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AMHERST, Mass. - As computer scientists this year celebrate the 100th anniversary of the birth of the mathematical genius Alan Turing, who set out the basis for digital computing in the 1930s to anticipate the electronic age, they still quest after a machine as adaptable and intelligent as the human brain. Now, computer scientist Hava Siegelmann of the University of Massachusetts Amherst, an expert in neural networks, has taken Turing's work to its next logical step. She is translating her 1993 discovery of what she has dubbed "Super-Turing" computation into an adaptable computational system that learns and evolves, using input from the environment in a way much more like our brains do than classic Turing-type computers. She and her post-doctoral research colleague Jeremie Cabessa report on the advance in the current issue of Neural Computation. "This model is inspired by the brain," she says. "It is a mathematical formulation of the brain's neural networks with their adaptive abilities." The authors show that when the model is installed in an environment offering constant sensory stimuli like the real world, and when all stimulus-response pairs are considered over the machine's lifetime, the Super Turing model yields an exponentially greater repertoire of behaviors than the classical computer or Turing model. They demonstrate that the Super-Turing model is superior for human-like tasks and learning.

"If you've ever had to make a snap decision between two unfamiliar choices, you may want to thank your subconscious for making it possible. According to new research, the brain's memory areas link new memories to old associations, providing a roadmap for decision-making we don't even realize we have. The research, published in the Oct. 12 issue of the journal Science, focuses on the hippocampus, a region nestled deep in the brain that helps consolidate memories. Scientists have long known the hippocampus links memories and integrates them together, but the new study is the first to look at the region's role in biasing the brain toward certain choices."

"The emerging science of 'collective intelligence' - and the rise of the global brain"

We will see that the 1.5 kilograms (3 pounds) of bees in a honeybee swarm, just like the 1.5 kilograms (3 pounds) of neurons in a human brain, achieve their collective wisdom by organizing themselves in such a way that even though each individual has limited information and limited intelligence, the group as a whole makes first-rate collective. Like many other biologists, Seeley sees a bee colony as not just a collection of individuals but as a sort of super-organism. Thus the brain analogy above.

Jonah Lehrer in his book "Imagine" introduced me to an interesting study by Beeman and Kounios. They showed, in brief, by using fMRI imaging and EEG measurements of brain activity, that we possess two different modes of problem solving: One dominated by the left half of the brain, and one dominated by the right half of the brain.

How you react to people and events can tell us a lot about the way you process information. The brain runs our lives. It processes and creates different emotions in us everyday. We have a choice of either letting it run its course or guiding it the way we want to run our lives. Our brain has 61 patterns that drive our behaviour. So here is a quiz that will provide you awareness and insights into how your brain processes any information. 

Forget coffee and crosswords. If you want to supercharge your brain, you have to change your lifestyle. But only a few things about it. Here, we lay to rest some of the well-worn myths of power thinking, and give you the facts on what you can do to actually improve mental performance.

One of our most important living philosophers, Dan Dennett is best known for his provocative and controversial arguments that human consciousness and free will are the result of physical processes in the brain. He argues that the brain's computational circuitry fools us into thinking we know more than we do, and that what we call consciousness - isn't. This mind-shifting perspective on the mind itself has distinguished Dennett's career as a philosopher and cognitive scientist. And while the philosophy community has never quite known what to make of Dennett (he defies easy categorization, and refuses to affiliate himself with accepted schools of thought), his computational approach to understanding the brain has made him, as Edge's John Brockman writes, "the philosopher of choice of the AI community."

But the second thing he explained to me was more subtle and way more powerful. He explained that I should start working on a project as soon as it was assigned. An hour or so would do fine, he told me. He told me to come back to the project every day for at least a little bit and make progress on it slowly over time. I asked him why that was better than cramming at the very end (as I was doing during the conversation). He explained that once your brain starts working on a problem, it doesn't stop. If you get your mind wrapped around a problem with a fair bit of time left to solve it, the brain will solve the problem subconsciously over time and one day you'll sit down to do some more work on it and the answer will be right in front of you.

