Machine Learning for video buffering
Pensieve allows the viewer to have ultimate control over their viewing privileges and freedom from high data usage when streaming. It is capable of calculating the optimal algorithm for a perfect playback without buffering, regardless of connection speed.
Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe that AI will be able to predict with an astonishing degree of accuracy some unexpected events, like a decrease in stock prices or the weather, there is a trade-off between the video quality and the frequency of rebuffering.
With machine learning-based technology video buffering will be analyzed. The Pensieve system can analyze your network and give you a personalized version of what will be available when you go to watch your favorite show. It promises to reduce buffering by 30%.
It’s always important to test solutions when they are first implemented. The team can learn from the errors that come up with their AI, and then use that knowledge to improve the system over time.
Gather more information. Continue reading another article about Artificial Intelligence here.
Alternatively, you can find out more about the subject of video buffering on the official site.
Author: PC-GR
The World of Technology
