Waiting for a video to buffer may become an annoyance of the past. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are working on streaming algorithms that use AI to improve load rates and, thus, reduce buffering. Dubbed Pensieve, the new technology relies on machine learning to navigate the often-chaotic and ever-changing conditions of networks in real-time, based on a system of rewards (when the video loads smoothly) and penalties (when it’s interrupted). Meanwhile, Netflix is working on its own AI solution to address buffering. Continue reading MIT and Netflix Testing AI-Based Algorithms to Curb Buffering

Netflix needed a way to improve video streaming quality for consumers in emerging economies watching movies and TV shows on the go. The company came up with a new method for video encoding called Dynamic Optimizer that reduces the amount of data in the video file without losing image quality. The Netflix team trained an AI to compress the video specifically based on the complexity of a given scene. The Dynamic Optimizer system expected to roll out in the coming months. Continue reading Netflix Develops AI to Help Optimize Video for Mobile Devices