Description
As artificial intelligence advances, the growing demand for computing performance is outpacing the capabilities of conventional platforms. This widening gap has driven the need for new computing paradigms. Of particular interest are platforms inspired by natural systems, where computation is highly energy-efficient, distributed and adaptive, capable of performing higher-order intelligent tasks. To this end, molecules – with their atomic design, rich physical properties, and multifunctional control – serve as promising building blocks for next-generation computing, where information processing is embedded within the nanoscale material itself. By engineering the complex electrical, ionic, and mechanical properties of molecules and their dynamic tuning, we have developed energy-efficient molecular computing platforms for artificial intelligence applications, which will be discussed in this talk.
