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Neil Movold

Brain's unconscious bias sways decisions - 0 views

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    "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."
Neil Movold

Why we forget - 0 views

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    Our memories are wrong at least as often as they are right. At best, they are incomplete, though we might swear other wise. This affects countless aspects of our lives, and in many cases our memories - true or false - affect others' lives.
Neil Hambleton

Searching for the Google Effect on People's Memory - 0 views

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    "The results, she says, support a growing belief that people are using the Internet as a personal memory bank: the so-called Google effect. What surprised Sparrow most was not people's reliance on nonmemorized information but their ability to find it."
Neil Movold

New Ways of Thinking - Beyond Machines - 0 views

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    "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."
Neil Movold

Essay on Definition and Classification of Knowledge - 0 views

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    Knowledge or cognition (jriana or buddhi) is the manifestation of objects. Just as the light of a lamp reveals or shows physical things, so knowledge manifests all its objects. Knowledge is broadly divided into anubhava or presentative cognition and smrti or memory, i.e., representative cognition. Each of the two can be valid (yathartha) or non-valid (ayathartha).
Neil Movold

Cognitive Computing: When Computers Become Brains - 0 views

  • The human brain integrates memory and processing together, weighs less than 3 lbs, occupies about a two-liter volume, and uses less power than a light bulb.  It operates as a massively parallel distributed processor.  It is event driven, that is, it reacts to things in its environment, uses little power when active and even less while resting.  It is a reconfigurable, fault-tolerant learning system.  It is excellent at pattern recognition and teasing out relationships.
  • A computer, on the other hand, has separate memory and processing.  It does its work sequentially for the most part and is run by a clock.  The clock, like a drum majorette in a military band, drives every instruction and piece of data to its next location — musical chairs with enough chairs.  As clock rates increase to drive data faster, power consumption goes up dramatically, and even at rest these machines need a lot of electricity.  More importantly, computers have to be programmed.  They are hard wired and fault prone.  They are good at executing defined algorithms and performing analytics.
  • Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE)
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    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.
Neil Movold

How Technology is Changing the Way Children Think and Focus - 0 views

  • You can think of attention as the gateway to thinking. Without it, other aspects of thinking, namely, perception, memory, language, learning, creativity, reasoning, problem solving, and decision making are greatly diminished or can’t occur at all.
  • In fact, studies have shown that reading uninterrupted text results in faster completion and better understanding, recall, and learning than those who read text filled with hyperlinks and ads.
  • Research shows that, for example, video games and other screen media improve visual-spatial capabilities, increase attentional ability, reaction times, and the capacity to identify details among clutter. Also, rather than making children stupid, it may just be making them different. For example, the ubiquitous use of Internet search engines is causing children to become less adept at remembering things and more skilled at remembering where to find things. Given the ease with which information can be find these days, it only stands to reason that knowing where to look is becoming more important for children than actually knowing something. Not having to retain information in our brain may allow it to engage in more “higher-order” processing such as contemplation, critical thinking, and problem solving.
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    "Thinking. The capacity to reflect, reason, and draw conclusions based on our experiences, knowledge, and insights. It's what makes us human and has enabled us to communicate, create, build, advance, and become civilized. Thinking encompasses so many aspects of who our children are and what they do, from observing, learning, remembering, questioning, and judging to innovating, arguing, deciding, and acting."
Neil Movold

IBM Research: A new era of computing: cognitive systems - 0 views

  • In cognitive systems, performance improvements will derive from scaling in: moving key components, such as storage, memory, networking and processing onto a single chassis, closer to the data.
  • The volume of data produced today isn't just increasing—it's getting faster, taking more forms and is increasingly uncertain in nature.
  • Uncertainty arises from such sources as social media, imprecise data from sensors and imperfect object recognition in video streams. IBM experts believe that by 2015, 80 percent of the world's data will be uncertain.
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  • Whereas in today's programmable era, computers essentially process a series of "if then what" equations, cognitive systems learn, adapt, and ultimately hypothesize and suggest answers.
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    "Over the past few decades, Moore's Law, processor speed and hardware scalability have been the driving factors enabling IT innovation and improved systems performance. But the von Neumann architecture-which established the basic structure for the way components of a computing system interact-has remained largely unchanged since the 1940s. Furthermore, to derive value, people still have to engage with computing systems in the manner that the machines work, rather than computers adapting to interact with people the way they work."
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