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) …
While the power and capability of current artificial intelligence applications is certainly proving to be highly valuable, we're still far away from the vision of AI that science fiction and fantasy predicted. Currently, we only have narrow applications of AI, which focus on designing systems that perform specific tasks using well-defined boundaries. In fact, all current use cases, ranging from AI-powered chatbots to facial recognition to self-driving cars, are under the category of narrow AI applications. Rather than single-purpose systems that can do recognition, conversation or autonomous control, is it possible to design a generally intelligent system that can handle a wide range of cognitive tasks, while adapting without continuous retraining? Futurists and researchers are striving for much broader intelligent machines with artificial general intelligence (AGI).
At the heart of artificial intelligence is the idea that one day we'll be able to build a machine that's as smart as a human. That type of AI is called Artificial General Intelligence or AGI. The most prominent AI experts today think (including DeepMind CEO Demis Hassabis, Google AI Chief Jeff Dean, and Stanford AI director Fei-Fei Li) this would take quite a few years before it is built. The years ranged from 2029 to 2200, with the average estimate being 2099 -- 81 years from now.
Three reports, three pieces of evidence that the fourth industrial revolution is gathering steam. See it in terms of the Gartner Hype Cycle, which divides the technology cycle into stages around initial hype, disillusionment, before the technology finally starts to fulfil potential. There has been no shortage of commentary that AI is little more than a buzzword, automation technologies such as RPA are over hyped, while healthtech has often failed to live up to expectations. Then again, it always is thus, new technology often does attract a lot of wild claims, leading to some kind of crash, before it finally fulfils potential. Maybe we are finally reaching that point when potential is realised.
The journey of Artificial Intelligence started in 1956 when it was founded as academic discipline. One of the pioneers, John McCarthy defined it as "the science and engineering of creating intelligent machines". Though it moved ahead in research and academics, it started gaining commercial traction only when the cost of computation power and storage started falling and network bandwidths allowed cloud computing and storage to become viable. The rise and rise on internet provided multiple use cases for its use. Its most visible application is Machine Learning (ML) which is based on the idea that computers can decipher patterns from data and predict outcomes thereafter.
The concept of Artificial General Intelligence (AGI) that is able to carry out tasks and understand the world in the way that humans do has been around since 2005 when it was first mooted by Dr Ben Goertzel and Cassio Pennachin in their book Artificial General Intelligence. A new collaboration between network specialist Cisco and AI company SingularityNET brings practical AGI a step closer, with a commitment to developing applied technologies and customer solutions. SingularityNET's AGI technologies include a custom version of the OpenCog AGI engine, along with a variety of unique deep neural net technologies for vision, language and other data types, and a decentralized blockchain-based platform suited for deployment of AI technologies across all markets. "These corporate investments into AGI are occurring not only out of a desire to spur rapid progress toward important research and humanitarian goals, but also because AGI capability is expected to provide tremendous commercial benefit to whomever develops it," says Dr Goertzel. "This benefit may initially take the form of a generation of'Narrow AGI' systems that infuse general intelligence into products in specific vertical markets like, say, advertising, medical research, computer networking or financial analytics."
Maria Bartiromo has been covering business news for 30 years, and she's got her eye on the next big wave: artificial intelligence. The Fox Business Network anchor, who recently re-signed with the network for a multiyear deal, is releasing an hour-long investigative documentary about artificial intelligence. The segment, which has been in the works for a year now, includes interviews with chief executive officers of major companies including IBM IBM, -0.76% and Ford. Fox News parent company Fox Corp FOXA, 0.72% was previously owned by MarketWatch parent News Corp NWS, -0.21%. Artificial intelligence isn't just making demands to Siri on Apple's iPhones, AAPL, -1.46% or telling your Google GOOG, -0.71% email inbox to identify spam.
I talk to myself a lot. I'd say that most people utilize internal speech to work their way through various problems. Language seems to be a crucial component to the problem solving process and how we describe the world to ourselves. How do we comprehend atomic scales and cosmic scales, and the relationship between them? Such things are in many ways incomprehensible.
Microsoft announced a $1 billion investment in OpenAI, a lab co-founded by Elon Musk to develop "artificial general intelligence." The investment is the start of a long-term partnership between the two organizations. OpenAI will ensure its services work on Microsoft's Azure cloud platform, and the companies will collaborate on new supercomputers. OpenAI's stated mission is to develop "artificial general intelligence," or AGI. In layman's terms, AGI is AI that can think like a human (possibly even better) while carrying out complex tasks autonomously.
Expect an enhanced workforce dedicated to AI safety, big steps in reaching what's known as "general" intelligence, and more of the same (i.e. Unlike other emerging technologies, AI never seems to go away. It's perpetually talked about, studied, revered, and feared. It's going to give robots sentience! And they're going to take over the human race!
Artificial intelligence (AI) has come a long way in recent years. For example, AI has defeated the human world champion of Go, recreated the periodic table of elements, enabled self-driving vehicles, identifed crop diseases, and predicted depression from speech. Imagine what could happen as AI improves capabilities in areas that are squarely in the domain of the human brain. Today, technology is far from achieving parity with human-level intelligence, also known as "strong AI" or artificial general intelligence (AGI). Recent AI advances in one capability--pattern recognition--has spawned an investment gold rush for AI startups and machine learning talent from venture capital, corporations, and governments who have recognized the potential competitive advantage.