DeepSouth: Human Brain-Scale Supercomputer Goes Online In 2024

They invent because they can. This novel architecture mimics the human brain with 228 trillion operations per second, simulating brain-like networks at scale. This technology emulates the brain’s learning, adaptation, and processing abilities in a parallel and distributed manner intended to power AI applications.

As the video notes, “This is the beginning…” — Technocracy News & Trends Editor Patrick Wood

By: Ellie Zolfagharifard via Business Insider

The supercomputer, named DeepSouth, is being developed by Western Sydney University in Australia.
When it goes online next year, it will be capable of 228 trillion synaptic operations per second.
It could one day help create a cyborg brain vastly more powerful than our own.

Our brains are remarkably energy efficient.

Using just 20 watts of power, the human brain is capable of processing the equivalent of an exaflop — or a billion-billion mathematical operations per second.

Now, researchers in Australia are building what will be the world’s first supercomputer that can simulate networks at this scale.

The supercomputer, known as DeepSouth, is being developed by Western Sydney University.

When it goes online next year, it will be capable of 228 trillion synaptic operations per second, which rivals the estimated rate of operations in the human brain.

The hope is to better understand how brains can use such little power to process huge amounts of information.

If researchers can work this out, they could someday create a cyborg brain vastly more powerful than our own. The work could also revolutionize our understanding of how our brains work.

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“Progress in our understanding of how brains compute using neurons is hampered by our inability to simulate brain-like networks at scale,” said André van Schaik, a director at Western Sydney University’s International Centre for Neuromorphic Systems.

“Simulating spiking neural networks on standard computers using Graphics Processing Units and multicore Central Processing Units is just too slow and power intensive,” he added. “Our system will change that.”