"For more than half a century, computers have been little better than calculators with storage structures and programmable memory, a model that scientists have continually aimed to improve. Comparatively, the human brain-the world's most sophisticated computer-can perform complex tasks rapidly and accurately using the same amount of energy as a 20 watt light bulb in a space equivalent to a 2 liter soda bottle. Cognitive computing: thought for the future Making sense of real-time input flowing in at a dizzying rate is a Herculean task for today's computers, but would be natural for a brain-inspired system. Using advanced algorithms and silicon circuitry, cognitive computers learn through experiences, find correlations, create hypotheses, and remember-and learn from-the outcomes. For example, a cognitive computing system monitoring the world's water supply could contain a network of sensors and actuators that constantly record and report metrics such as temperature, pressure, wave height, acoustics and ocean tide, and issue tsunami warnings based on its decision making."

Now when I'm asked, "What's the most effective way for people to share their tacit knowledge?" I always think of Hans and the answer I give is: "Tacit knowledge needs to be shared through conversation." My reasoning is as follows. Our tacit knowledge is drawn from our experience as well as our years of study and is stored in bits and pieces in our brain, that is, it is not stored as answers or explanations but as fragments. What we call "tacit knowledge" is the human ability to draw on those fragments to construct a response to a new problem or question.

"Collective intelligence has been around for a long time. What is different today, however, is how collective intelligence, combined with technology, has the power to create what has been described as a "global brain." Technology optimists like Thomas Malone, who heads MIT's Center for Collective Intelligence, argue that this global brain will develop into an awesome problem solving tool that will be able to tackle seemingly insurmountable problems. "

Any aspect of your daily life - most importantly your projects, business, or career - can be helped by critical thinking. You just need to practice it constantly. What's Critical Thinking? Your brain thinks diversely. It can be affected by various factors too, plus the problem of relationships, for example, exactly what the heart says usually overwhelms exactly what the mind suggests.

Cognitive computing, as the new field is called, takes computing concepts to a whole new level.  Earlier this week, Dharmendra Modha, who works at IBM's Almaden Research Center, regaled a roomful of analysts with what cognitive computing can do and how IBM is going about making a machine that thinks the way we do.  His own blog on the subject is here.

Simply put, our brain is inherently well suited for some tasks, but ill suited for others. Unfortunately, the brain's weaknesses include recognizing which tasks are which, so for the most part we remain ignorantly blissful of the extent to which our lives are governed by the brain's bugs.

"Two things are clear. The first is that smart machines are evolving at breakneck speed. Moore's law-that the computing power available for a given price doubles about every 18 months-continues to apply. This power is leaping from desktops into people's pockets. More than 1.1 billion people own smartphones and tablets. Manufacturers are putting smart sensors into all sorts of products. The second is that intelligent machines have reached a new social frontier: knowledge workers are now in the eye of the storm, much as stocking-weavers were in the days of Ned Ludd, the original Luddite. Bank clerks and travel agents have already been consigned to the dustbin by the thousand; teachers, researchers and writers are next. The question is whether the creation will be worth the destruction."

"NEXT UP: MACHINES THAT UNDERSTAND YOU AND EVERYTHING YOU CARE ABOUT, ANTICIPATE YOUR BEHAVIOR AND EMOTIONS, ABSORB YOUR SOCIAL GRAPH, INTERPRET YOUR INTENTIONS, AND MAKE LIFE, UM, "EASIER.""

People who have already sifted through online information to make sense of a subject can help strangers facing similar tasks without ever directly communicating with them, researchers at Carnegie Mellon University and Microsoft Research have demonstrated. This process of distributed sensemaking, they say, could save time and result in a better understanding of the information needed for whatever goal users might have, whether it is planning a vacation, gathering information about a serious disease or trying to decide what product to buy.

What is creativity? Where does it come from? The workings of the creative mind have been subjected to intense scrutiny over the past 25 years by an army of researchers in psychology, sociology, anthropology and neuroscience. But no one has a better overview of this mysterious mental process than Washington University psychologist R. Keith Sawyer, author of the new book Explaining Creativity: The Science of Human Innovation (Oxford; 336 pages). He's working on a version for the lay reader, due out in 2007 from Basic Books. In an interview with Francine Russo, Sawyer shares some of his findings and suggests ways in which we can enhance our creativity not just in art, science or business but in everyday life.