investigator at the University of Arizona in Tucson, in a statement.

We all consider ourselves experts on separating fact from fiction. Sharing disinformation on social media is something that happens to other people. Let's be honest, when we're cruising through our feeds, sharing or liking baby pictures and cat videos, we don't always have our critical thinking caps on, especially when confronted by emotional appeals. But how do we stop falling for and spreading bogus information? Disinformation is the deliberate spread of verifiably false or misleading content to gain financially or to deceive the public.

Waymo, Google's self-driving car division, has acquired the Oxford artificial intelligence company Latent Logic for an undisclosed amount, giving Waymo its first presence in the UK. Latent Logic, a spinout company from the University of Oxford, specialises in "imitation learning", teaching machines how to act by showing them examples of humans doing the same actions. It was founded in 2017 by the academics Shimon Whiteson and João Messias. Waymo hopes the company's expertise can be put to use teaching AI drivers how to deal with complex behaviour such as a car cutting off another at a roundabout, a pedestrian emerging from a parked car, or a cyclist skidding in rain. "The team's expertise in reinforcement learning and imitation learning can help further accelerate Waymo's progress in areas from simulation to behaviour prediction and planning," the company said in a statement.

In January, Google announced a cool new feature that turns the Google Assistant into a two-way language interpreter, but it only worked visually on smart displays, which generally aren't used in the real world, when people are traveling. But now, just in time for the holidays, Google is finally making Interpreter Mode available on mobile Android and iOS phones. As always, Google is rolling the feature out and it could take up to a week for it to make it across the network. You start by asking Google to "be my Spanish translator," and then the Assistant takes over. You speak your phrase, and Google translates it, in audio and text and in real time, and the person on the other end can speak into your phone with the answer and keep the two-way conversation going.

Hello Capital Region GDG enthusiasts, Join our community of like-minded developers and explore the latest Google Cloud technologies as a team. Get Cloud Study Jam training from Google and get hands-on experience with Machine Learning, a $55 value, free of charge. After the Study Jam, you'll receive 30-days free access to the entire Qwiklabs catalog, so you can keep developing your skills at home. Complete all of the labs in the session's quest, and you'll earn an additional free 30-days of access to Qwiklabs as well as a badge for your online profile. The labs will run on all of the latest versions of popular browsers.

Technology develops differently in Japan. While US tech giants have been grabbing artificial intelligence headlines, a business AI sector has been quietly maturing in Japan, and it is now making inroads into America. Today we sit down again with Miku Hirano, CEO of Cinnamon, and we talk about how exactly this happened. Interestingly, Cinnamon did not start out as an AI company. In fact, when Miku first came on the show, the company had just launched an innovative video-sharing service. Today, we talk about what lead to the pivot to AI and why even a great idea and a great team is no guarantee of success. We also talk about some of the changing attitudes towards startups and women in Japan, the kinds of business practices AI will never change, and Miku give some practical advice for startups going into foreign markets. It's a great discussion, and I think you will really enjoy it. Welcome to Disrupting Japan, straight talk from Japan's most successful entrepreneurs. Today, we're going to sit down and talk about artificial intelligence with Miku Hirano of Cinnamon. Now, Cinnamon is actually a great example of a successful Japanese startup pivot. When we first sat down with Miku four years ago, she had an innovative micro-video sharing company called Tuya and really, you should go back and listen to that episode. I've put a link on the show notes and it was really a good one.

Even as machine learning and artificial intelligence are drawing substantial attention in health care, overzealousness for these technologies has created an environment in which other critical aspects of the research are often overlooked. There's no question that the increasing availability of large data sources and off-the-shelf machine learning tools offer tremendous resources to researchers. Yet a lack of understanding about the limitations of both the data and the algorithms can lead to erroneous or unsupported conclusions. Given that machine learning in the health domain can have a direct impact on people's lives, broad claims emerging from this kind of research should not be embraced without serious vetting. Whether conducting health care research or reading about it, make sure to consider what you don't see in the data and analyses.