Personal Assistant Systems
Mark Zuckerberg builds an artificial intelligence assistant to run his house -- and entertain his toddler
Mark Zuckerberg has a new housemate: Jarvis, an artificial intelligence assistant he created this year that can control appliances, play music, recognize faces and, perhaps most impressively, entertain his toddler. The Facebook founder spent 100 hours putting together the virtual assistant -- named after the artificial intelligence system in "Iron Man" -- which understands spoken commands as well as text messages, he wrote in a 3,000-word Facebook post Monday. The virtual assistant texts Zuckerberg images of visitors who stop by during the day and opens the front door for those it recognizes. It can also tell when Zuckerberg's 1-year-old daughter, Max, wakes up "so it can start playing music or a Mandarin lesson," he wrote. In a tongue-in-cheek video he posted Tuesday on Facebook, Zuckerberg offers an example of Jarvis at work: "Max woke up a few minutes ago. I'm entertaining her," the virtual assistant (voiced by Morgan Freeman) tells Zuckerberg, before turning his attention to the toddler.
Watch Mark Zuckerberg show off his home AI: Jarvis can recognize friends, control lights, doors, windows and music - and is voiced by Morgan Freeman
Building the AI'butler' is Zuckerberg's personal challenge for 2016 The 31-year-old said: 'You can think of it kind of like J.A.R.V.I.S in Iron Man' His plans include teaching the assistant to let friends into his home by looking at their faces when they ring the doorbell, for example Building the AI'butler' is Zuckerberg's personal challenge for 2016 The 31-year-old said: 'You can think of it kind of like J.A.R.V.I.S in Iron Man' The video shows Zuckerberg using the Jarvis AI throughout the day for everything from getting dressed to making toast. Watch as Nasa shake tests the Orion capsule that could take... Airlines add'fire containment bags' for overheating phones... Google and Facebook to install giant 8,000-mile internet... EXCLUSIVE: Royal Navy trials robot spy boats that can scour... Watch as Nasa shake tests the Orion capsule that could take... Airlines add'fire containment bags' for overheating phones... Google and Facebook to install giant 8,000-mile internet... EXCLUSIVE: Royal Navy trials robot spy boats that can scour... The AI is able to do everything from recognise friend's faces at the door to work out who is asking it questions - and Zuckerberg said he's even connected up a 1950s toaster and a t-shirt cannon to it. Zuckerberg also programmed the system to play music. Zuckerberg's daughter, Max is also able to use the AI to play. The project is modelled on the J.A.R.V.I.S. stands for (Just A Rather Very Intelligent System) system used by Tony Stark in the Iron Man films.
Mark Zuckerberg Reveals His Home Built AI Assistant Jarvis In A Hilarious Video - ItsyBitsy Mag
When Mark Zuckerberg's coding and the voice of Mandarin speaking Morgan Freeman combine, you have an AI technology wonder Jarvis that is sure to blow your mind! Mark Zuckerberg just posted an awesome video of his latest wonder in the field of Artificial Intelligence, which looks like a scene from a sci-fi movie! The system is seen to perform a host of tasks unassisted, from opening his blinds as soon as he wakes up and wishing him good morning, to entertaining his little daughter Max while Mark was sound asleep. The system seems to control every electronic gadget in his house, such as his toaster, lighting and the security system. And we were convinced on its intelligence when the system refused to play Zuckerberg's request of a Nickelback song since "they don't have any good songs."
Some suggestions for Mark Zuckerberg's new AI, Jarvis
Today, Facebook CEO Mark Zuckerberg posted a video of him living his totally normal life with his completely normal family and their newest member, an artificial intelligence system that Zuckerberg is calling Jarvis. In the video, Jarvis (voiced by the actor Morgan Freeman) helps Zuckerberg wake up, get dressed with a cannon that shoots him one of his signature grey t-shirts, and eat dry toast. A little strangely, the AI also chats to his baby daughter in Mandarin when no one is watching. At the end of the video, Zuckerberg asks viewers for some suggestions of new features for Jarvis. We had a few, so we figured we'd put them here instead: We at Quartz were impressed with your gumption to build your own AI assistant for your home, especially when Google and Amazon already have such useful products on the market that do the same thing.
Mark Zuckerberg debuts AI assistant voiced by Morgan Freeman
When Mark Zuckerberg wants an AI assistant, he recruits the "Voice of God." The Facebook (FB, Tech30) CEO and cofounder posted a video teasing an artificial intelligence application on Tuesday that he built for his home, voiced by none other than actor Morgan Freeman. In October, Zuckerberg asked his followers for suggestions to be the voice for Jarvis, his AI tool inspired by Iron Man. Freeman was a top pick. Zuckerberg personally called Freeman to ask him to do it.
