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A few years ago, AI-generated music was easy to identify. It appeared infrequently, sounded synthetic, and rarely resembled other releases. That is no longer true. Many AI-generated tracks now contain differences that are imperceptible to the human ear but still identifiable through modern detection systems. AI-generated and AI-assisted tracks now move through standard distribution pipelines, […]
This blog post will illustrate the impact of dirty data and why correct labeling is important for increasing the model accuracy.
Hive taps a workforce of 700,000 people to label data and train AI models
This CEO is paying 600,000 strangers to help him build human-powered AI that’s ‘whole orders of magnitude better than Google
