Can Computers be Creative? How? How can [a creative idea] arise, then, if not by magic? And how can one impossible idea be more surprising, more creative, than another? How can creativity happen?
– from Margaret Boden. Creativity and Unpredictability. Stanford Electronic Humanities Review 4(2), 1995.
Just as no one company can make a smartphone and all of its underlying components, no single company can claim to "solve AI." The human brain has various dimensions of intelligence, including creative intelligence, social intelligence, perception intelligence and emotional intelligence. Our applied AI approach revolves around creating an ecosystem of AI solutions that augment and simulate each of the major dimensions of human intelligence while also staying connected to each other through a system of intelligence.
If you're good at games, you might also be good at everything else. That's according to a new study that found two of the world's most popular video games act like IQ tests. Those who are the best at them also get the highest scores on traditional intelligence tests, suggesting that video games might actually make you smarter. Both games – League of Legends and Defence of the Ancients 2 (DOTA 2) – combine strategic thinking with quick reactions, and so could both reward and train up particular kinds of thinking. That seemed to be confirmed by the study, which compared people's levels of skill in the games with their IQ.
You might think having a smart boss must be a good thing, but new research has shown there is an optimal level of intelligence for a leader. Experts found that bosses whose IQ was more than 18 points higher than their employees begin to lose their respect. The results also showed a strong link between intelligence and performance up to an IQ of around 120, after which point this trend begins to go into reverse. The news may cause concern for US President Donald Trump, who is famously proud of his'huge' intellectual prowess. Experts have found that bosses whose IQ is more than 18 points higher than their employees lose their respect.
The average IQ in the UK is 104 but even the brainiest Brits may struggle to get through this challenging test. A new quiz from Playbuzz puts your IQ to the test in a series of fiendishly difficult puzzles and riddles that are leaving the Internet baffled. Devised by user Terry Stein, players are faced with ten baffling questions and according to Playbuzz only 0.1 per cent will be able to secure full marks. Those who do master the challenge are said to have a'passion for perfection', enjoy challenging themselves and'excel in finding problems and solutions'. Think you can rise to the challenge?
Two decades ago I started working on metrics of machine intelligence. By that time, during the glacial days of the second AI winter, few were really interested in measuring something that AI lacked completely. And very few, such as David L. Dowe and I, were interested in metrics of intelligence linked to algorithmic information theory, where the models of interaction between an agent and the world were sequences of bits, and intelligence was formulated using Solomonoff's and Wallace's theories of inductive inference. In the meantime, seemingly dozens of variants of the Turing test were proposed every year, the CAPTCHAs were introduced and David showed how easy it is to solve some IQ tests using a very simple program based on a big-switch approach. And, today, a new AI spring has arrived, triggered by a blossoming machine learning field, bringing a more experimental approach to AI with an increasing number of AI benchmarks and competitions (see a previous entry in this blog for a survey).
Nearly every industry today is swimming in data, and the floodgates are not closing any time soon. Expert projections suggest a 4,300% increase in annual data production that will create 35 zettabytes by 2020. As the acceleration of data analytics continues, more businesses are realizing the necessity for an efficiency of increased automation across their organizations. In fact, nearly three-quarters of business leaders and employees believe at least some part of their job could be automated. Yet, there's also an ongoing debate around the linear computational ability of machines, which inherently lacks business logic.
When I was a scrawny little chap, shortest in my high school class, I always wanted a super power. Wanted doesn't capture the feeling. I would have given a limb for a super power. I read a lot of books back then (and now) and landed on a super power that had something to do with the brain. I eventually landed on Prof. Xavier of the X-Men.
Google is fully aware of artificial intelligence's (AI) potential -- DeepMind's AlphaGo AI is one of today's most well-known examples of its capabilities -- and in an earnings call this week, the company made it clear they believe the future of technology lies with AI. During the call, Sundar Pichai, CEO of Alphabet (Google's parent company), praised the company's decision to invest in AI early, highlighting the concept's trajectory from "a research project to something that can solve new problems for a billion people a day," according to an Inverse report. Pichai went on to note how Google's AI research is already producing products that utilize machine learning, such as the Google Clips camera that debuted earlier this month. "Even though we are in the early days of AI, we are already rethinking how to build products around machine learning," said Pichai. "It's a new paradigm compared to mobile-first software, and I'm thrilled how Google is leading the way."
Regardless of application, the real power of AI lies in its "contextual awareness," namely its ability to sense and respond to current context. The potential of AI is especially exciting in the context of sales and marketing. AI is already helping sales and marketers automate mundane and tedious tasks and streamline day-to-day activities. AI technologies, such as Node, are so advanced that they can pinpoint the most lucrative entry points into potential customers and can even recommend conversation openers. The sky is the limit in terms of the breadth of questions that it can answer.
That's partly what makes testing for IQ in A.I. so frustrating. Building an A.I. able to ace an SAT test doesn't necessarily mean it's equipped to do much else. Even if an A.I. agent can pull out information from the entire Encyclopedia Britannica on a penny-drop or solve complex integrals in calculus, it doesn't mean it has the common-sense skills needed to go out and order a sandwich from the nearest deli. How would it know how to wait in line? Decide what's a better combo deal?