AI was going to save us from the pandemic but it failed for a simple reason

The AI community leapt into action, excited by the prospect (and boost) it would get if it worked. If you use multiple data sets to train AI, then you will be training it on ‘muddy’ data, with duplicates and inconsistent formats. And, in some cases, experts were using the same data to train AI and asking it to evaluate it as a data set. They did not have COVID, yet it was used to teach AI tools to identify what the disease looked like. The AI community will recover, and there are more AI healthcare startups than in any other sector, according to NVIDIA in this blog post.

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