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.
Artificial intelligence (AI) may be among the latest buzzwords in finance, but applying it to investment decision making will disrupt the industry and benefit those investors who harness its power. If used correctly, AI can add high alpha potential within a more stable modeling framework. AI is the basis for a different quantitative investment paradigm. It is a nonlinear, high-dimensional learning approach that typically seeks to replicate human reasoning. One interpretation of this new paradigm can be thought of as learning (and learning to apply) "Graham and Dodd"–style systematic rules.
Once you're called a "genius," what's left? No, getting called a "genius" is the final accolade, the last laudatory label for anyone. At least that's how several members of Mensa, an organization of those who've scored in the 98th percentile on an IQ test, see it. "I don't look at myself as a genius," LaRae Bakerink, a business consultant and a Mensa member, said. "I think that's because I see things other people have done, things they have created, discovered, or invented, and I look at those people in awe, because that's not a capability I have."
Ed Newton-Rex, who composes for choirs, says JS Bach demonstrated how the greatest creative artists draw on a wide range of qualities. "It wasn't just his knowledge of music, although that was a big part of it," he says. "It was also his fervent religious belief and very high sense of academic rigour." Until machines can encompass these, they are not likely to compose anything rivalling the Goldberg Variations. Nevertheless, as the founder of AI music composer Jukedeck, Newton-Rex thinks computers are capable of creativity.
The next advances in artificial intelligence will come from robotics. The current state of the art in machine learning, also called AI, includes some mind-stretching achievements, but in narrow areas. The path toward building broader human-level intelligence requires us to relax the assumptions built into existing methods. Research in robotics and physical interaction will start us in this direction. AUTHOR: Brandon Rohrer PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed).
JAXenter: The term'intelligence' is not easy to understand. What's the best way to explain it and how can we apply it to machines? Marisa Tschopp: Human intelligence has been a very controversial topic and has undergone dramatic changes in history since the beginnings in the early 19th century. Intelligence gained importance especially in the educational context as these "mental abilities" were the best predictors for success in school and aimed to place students into the right classes. There are various, very elaborated theories, that define human intelligence.
If you are like a lot of dealers today, you are considering using some form of Artificial Intelligence (AI) in your dealership. In fact, you may already have it in play via chat, texting, emails, etc. to your customers. The truth is, it's probably a good idea when employed in the right way and blended with committed and capable human intelligence. When I went to the Consumer Electronics Show this year, AI was all the rage from robots that could play ping pong to communications applications that assisted business customers. I was intrigued when I read about the hamburger flipping robot "employed" at a California burger chain.
Artificial intelligence has the capability to far surpass our intelligence in a relatively short period of time. But AI expert Ben Goertzel knows that the foundation has to be strong for that artificial brain power to grow exponentially. It's all good to be super-intelligent, he argues, but if you don't have rationality and empathy to match it the results will be wasted and we could just end up with an incredible number-cruncher. In this illuminating chat, we makes the case for thinking bigger. Ben Goertzel's most recent book is AGI Revolution: An Inside View of the Rise of Artificial General Intelligence.
Nonetheless, this has our curiosity. What's more, the news also presents us the chance that we seldom get in the mainstream media to further debate points of contention related to AI, like how Sikka's admiration for China should not overlook the massive state surveillance that is reportedly being carried out (think –facial recognition) or that there is a genuine basis for being careful on how we develop these technologies and the impact that they could have on the human society. AI is the future but how we get there is the debate.
For the first time, scientists have discovered that smart people have bigger brain cells than their peers. As well as being bulkier, the cells are better connected to their neighbours, allowing them to process more information at a faster rate. If results of the study are confirmed, it could help researchers find a way to enhance our intelligence. Smart people have bigger brain cells that are better connected than those of less intelligent people, say scientists. A study, led by Natalia Goriounova at the Free University Amsterdam, gave an IQ test to 35 people who were due to undergo brain surgery, according to report in New Scientist.
Last week, PLOS Medicine and PLOS ONE editors Linda Nevin and Meghan Byrne attended Human Intelligence & Artificial Intelligence (HIAI) in Medicine, a Stanford Presence Center symposium. HIAI brought together thought leaders in medicine, computer science and policy to envisage an inclusive, equitable and humane experience in medicine with AI solutions. A few highlights from the symposium are described here. "Supervised learning is the ultimate example of'garbage in, garbage out'," computer scientist and former Stanford President John L. Hennessy told the audience in his opening remarks at last Tuesday's Human Intelligence & Artificial Intelligence (HIAI) in Medicine Symposium, hosted by the Stanford Presence Center. Dr. Hennessy was honored at the symposium for his recent Turing Award, but his talk stayed true to the Presence mission--championing human intelligence in medicine as artificial intelligence (AI)'s role in the clinic grows.