For the majority of people, artificial intelligence won't be here for at least the next decade, despite all the hype. But the truth is it has already become a necessity for many businesses who work with data and it's been widely in use today. While some of us are still trying to figure out the difference between artificial intelligence and machine learning, AI is fast progressing. This breakthrough technology has already become accessible for any software developer; tech giants are currently competing to dominate the field of artificial intelligence; China has taken serious steps to become the leader in AI; some jobs might soon be automated, and we've seen some unprecedented advances in deep neural networks. AI is taking the world by storm.
The recent win of AlphaGo over Lee Sedol--one of the world's highest ranked Go players--has resurfaced concerns about artificial intelligence. We have heard about A.I. stealing jobs, killer robots, algorithms that help diagnose and cure cancer, competent self-driving cars, perfect poker players, and more. It seems that for every mention of A.I. as humanity's top existential risk, there is a mention of its power to solve humanity's biggest challenges. Demis Hassabis--founder of Google DeepMind, the company behind AlphaGo--views A.I. as "potentially a meta-solution to any problem," and Eric Horvitz--director of research at Microsoft's Redmond, Washington, lab--claims that "A.I. will be incredibly empowering to humanity." By contrast, Bill Gates has called A.I. "a huge challenge" and something to "worry about," and Stephen Hawking has warned about A.I. ending humanity.
Last week, machine learning took a big leap forward when Google's AlphaGo, a machine algorithm, beat the world champion, Lee Sedol, in the game Go. If the lip-reading technology had been used during the 2006 World Cup Final, when Zinedine Zidane was given a red card for headbutting Marco Materazzi, the outcome of the game could have been different. The partnership will provide students within the university's Department of Computing Science the opportunity to gain hands-on experience of IBM's … A new study reveals that voice assistant AIs, like Siri and Cortana, might be clever, but they lack fundamental empathy at their core. Google has entered into the machine learning market with the alpha release of Cloud Machine Learning. "Extraordinary" merger of machine intelligence and cloud economics, is changing business operations and society, says Leading Edge Forum.
It's only March and already we've seen a computer beat a Go grandmaster and a self-driving car crash into a bus. The world is waking up to the ways in which a combination of "deep learning" artificial intelligence and robotics will take over most jobs. But if we don't want our robot servants to rise up and kill us in our beds, maybe we should delete the video of us beating their grandparents with hockey sticks. Thanks to science fiction, we know that the first thing AI will do is take over the defence grid and nuke us all. In Harlan Ellison's 1967 story I Have No Mouth, and I Must Scream – one of the most brutal depictions of an AI-dominated world – an AI called AM, constructed to fight a nuclear war, kills off most of the human race, keeping five people as playthings.
This paper details the demonstration of an annotation and affordance-based software model intended to introduce cultural and social influences into a non-player character's (NPC) decision-making process. We describe how recent research has supported the need to begin incorporating the effects of culture into the interactive digital domain. The technical approach is presented that describes the software techniques for embedding and utilizing culturally-specific information inside of a virtual environment, as well as the design and implementation of a deterministic Markov Decision Process (MDP) to model the affects of culture on the AI.