All posts in AI

a16z-podcast

Taking the Pulse on Bio

This is yet another reaction to a16z podcast. As a CEO of digital health startup, I could not miss this one. Bioengineering can also benefit from unsupervised learning approach as discussed in another a16z podcast by letting AI show us the unique features that lead to a theory (or CRISPER) rather than having a human ‘guess’ it. There is no doubt that quantum computing will play an important role here in Read More...

a16z Podcast: AI, from ‘Toy’ Problems to Production

This is my reaction to a16z Podcast: AI, from ‘Toy’ Problems to Production. I like this “end of theory” approach. Some businesses might not need a theory about what’s correct outcome will look like. In other words, AI deployment in the future will always start with unsupervised learning, let the AI tell us unique features, and then define a problem to solve from what the algorithm told us. Plus, it’s no Read More...