Envisioning an Imperfect World
Outside the tidy binaries of digital computation, the world is a messy place. Few things in life are clearly observable and predictable, whether you’re looking at individual human behavior, traffic, organisms, or the weather. This is a truth that brand-new BU ECE Assistant Professor Wei-Lun (Harry) Chao not only recognizes, but has centered in his research: real-world applications of AI/ML, especially those with significant safety implications, have to take that inherent messiness and imperfection into account.