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Skynet Rises? First Self Learning Neuromorphic Computing Test Chip ‘Loihi’ Announced by Intel

Intel announced the Loihi, a neuromorphic test chip that promises to drastically increase energy efficiency for artificial intelligence tasks that involve pattern recognition. The chip, and its software, can also learn from its environment to become smarter at fulfilling its objective. This Neuromorphic Computing chip Fabricated on a 14nm  process.

Michael Mayberry, Managing Director of Intel Labs, wrote in a statement: “The Intel Loihi research test chip includes digital circuits that mimic the brain’s basic mechanics, making machine learning faster and more efficient while requiring lower compute power. This Neuromorphic Computing chip could help computers self-organize and make decisions based on patterns and associations”.

The Loihi test chip can do both training and inference, so it can learn and then apply what it has learned without needing a connection to the cloud, allowing the machines to adapt in real time. The future of AI and computing that will revolutionize the way technology is utilized.

The applications for Neuromorphic Computing are endless, especially in areas of deep learning machines, data mining and pattern recognition, search engines, medical machines, automobiles with A.I. processing all the way down to gadget and electronic appliances that we use in everyday lives.

The single fact that a machine will be able to learn, adapt and evolve to a more specialized preference and need to humans is fascinating. The chips are under test and expected to be revealed in the mids of 2018. Commercial production might still be far off. Although industrial and enterprise scale utility will be more beneficial.

This whole year Intel struggle to outperform AMD in terms of desktop and server processors. But this is one area of R & D where Intel takes the lead. Neuromorphic Computing is something much bigger and as Intel claims “Concepts like neuromorphic computing to the mainstream in order to support the world’s economy for the next 50 years”