Want to watch this again later? Report Need to report the video? Report Need to report the video? Need to report the video? This feature is not available right now.

Further discussion of CFAR's focus on AI safety, and the good things folks wanted from Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

K Means Cluster will be our introduction to Unsupervised Machine Learning. What is Unsupervised Machine Learning exactly? Well, the simplest explanation I can offer is that unlike supervised where our data set contains a result, unsupervised does not. Think of a simple regression where I have the square footage and selling prices (result) of 100 houses. Taking that data, I can easily create a prediction model that will predict the selling price of a house based off of square footage. Now, take a data set containing 100 houses with the following data: square footage, house style, garage/no garage, but no selling price.

I remember meeting Gerd Leonhard [Futurist, Author and a raft of other titles] for the first time in a particularly crowded Benugo in Covent Garden. The meeting came after several near misses and during one of his gigs in London and we decided just to wing it. The fries were unmemorable but the conversation probably set me on the path I find myself travelling today. I have quizzed him on his latest book "Technology Vs. Humanity" [Amazon] in which he poses some interesting questions about the future of the human race and technology but essentially asks; "Are you on team human, or not...? We are at a pivot point in human history [and you need to choose]."

Stock Circles Inc. (Stock Circles) provides a Service (the Service) that uses Artificial Intelligence concepts to screen and monitor stocks on an ongoing basis. All registered users receive the same signal. Its stock screening Service is impersonal and not tailored to any specific individual's needs. Stock Circles does not promote the stocks featured in its Service, nor does it receives any compensation from Companies whose stocks appear in the Service and it has no financial interest in the outcome of any stock trades referenced in its Service. Stock Circles Inc. is not an investment advisory firm.

In this AI Podcast, Bryan Catanzaro from Nvidia describes how machines with Deep Learning capabilities are now better at recognizing objects in images than humans. Catanzaro has been in AI since the beginning. Or, as Michael says, as "about as long as it has really worked." It's a journey that's taken him from UC Berkeley, where he earned his Ph.D., to NVIDIA, to Baidu -- where he worked on a team that's made a number of deep learning breakthroughs -- and back to NVIDIA. Along the way, he's seen deep learning make incredible advances.

It's that time of year again, when organizations do a little soul searching on all that went right and wrong with their customer engagement strategies over the last 12 months. It's also a time to place your bets: which tech trends will help you keep customers coming back for more in 2017? How will technology advances like artificial intelligence (AI), robotic automation and chatbots help build long-term customer relationships that drive company growth? And what are the warning signs you need to recognize to know when it's time to change course? I recently shook up my CRM Magic 8-Ball and came away with five predictions we should expect to see come to fruition in the New Year. Let's face it, businesses are still struggling to deliver truly omnichannel customer experiences (CX).

We have seen great strides made in artificial intelligence (AI). As sci-fi readers and film buffs know, many of these ideas that have been foreshadowed -- and that seem far-fetched -- in fiction are beginning to seem possible. Whether we are considering the benevolent Commander Data in Star Trek: The Next Generation or fearing the terrifying Terminator, we are entering an era where AI as is rapidly entering the public discourse. A number of technologies are going to make the AI that we see in film possible. In addition to supercomputing and cloud computing, technology such as robotics, computer vision, machine learning, nanotechnology, and computational power in small spaces will directly affect the way that AI develops in real life.

As Vatican lights Christmas tree, Pope reflects on Nativity scene'A gravely critical moment': Catholic scholars call on Bishops to support the four Cardinals Listen to God for guidance to build a better world Pope's prayer for the Immaculate in Piazza di Spagna Be like Mary – say yes to God, but not halfway, Pope Francis says'A gravely critical moment': Catholic scholars call on Bishops to support the four Cardinals ROME: Artificial intelligence is "an extremely important goal that has not been achieved yet," said Stanislas Dehaene, a professor of cognitive neuroscience at the College de France, adding that "we don't want to create a system full of machines that don't share our intuitions of what should be a better world." The Vatican hosted a high-level discussion in the world of science, gathering experts to discuss the progress, benefits and limits of advances in artificial intelligence. A new conference at the Vatican drew experts in various fields of science and technology for a two-day dialogue on the "Power and Limits of Artificial Intelligence," hosted by the Pontifical Academy for Sciences. Among the scheduled speakers were several prestigious scientists, including Stephen Hawkins, a prominent British professor at the University of Cambridge and a self-proclaimed atheist, as well as a number of major tech heads such as Demis Hassabis, CEO of Google DeepMind, and Yann LeCun of Facebook. The event, which ran from Nov. 30-Dec.

I always liked to do something with my hands, and once in grades 4-5, I decided to build a robot. It was made of plywood, and almost my height. The robot was equipped with a vibration motor (brushes for clothes as his feet plus eccentric motors), so that he could move. His eyes were light bulbs with a conical reflector made from a tin can. He raised his hand when you came closer to him, thanks to a photo diode reacting to changes in lighting which was built into his chest.