The Cold Start Problem: How We Are Building AI Training Data From Scratch

Every AI system needs data to learn from. When that data does not exist for your target community, you face one of the hardest problems in machine learning. Here is how we are solving it. By Pride Chamisa, Founder of VidSentry There is a problem that sits at the foundation of every AI system built for underrepresented communities, and it does not get talked about enough outside of machine learning research circles. It is called the cold start problem. In its simplest form, it goes like this: to build an accurate AI model, you need high-quality.