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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."
Neil Movold

Welcome to the Era of Cognitive Systems - 0 views

  • Notice, I don’t use the term “thinking machines.” That’s because I don’t want to suggest that cognitive systems will think like humans do. Rather, they will help us think and make better decisions.
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    "Today, we are at the dawn of another epochal shift in the evolution of technology. At IBM Research, we call it the era of cognitive systems. This is a big deal. The changes that are coming over the next 10 to 20 years-building on IBM's Watson technology-will transform the way we live, work and learn, just as programmable computing has transformed the human landscape over the past 60+ years. You could even call this the post-computing era."
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

Organizations Capitalize on Collective Intelligence - Messaging and Collaboration - 0 views

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    Businesses are using collective intelligence to speed up company growth, improve efficiency, enhance products and services, and strengthen the employee environment, according to new research from IBM.
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."
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