Intel is building Intel’s brain-like processors that will power the robots of the future
At Intel CEO’s keynote at CES 2018; Intel skimmed in allusions to its more innovative forms of data processing that could be befalling down the pipeline. Amidst discussion of the significance of data in virtually every viewpoint of life; the company thinks that the future of computing remains within two fundamental areas: Neuromorphic and quantum computing.
Intel CEO Brian Krzanich made this announcement during his keynote Monday night during CES 2018; dispensing off two new processors built for these computing parts.
Intel’s Brain-Like Processors
The new neuromorphic computing processor nails out the conventional desktop processor architecture; alternately tries to imitate how the brain absorbs and develops on its own. The prototype chip, called Loihi; mimics the brain in silicon by executing digital circuits (artificial neurons) and pathways. But according to Krzanich; these paths will vary as the chip receives data and self-learns as a result; just like our brains.
Moreover, Krzanich said the prototype chip mastered how to perform simple object identification in the company’s labs in only several weeks. He thinks this technology in Intel’s brain-like processors will affect “future products and innovations;” also that will begin by setting prototype chips in the hands of researchers to find the real potential of neuromorphic computing. Even more, the chip ensures faster machine learning with better power performance.
“The Loihi test chip offers highly flexible on-chip learning and combines training and inference on a single chip;” added Intel Labs’ Dr. Michael Mayberry. “This allows machines to be autonomous; also, to adapt in real time instead of waiting for the next update from the cloud. The self-learning capabilities prototyped by this test chip have enormous potential to improve automotive; also, industrial applications as well as personal robotics.”
The 49-Qubit Quantum Chip
As for the quantum computing perspective, Krzanich predicates that quantum computing could solve difficulties that the modern best supercomputers on the Earth could take months or even ages to fix. That’s the driving strength behind Intel’s advanced quantum computing solution: Its new 49-qubit superconducting quantum test chip named as “Tangle Lake.” The label indicates the chip includes 49 quantum bits (aka qubits), which are units of quantum data.
With the new Tangle Lake processor, researchers can invigorate an otherwise “nascent field” to simulate computational queries, and better error correction methods. We still have a very long way to go before quantum computing touches “commercial relevance,” but Intel’s research and development into Tangle Lake seem to be contending quantum computing forward.
“In the quest to deliver a commercially viable quantum computing system, it’s anyone’s game,” Mayberry added. “We expect it will be five to seven years before the industry gets to tackling engineering-scale problems, and it will likely require 1 million or more qubits to achieve commercial relevance.”
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