
AI’s Fuzzy Logic: Why a Little Noise Makes Algorithms Work Better
Imagine a world where the most frustratingly unpredictable systems – those that feel entirely chaotic – suddenly become elegantly predictable. That’s the promise of a new research paper from the University of Oxford, exploring how adding a tiny bit of randomness to seemingly chaotic online algorithms can dramatically improve their performance. This isn’t about tweaking…