IBM has unveiled its latest SyNAPSE chip (Systems of Neuromorphic Adaptive Plastic Scalable Electronics) yesterday with the help of Cornell Tech and iniLabs, to mimic the performance of the human brain, features 1 million programmable neurons and 256 million programmable synapses.
The project was announced over two years ago and has funded by the US Defence Advanced Research Projects Agency of amount USD 53.5 million. Its prototype was revealed in 2011 then chip possessed only 256 programmable neurons.
Source: IBM Research
Known as True North, consumes 70mW and is capable of 46 billion synaptic operations per second, per watt. The researchers designed TrueNorth on-chip network of 4,096 neurosynaptic cores and 5.4 billion transistors. According to the research team, it is built on Samsung’s 28nm process and has has a parallel, distributed, modular, scalable, fault-tolerant, flexible architecture that integrates computation, communication, and memory and has no clock.
“The architecture can solve a wide class of problems from vision, audition, and multi-sensory fusion, and has the potential to revolutionize the computer industry by integrating brain-like capability into devices where computation is constrained by power and speed,” said Dr. Dharmendra S. Modha, chief scientist at IBM Research’s Brain-Inspired Computing unit.
“It is an astonishing achievement to leverage a process traditionally used for commercially available, low-power mobile devices to deliver a chip that emulates the human brain by processing extreme amounts of sensory information with very little power,” said Shawn Han, vice president of Samsung’s foundry marketing. “This is a huge architectural breakthrough that is essential as the industry moves toward the next-generation cloud and big-data processing.”
According to Mashable, Some of the future applications the researchers envision the SyNAPSE chip facilitating include solar-powered, leaf-shaped sensor modules that could send out environmental and forest fire alerts as well as assistive glasses that would be able to guide the visually impaired wearer without the need of a Wi-Fi connection.
Source: IBM Research
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