If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
I wanted to write a few posts explaining the'magic' behind artificial intelligence for people who like me aren't math or programming geniuses. This is the first post in the series that will start from the beginning assuming little-to-no knowledge of what A.I is. Google has a pretty good definition of what A.I is: However, one misconception people often have is that all A.I is artificial general intelligence. What is Artificial General Intelligence? Essentially, AGI is the A.I you see in the movies, A.K.A fully sentient beings that are usually hostile towards the human race .
Artificial Intelligence has been around since the 1950's. Alan Turing envisioned a machine that could think. He devised a test, aptly named the Turing Test, published in an article titled Computing Machinery and Intelligence. He proposed the notion that a computational machine could answer a series of questions from a panel of judges. The responses would be rational, thoughtful, and indistinguishable to another human.
The way towards artificial general intelligence and artifical superintelligence is ahead of us. The road will be something well worth paying attention to, and the way I find myself seeing it form is by looking at where we are with current developments, and piecing it together to project how the future will form itself. That way, the headlines will not be so alluring as to make it seem as though we are around the last bend, and it becomes easy to push back against the fear mongering that makes it seem as though we have already lost the war with the machines. Google released a paper this week, very tellingly titled'One Model to Learn Them All'. The paper details their efforts to build an algorithim that will allow a neural network to train itself to work on upto eight different tasks simultaneously.
This is the second in a 7-part series on the Future of Learning. You can read the first post here, and join the discussion on our Facebook page: The Future of Learning. Artificial intelligence is already all around us. Any time a device, machine, or digital object has cognitive functioning abilities we are witnessing artificial intelligence. Think about thermostats like Nest, that know what temperature the house should be without it being input by a human.
Summary: Looking beyond today's commercial applications of AI, where and how far will we progress toward an Artificial Intelligence with truly human-like reasoning and capability? This is about the pursuit of Artificial General Intelligence (AGI). There is no question that we're making a lot of progress in artificial intelligence (AI). So much so that we are rapidly approaching or have already arrived at a plateau in development where more effort is being put into commercializing existing AI capabilities than in improving it. As far back as November 2014 Kevin Kelly, cofounder of Wired magazine and prolific futurist observed "The business plans of the next 10,000 startups are easy to forecast: Take X and add AI." Well Kevin, you're right.
When it comes to Artificial Intelligence (AI), people's responses vary: from "Terminator and Skynet are coming to kill us all" to "Will the bots take my jobs?" to "Awesome, now I can sit back and do the fun stuff while the bots take care of tedious tasks for me." But there are also misperceptions and misinformation. It's always useful to have a basic grasp of AI, because whether you like it or not, AI is already manifesting in many aspects of our lives. For instance, you can now order Domino's pizzas by talking to your phone. Plus, the pizza giant also says it is moving from a "mobile first" to an "AI first" philosophy.
Ask Geordie Rose and Suzanne Gildert, co-founders of the startup Kindred, about their company's philosophy, and they'll describe a bold vision of the future: machines with human-level intelligence. Rose says these will be perhaps the most transformative inventions in history -- and they aren't far away. More intriguing than this prediction is Kindred's proposed path for achieving it. Unlike some of the most cash-flush corporations in Silicon Valley, Kindred is focusing not on chatbots or game-playing programs, but on automating physical robots. Gildert, a physicist who conceived Kindred in 2013 while working with Rose at quantum computing company D-Wave, thinks giving AI a physical body is the only way to make real progress toward a true thinking machine.
By now, you must have noticed; Artificial Intelligence(AI) is a buzzword even outside of the tech industry. In other discussions, you might come across claims that humanity has not yet discovered AI. How can both of these claims be true? Let's take a deeper dive into what AI actually means in 2017, the significance of related terms such as: The majority of currently active Artificial Intelligence is actually Narrow AI. Narrow AI is usually software that is automating a traditionally human activity, and in most cases it outperforms humans in efficiency and endurance.