TECH TIMES | How OneView’s Synthetic Data Improves Machine Learning and the Practical Applications of Imaging Tech
Synthetic data may sound new, but it has been around for decades. As early as the 1930s, there were already efforts to work with synthetic voice and audio. However, it was in the early 1990s when data scientists started exploring the idea of using manufactured data for statistical analysis without infringing on privacy rights.
Fast forward to the present decade and the world is seeing projects like MIT’s Synthetic Data Vault, which is “a one-stop shop where users can get as much data as they need for their projects,” as described in an article on MIT News. This project provides open source tools that expand access to data without compromising privacy.