Western Sydney University prepares to switch on its DeepSouth supercomputer

The new DeepSouth supercomputer, set to become operational in April 2024, aims to emulate the human brain’s efficiency. With its neuromorphic architecture, it can perform 228 trillion synaptic operations per second, matching the human brain’s capacity. Researchers anticipate its potential to advance AI technology and address energy consumption concerns in data centers.

 Western Sydney University prepares to switch on its DeepSouth supercomputer

Western Sydney University to Launch DeepSouth Supercomputer

Researchers at Western Sydney University in Australia are gearing up to launch DeepSouth, a new supercomputer designed to emulate the human brain. DeepSouth aims to overcome limitations faced by traditional computers, particularly their vast energy requirements.

Key Features:

  • Performance: DeepSouth can perform 228 trillion synaptic operations per second, matching the estimated operational capacity of the human brain.
  • Neuromorphic Architecture: It employs a neuromorphic system that closely mimics biological processes and uses hardware specifically designed to efficiently emulate large networks of spiking neurons.

Professor André van Schaik, leading the project, explains that DeepSouth is geared towards simulating how our neural systems and brains compute, rather than just pure number-crunching.

Bio-inspired AI

AI developers have been investing in high-end AI-specific hardware, but this approach is immobile and power-hungry. However, with bio-inspired AI technologies like DeepSouth and neuromorphic chips, this is changing.

Neuromorphic computing seeks to replicate the integrated processing and memory functions of neurons and synapses to address the inefficiency of modern computers due to the separation of memory and processing functions.

Professor Zdenka Kuncic of the University of Sydney highlights the unsustainable power demands of data centers integral to cloud computing. She emphasizes the need for more sustainable solutions, given the enormous energy consumption by data centers.

The potential applications of neuromorphic technology are vast, including enhancing capabilities in remote search-and-rescue operations and deep space exploration.

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