Zuckerberg's smart home AI is voiced by Morgan Freeman
Zuck's smart home AI can fire him gray T-shirts from a cannon. Yesterday, Facebook CEO Mark Zuckerberg showed off Jarvis, the artificial intelligence system he built to serve as a digital assistant around his house. Now we know what the software sounds like, and it's got the voice of God. Well, the guy who played God in movies. Zuckerberg on Tuesday released a video of Jarvis at work, and the software is voiced by none other than Morgan Freeman.
AI needs to be more emotional - SlashGear
Smart personal assistants are the new weapon of choice of tech giants, but, idyllic as they may sound, they are currently a misnomer. These artificially intelligent assistants might be good at analyzing speech patterns, spoken commands, and connecting to Internet services, but they aren't yet that capable yet when it comes to accurately predicting what we really want, let alone anticipating what we need. But most importantly, these AI lacks a critical element that would make these personal assistants truly relatable, but is also the most difficult human trait to reproduce: emotion. Artificial intelligence has mostly concerned itself with things like machine learning, language processing, and similar "hard" aspects of knowledge formation, and rightly so. These functions and features of human intelligence are more easily quantifiable than emotions.
Forget reading, writing and arithmetic - Rating, ranking and recommending are the three R's for the internet age, researchers say
Algorithms use ratings, rankings and recommendations to present us with items Before items can be ranked, they need a measure by which they can be ordered This is really a rating of each item's quality according to some criterion With ranked lists in hand, websites may turn around and make recommendations This is really a rating of each item's quality according to some criterion This holiday season, when we Google for the most trending gifts, compare different items on Amazon or take a break to watch a holiday movie on Netflix, we are making use of what might be called'the three R's' of the Internet Age: rating, ranking and recommending Apple's new AirPods are tough to recycle: Breakdown reveals... How to win like Andy Murray: Adversity and hardship could be... Does hurting a girlfriend's CAT make you more immoral than... The root of human kindness is NOT in our ancestors:... Apple's new AirPods are tough to recycle: Breakdown reveals... How to win like Andy Murray: Adversity and hardship could be... Does hurting a girlfriend's CAT make you more immoral than... The root of human kindness is NOT in our ancestors:... Websites' algorithms use the'new 3 Rs' to combine, process and synthesize information before presenting it to us. AMAZON'S ALGORITHM DOESN'T ALWAYS GIVE THE BETTER PRICE Before items can be ranked, they need a measure by which they can be ordered This is really a rating of each item's quality according to some criterion With ranked lists in hand, websites may turn around and make recommendations Amazon has mechanisms in place to screen out these sorts of reviews – for example, by requiring a purchase to have been made from a given account before it can submit a review. The prime example of recommendation systems is Netflix's method.
The state of bots: 11 examples of conversational commerce in 2016
Retailers and technology firms are experimenting with chatbots, powered by a combination of machine learning, natural language processing, and live operators, to provide customer service, sales support, and other commerce-related functions. Chris Messina of Uber recently coined the term "conversational commerce" to describe this movement, which he defines as: The net result is that you and I will be talking to brands and companies over Facebook Messenger, WhatsApp, Telegram, Slack, and elsewhere before year's end, and will find it normal. While messaging and voice interfaces are central components, they fit into a larger picture of increasing infusion of technology into our daily lives, which in turn is unlocking new potential for brand-to-consumer interaction. The fact is, technology overall is becoming more deeply woven into our lives, and the entire ecosystem is enjoying tighter cohesion through the increasing availability and sophistication of APIs. Smart companies are finding new and innovative touch points with consumers that are contextual, relevant, highly personal, and, yes, conversational.
The 7 Unmissable Tech Predictions That Will Define 2017
These were all prime fields of growth and innovation in 2016 and we can expect these trends to continue into next year and probably far beyond. In truth 2017 is likely to be the year when many of these technologies hit the mainstream – rather than something only those companies with the largest corporate budgets and most tech-friendly executive teams. A strong growth in the availability of technology delivered "as-a-service" through cloud platforms, as well as hardware improvements in the form of affordable sensor and display technologies, should help to bring into reality the "democratization" of data-driven enterprise which has become fashionable to talk about this year. So here is a run-through of my key predictions for the next year. Organizations wanting to stay ahead of the curve will want to ensure they are exploring all of the opportunities indicated by these trends.