Scientists at the Indian Institute of Science (IISc) have developed a groundbreaking brain-inspired analog computing platform that can store and process data using 16,500 unique conductance states in a molecular film. Unlike traditional digital systems, which rely on binary states (0 and 1), this platform allows for far more efficient data storage and processing, opening the door to faster and less energy-intensive computations.

This innovation could revolutionize AI hardware, enabling complex tasks like training large language models (LLMs) on personal devices rather than relying on resource-heavy data centers.

The technology leverages neuromorphic computing principles, closely mimicking how the human brain processes information. The research team, led by Assistant Professor Sreetosh Goswami from IISc's Centre for Nano Science and Engineering (CeNSE), believes this could mark a major leap forward in AI development.

The breakthrough comes at a time when traditional silicon-based electronics are reaching their limits, and innovations in neuromorphic accelerators, like this one, could push AI hardware capabilities to new heights.