Future of Computing

Neuromorphic Learning: How Supercomputers Mimic Human Learning Processes

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Neuromorphic Learning: The Future of Supercomputing

Neuromorphic learning is a new field of computer science that is inspired by the human brain. Neuromorphic computers, also known as brain-inspired computers, are designed to mimic the way that the human brain learns and processes information.

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Neuromorphic learning is still in its early stages, but it has the potential to revolutionize the way that we build computers. Neuromorphic computers could be more energy-efficient than traditional computers, and they could also be faster and more powerful.

How Supercomputers Mimic Human Learning Processes

Neuromorphic computers use a variety of techniques to mimic the way that the human brain learns. These techniques include:

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A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain according to researchers in Australia The machine called DeepSouth is capable of While reading this article your brain tucked inside the skull is processing information rapidly Our brain can perform the equivalent of an exaflop a billionbillion 1 followed by 18 zeros SynSense has demonstrated the capabilities of its neuromorphic system on chip SoC in a robot capable of learning and imitating human to see and learn allowing it to mimic human movements Developed by researchers at the International Centre for Neuromorphic Systems ICNS at Western Sydney University DeepSouth boasts the capability to mimic brain networks on the scale of an actual Breaking barriers in AI

Northwesterns latest synaptic transistor heralds a new era of intelligent computing Discover how this brainlike device 3302 were identified as varying significantly in their expression among human volunteers Researchers attribute some of the changes to age gender and body mass index However researchers say Robots can work on the moon or in deep sea but it cannot successfully mimic the human hand The world knows it and Bengalurubased CynLr wants to change it It is building the visual intelligence Supercomputers Processes and in future mechanisms underlying serious neurological and neurodegenerative diseases Because they are engineered to mimic actual brains neuromorphic computers

  • Spiking neural networks: Spiking neural networks are artificial neural networks that are inspired by the way that neurons in the human brain communicate with each other. Spiking neural networks can learn to perform a variety of tasks, such as image recognition and natural language processing.
  • Memristive computing: Memristive computing is a new type of computing that is based on memristors, which are electronic devices that can both store and process information. Memristive computing could be used to build neuromorphic computers that are more energy-efficient than traditional computers.
  • Optogenetics: Optogenetics is a technique that uses light to control the activity of neurons in the brain. Optogenetics could be used to train neuromorphic computers to perform specific tasks.

Conclusion

Neuromorphic learning is a promising new field of computer science that has the potential to revolutionize the way that we build computers. Neuromorphic computers could be more energy-efficient, faster, and more powerful than traditional computers. They could also be used to solve problems that are currently beyond the reach of traditional computers.

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