Tiny quantum nanostructures could make AI less of an energy hog

AI Summary

Engineers at the University of Wisconsin–Madison have developed quantum nanostructures that could enable optical neural networks, potentially reducing AI's energy consumption significantly. This advancement may enhance the efficiency and speed of AI systems including large language models and image generators.

Engineers at the University of Wisconsin–Madison have designed a new type of quantum nanostructure that could enable optical neural networks. This emerging technology has the potential to make artificial intelligence systems, like large language models and image generation, faster and significantly more energy efficient.