IBM - SyNAPSE: a cognitive computing project from IBM Research 
Beyond machines
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.

IBM - SyNAPSE: a cognitive computing project from IBM Research

Beyond machines

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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