As our ML models today become larger and their (pre-)training sets grow to inscrutable sizes, people are increasingly interested in the concept of machine unlearning to edit away undesired things like private data, stale knowledge, copyrighted materials, toxic/unsafe content, dangerous capabilities, and misinformation, without retraining models from scratch.| Ken Ziyu Liu - Stanford Computer Science
This is our tenth annual landscape and “state of the union” of the data, analytics, machine learning and AI ecosystem. In 10+ years covering the space, things have never been as exciting and promising as they are today. All trends and subtrends we described over the years are coalescing: data ha| Matt Turck