New Supercomputer with 1 Million Processors Is World's Fastest Brain-Mimicking Machine
New Supercomputer with 1 Million Processors Is World's Fastest Brain-Mimicking Machine
New Supercomputer with 1 Million Processors Is World's Fastest Brain-Mimicking Machine
Scientists simply activated the world's largest "brain": a supercomputer with a million processing cores and 1,200 interconnected circuit boards that operate together like a human brain.
Ten years in development, it is the world's largest neuromorphic computer, a type of computer that mimics the activation of neurons, the scientists announced on November 2.
Nicknamed Spiking Neural Network Architecture, or SpiNNaker, the power of the computer is at the University of Manchester in the United Kingdom, and "rethinks the way conventional computers work", project member Steve Furber, professor of computer engineering at the University of Manchester said in a sentence.
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But SpiNNaker does not just "think" like a brain. According to the statement, it creates models of neurons in human brains and simulates more neurons in real time than any other computer on Earth.
"Your main task is to support partial brain models: for example, models of cortex, basal ganglia or multiple regions typically expressed as nail networks [or firing] Neurons, "Furber told Live Science in an email.
Double processors
Since April 2016, SpiNNaker has been simulating the activity of neurons using 500,000 core processors, but the updated machine has twice that capacity, Furber explained. With the support of the Human Brain Project of the European Union, an effort to build a virtual human brain, SpiNNaker will continue to allow scientists to create detailed brain models. But now it has the capacity to make 200 trillion shares simultaneously, according to university representatives in the statement.
While other computers can compete with SpiNNaker in the amount of processors they contain, what distinguishes this platform is the infrastructure that connects those processors. In the human brain, 100 billion neurons fire and transmit signals simultaneously to thousands of destinations. The architecture of SpiNNaker supports an exceptional level of communication between its processors, which behaves like a brain. neuronal network He does, explained Furber.
"Conventional supercomputers have connectivity mechanisms that are much less suitable for real-time brain modeling," he said. "I think that SpiNNaker is capable of modeling neural networks with larger spikes in real-time biological than any other machine."
Mind over matter
Previously, when SpiNNaker operated with only 500,000 processors, it modeled 80,000 neurons in the cortex, the region of the brain that moderates sense data. Another simulation of SpiNNaker of the basal ganglia, an area of the brain affected by Parkinson's disease, indicates the potential of the computer as a tool to study brain disorders, according to the statement.
SpiNNaker can also control a mobile robot called SpOmnibot, which the computer uses to interpret robot data. vision sensors And make navigation choices in real time, said university representatives.
With all its computing power and capabilities similar to those of the brain, how close is SpiNNaker to behaving like a true human brain? For now, it's simply not possible to exactly simulate a human brain, Furber said. An advanced machine like SpiNNaker can still manage only a fraction of the communication made by a human brain, and supercomputers have a long way to go before they can think for themselves, Furber wrote in the email.
"Even with a million processors, we can only approach 1 percent of the scale of the human brain, and that is with many simplifying assumptions," he said.
However, SpiNNaker could mimic the function of a mouse brain, which is 1,000 times smaller than a human brain, Furber added.
"If a mouse thinks of thoughts the size of a mouse and everything that is needed is enough neurons connected in the correct structure (which in itself is a moot point), maybe we can now reach that level of thought in a model that runs on SpiNNaker. " he said.
Originally published in Living science.
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