Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by coherence and engagement from both real users and Amazon-selected expert conversationalists. We focus on understanding complex sentences and having in-depth conversations in open domains. In this paper, we introduce some innovative system designs and related validation analysis. Overall, we found that users produce longer sentences to Gunrock, which are directly related to users' engagement (e.g., ratings, number of turns). Additionally, users' backstory queries about Gunrock are positively correlated to user satisfaction. Finally, we found dialog flows that interleave facts and personal opinions and stories lead to better user satisfaction.

AI has been a popular topic for movies and fascinated audiences for over 60 years. Hollywood hasn't always gotten it right -- in fact, most of the time, they've been totally off. What is it about artificial intelligence that entices directors? What are they missing when they create movies about AI? Let's take a look at a few popular movies about AI, why the topic is popular, why some got it wrong, and a few movies that actually got it right. To most people, artificial intelligence creates a question of what is and what isn't human.

CHROs and employees who participate in upskilling programs are learning more about how AI and machine learning can help them in their jobs.

Machine learning is helping marketers to go beyond existing marketing strategies and make precise decisions based on data. The collection, processing, and use of data have become strategically imperative that drives better businesses. This data has allowed machine learning to minimise the gap between strategic models and the actual outcomes of marketing campaigns. According to Forrester's Global State of AI Online survey, the most prominent strategic growth was observed in customer experience and support (57%). This benefit was followed by the company's ability to deliver better products and services.

I have a dataset of 8 million unique members, approximately 800 million records. Of those 8 million members I have a positive sample of about 25000. I would like to not simply downsample although the downsampled RF performs pretty well. The data is on a Hadoop cluster. I only have access to it via a Zeppelin notebook with PySpark.

A picture of British mathematician Alan Turing hangs behind one of his notebooks during an auction preview in 2015. Turing argued that the ultimate test of a computer's intelligence was whether it could communicate with a human in a way indistinguishable from another human mind. Increasingly, AI-generated writing is making researchers think again about what the test really means. Jacob Berkowitz is a writer in Almonte, Ont., the founder of Quantum Writing and a writer-in-virtual-residence at University of Ottawa's Institute for Science, Society and Policy. I remember, clearly, my son's first word.

Mr Dukec, what will a car look like in 15 years' time? Domagoj Dukec: I love science fiction movies. They look at the future and give it a concrete form. That requires real power of imagination. In respect to design we'll be seeing a few fundamental changes that will revolutionize our understanding of what a car is. What do you mean by a revolution in car design?

Max Kalmykov is the VP of Media and Entertainment at DataArt. Broadcasters and movie studios alike are starting to explore the huge potential of modern technologies to bring a new generation of filmed entertainment to our TV sets and cinemas. Artificial intelligence, machine learning, and deep learning are the buzzwords that excite video executives with promises of revolutionary new abilities for video creation and editing. Deep learning, in particular, is the new frontier for the video industry, allowing video professional to do things automatically that would have taken weeks of work in the past, as well as some things that wouldn't have been possible at all. How is deep learning different from other machine learning algorithms?

The destruction of reality just got one step closer with a new Artificial Intelligence development that will help the world sink further into discord, unrest, and good old propaganda: a neural network capable of writing believable fake comments to news articles. DeepCom -- as the new horseman of the AI apocalypse is called -- has recently been made public in a research paper by engineers from Microsoft and Beihang University in China. According to the paper, the scientists believe that "automatic news comment generation is beneficial for real applications." The system is formed by two neural networks: one to analyze the content of the article -- which interprets the headline, lede and body to realize what are the important points. Then, another neural network uses that information to generate the fake comment.