Every artificial intelligence startup or corporate R&D lab has to reinvent the wheel when it comes to how humans annotate training data to teach algorithms what to look for. Whether it’s doctors assessing the size of cancer from a scan or drivers circling street signs in self-driving car footage, all this labeling has to happen somewhere. Often that means wasting six months and as much as a million dollars just developing a training data system.
Learn more about your ad choices. Visit podcastchoices.com/adchoices
Fler avsnitt av TechCrunch Startup News
Visa alla avsnitt av TechCrunch Startup NewsTechCrunch Startup News med TechCrunch finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.
