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Intel Loihi self-learning neuromorphic processor

08.10.2017

Intel talked about a development that can accelerate artificial intelligence applications and expand their scope. This is a processor under the code name Loihi, which the manufacturer himself describes as "self-learning" and "neuromorphic".

Loihi is said to work on the same principles as the human brain. The processor learns using different types of feedback. As a result, it becomes "smarter" directly in the process of work, excluding the training stage familiar to current AI systems. Loihi's architecture is reminiscent of a neural network, in which impulses at synapses serve to create and strengthen connections between neurons. Intelligent behavior is the result of cooperative and competitive interaction between network sites and the outside world.

Loihi's test chip incorporates digital circuitry that mimics the basic elements of the brain to speed up machine learning while reducing power consumption. On the one hand, the approach used allows the processor to learn autonomously and in real time, without waiting for updates coming from the cloud, and on the other hand, it radically increases the speed of work. Intel estimates that Loihi is trained 1 million times faster than other neural networks when compared to the total number of operations required to achieve a given accuracy when solving MNIST recognition problems. Moreover, compared to approaches such as convolutional neural networks and deep learning neural networks, Loihi spends significantly less resources to solve the same problem. In terms of energy efficiency, Loihi is 1000 times superior to general purpose processors used in conventional learning systems.

The processor, manufactured using 14-nanometer technology, includes 130 neurons and 000 million synapses.

Intel promises to provide Loihi to leading AI universities and research institutes in the first half of 2018.

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