👉 Reed computing is a novel approach to machine learning and artificial intelligence that leverages the unique properties of liquid crystal elastomers (LCEs) to perform computations. These materials can change shape in response to external stimuli like light or heat, allowing them to act as artificial neurons and synapses in neural networks. By encoding information in the deformation patterns of LCEs, reed computing systems can process data in a highly parallel and energy-efficient manner. This technology enables the creation of flexible, lightweight, and potentially ultra-low-power computing devices that can operate in environments where traditional silicon-based systems are impractical. Moreover, reed computing offers the potential for on-chip learning and adaptation, making it a promising avenue for developing advanced, adaptive AI systems.
