The Energy Demands of Artificial Intelligence and Potential Solutions

Artificial intelligence (AI) presents a significant energy demand due to the massive data it requires, akin to transporting billions of books between memory and processor chips, consuming substantial electricity. However, efforts have emerged to address this energy challenge by designing chips capable of processing data where it's stored. This approach is likened to doing work directly at the library rather than bringing the books home. Stanford University professor, Philip Wong, and expert in memory chips, highlights the potential of this approach. The quest for more energy-efficient AI technologies is driving interest in innovative chip designs.