The presentation discusses the use of WebAssembly and edge computing for machine learning models to improve user experience and reduce network costs.
- WebAssembly and edge computing can be used to run machine learning models in the browser and reduce network costs
- Edge computing is ideal for running small models that are single-threaded and require low latency
- WebAssembly can improve user experience by reducing load times and allowing for more memory in the browser
- The content authenticity initiative uses machine learning models to fingerprint images