The healthcare industry is in the middle of a revolution, social media is getting smarter, and the era of drone-wielding super villains is right around the corner. Earlier this week seven of the world's most prominent organizations in the field of futurism published a report predicting the dangers posed by AI. The document is called "The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation." You can read the full version here. The only thing that could make it scarier is if Samuel L. Jackson were holding you at gunpoint and screaming it at you.

Computer Science and Engineering Professor Robin Murphy of Texas A&M University has taken a serious look at the robots of Star Wars fame and judges how realistic they are in a recent Science Robotics Focus piece--in it, she suggests some aspects of the robots are more realistic than others. Murphy focuses on CP30, the gold, humanoid robot with a British accent, his partner, R2D2 and the cute robot BB-8. Notably, only one of the three is able to talk, and has appendages that resemble human arms and legs. She discusses the possibility of developing such robots and how well they might work. She also compares them to a real-life space robot--NASA's Robonaut, a humanoid robot with arms and end effectors, but no legs.

Hello everyone, I'm currently studying some RL approaches from the well-known book(draft) of Sutton & Barto and have some problems in understanding approaches that solve continuing tasks (/non episodic task). Common algorithms like Q-Learning, Sarsa and Monte Carlo Control seem to require at leat one terminal-state to learn an optimal policy. The question that comes in my mind is, whether those algorithms can also be used for a continuing tasks, which?don't have a final state?.

My wife and I were just settling into bed one night when Alexa, the other woman in my life, decided to make herself heard. Without being summoned, the Amazon Echo Dot at my bedside -- one of the half-dozen devices that Alexa inhabits in our house -- lit up its spectral blue ring, as if it had heard its triggering wake word, "Alexa." But instead of offering help with some household chore, the voice assistant began to wail, like a child screaming in a horror-movie dream. "Huh," I said to my wife when it was over. She said something less kind. But here's what's really strange: By the next morning, we had forgotten all about it.

A user asked the renowned author: "Professor Michio Kaku, my question to you is will artificial intelligence eventually render human labor and intelligence obsolete? "If so, in what areas can human excel at that machine learning algorithms and can not?" His chilling response read: "Right now, robots have the intelligence of a bug. "They can barely walk across a room. Simple tasks done by humans – picking up garbage, fixing a toilet, building a house, solving a crime – are way beyond what a robot can do.

What exactly do people mean when they talk about AI in 2018? Where do I start if I want to embrace AI in my business? Get your questions answered in our newest Think:Act magazine on artificial intelligence.

In January 2018, both Microsoft's and Alibaba's deep-learning software did better than humans on reading and comprehension tests, opening the door to artificial intelligence–based customer service, medical diagnoses, and many other applications.

In January 2018, both Microsoft's and Alibaba's deep-learning software did better than humans on reading and comprehension tests, opening the door to artificial intelligence (AI) based customer service, medical inquiries, and many other applications.

Deep learning is a branch of machine learning which is all about learning of different levels of representation and abstraction. If you are working on a deep learning project then you need the smart deep learning platform to execute your code and to work over complex projects.

On Tuesday, a group of artificial intelligence researchers and policymakers from prominent labs and think tanks in both the United States and Britain released a report that described how rapidly evolving and increasingly affordable AI technologies could be used for malicious purposes.