10 May '18, 3pm

Probabilistic Computing Takes Artificial Intelligence to the Next Step

The potential impact of Artificial Intelligence (AI) has never been greater — but we’ll only be successful if AI can deliver smarter and more intuitive answers. A key barrier to AI today is that natural data fed to a computer is largely unstructured and “noisy.” It’s easy for humans to sort through natural data. For example: If you are driving a car on a residential street and see a ball roll in front of you, you would stop, assuming there is a small child not far behind that ball. Computers today don’t do this. They are built to assist humans with precise productivity tasks. Making computers efficient at dealing with probabilities at scale is central to our ability to transform current systems and applications from advanced computational aids into intelligent partners for understanding and decision-making. Press Kit: Artificial Intelligence This is why probabilistic compu...

Full article: https://newsroom.intel.com/editorials/probabilistic-compu...

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