Why in news
Researchers at the Indian Institute of Science (IISc) have developed a brain-inspired analog computing platform
It is capable of storing and processing data in an astonishing 16,500 conductance states within a molecular film.
This breakthrough represents a step forward over traditional digital computers in which data storage and processing are limited to just two states
What is Neuromorphic Computing?
Neuromorphic computing mimics the brain's architecture and processes to perform computations.
It involves designing systems that can store and process data similarly to how the human brain operates.
Uses analog computing techniques and molecular systems to create numerous conductance states, enhancing data processing and storage efficiency.
Differences from Traditional Computing
Traditional computing uses binary (0s and 1s) for data, while neuromorphic computing uses multiple conductance states within a molecular system.
Neuromorphic computing is more energy-efficient for AI tasks, reducing both time and power consumption compared to traditional digital computers.
Traditional computers perform calculations sequentially, often consuming significant energy.
Neuromorphic computing can process and store data more efficiently by mimicking brain-like parallel processing and storage.
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