It may be Tesla's Elon Musk who most often invites comparison to Marvel's superhero Iron Man – the alter ego of billionaire inventor Tony Stark – but it is Mark Zuckerberg who might be the first to bring Stark's technology to life. Memorably, the Facebook CEO sets himself annual goals such as learning Mandarin in 2010, eating only meat from animals he killed himself in 2011, or reading two books a month in 2015. In January, the Facebook founder said that his 2016 challenge would be to build an artificial intelligence-based personal assistant for his home. In his Facebook post announcing his aim, Zuckerberg said that "You can think of it kind of like Jarvis in Iron Man." In a Facebook conversation on Thursday, Zuckerberg invited suggestions for who should voice his real-life Jarvis (which, in the Iron Man and Avengers movies, stands for Just A Rather Very Intelligent System). Suggestions included actors Morgan Freeman, Benedict Cumberbatch and Paul Bettany – who voices Jarvis in the movies – as well as astrophysicist Neil deGrasse Tyson.

As an experienced voice actor in video games, Sunil Malhotra has exerted his vocal cords to the breaking point while performing blood-curdling screams and monster grunts for numerous titles including the popular "Diablo" and "X-Men" series. "I've lost my voice for weeks at a time. I had to see a speech therapist to get my voice back," the Los Angeles-based actor said. "If I don't have my voice, I don't function as an actor." Malhotra, 41, was one of more than 300 protesters who gathered Thursday at Warner Bros. in Burbank as part of the ongoing SAG-AFTRA strike against several major video game companies.

The meetup will be hosted by AAA-data / Comité des Constructeurs Français d'Automobiles and the networking event is sponsored by Zen.ly . A big thank you to them. The program for this third regular meetup of the season (and the fifth total for season 4) is a little extraordinary this time and will feature the following: Dominique Gillot, Sénatrice, ancienne ministre et Rapporteure avec le député Claude de Ganay d'un rapport sur l'Intelligence Artificielle pour le Parlement. Julien Simon (Amazon), Machine Learning & Deep Learning with Amazon Web Services Gautier Marti (Hellebore Capital), A closer look at correlations You may have already read many times that the job of a Data Scientist is to skim through a huge amount of data searching for correlations between some variables of interest. And also, that one of his worst enemies (besides correlation doesn't imply causation) is spurious correlation.

The Washington Post plans to cover every major race on Election Day using AI. Using an in-house build data-crunching programme called Heliograf, the Post plans to provide detailed coverage of nearly 500 contests around the U.S. Allowing their team of 60 political reporters to focus their attention on high-profile contests and races. "This will give readers Washington Post-quality coverage at all levels but will also be used to alert reporters to things that they may not see, or draw their attention to a particular race that they didn't expect to be a close one," said Jeremy Gilbert, the Post's director of strategic initiatives. The Post experimented with the software to cover events at the Rio De Janeiro Olympics this summer but will look to expand its use on Election Day. Using templates and pre-written previews, the program will automatically update stories as results come in, said Sam Han, the Post's director of data science.

Will the technology be coming for your job next? The question of whether marketing is more science or art has never seemed more relevant now that highly sophisticated cognitive learning technology is able to assume many of the tasks involved in marketing -- in some cases, even doing them better than a human could. But visions of a completely automated campaign may be premature, according to executives from IBM and other companies at the forefront of AI who weighed in on the technology's impact during a panel discussion at ad:tech New York last week. In good news for creative directors, the experts said cognitive technology has the ability to free up marketers to spend more time tackling bigger picture responsibilities, such as finding the inspiration for the right voice and vision to make an emotional connection with consumers. By laying the groundwork for significantly more sophisticated one-to-one marketing, AI could even create a need to beef up analytics, content and other areas for businesses that are able to gain a competitive edge through customer-centric marketing.

What reactions did people have to the movie trailer for Morgan (which was created entirely -- and for the first time -- by an AI bot, and a pretty famous one at that)? Which is a fair reaction. Computers can now write, read, learn and speak. And for some, this is pretty scary -- people are terrified that bots will snatch their jobs and eventually take over the world and render humans useless (films like I, Robot haven't helped this). Many people naturally hold irrational fears.

Imagine one day walking into a gorgeous structure--like LA's famous Walt Disney Concert Hall--only to discover it was designed by a computer system and constructed by automated robotic arms. Ai Build, a London-based startup, aims to pave the way to 3D printing on large scales. The company is equipping industrial-grade Kuka robotic arms with artificial intelligence and "3D printing guns" to 3D print large structures that focus on maximizing efficiency with labor and materials. Founder and CEO Daghan Cam dreamed up the technology while considering traditional commercial construction and wondering what a more efficient and automated process might look like. In October, the company partnered with engineering consulting firm Arup Engineers to debut the 3D printed "Daedalus Pavilion" at the GPU Technology Conference in Amsterdam.

Marketing in the 2000s was dominated by search engine marketing and optimization (SEM and SEO). The early 2010s saw the rise of Facebook and social media marketing. Most recently, we've seen mobile marketing rise and plateau as users have stopped downloading new apps. Now, we are entering the era of messaging and chatbots. What is a "chatbot," you ask? Chatbots are computer programs that carry out conversations with people using a lightweight messaging app UI, language-based rules, or artificial intelligence.

Machine learning used to take place behind the scenes: Amazon mined your clicks and purchases for recommendations, Google mined your searches for ad placement, and Facebook mined your social network to choose which posts to show you. But now machine learning is on the front pages of newspapers, and the subject of heated debate. Learning algorithms drive cars, translate speech, and win at Jeopardy! What can and can't they do? Are they the beginning of the end of privacy, work, even the human race?

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