Summary:

- Researchers have developed a new technique that can reduce the energy consumption of AI systems by up to 95%.
- The technique, called "Sparse Transformer", involves sparsifying the attention mechanism in transformer models, which are widely used in AI and machine learning.
- This significant reduction in energy usage could have major implications for the deployment of AI in energy-constrained environments, such as mobile devices and edge computing applications.