I take no pleasure in the fact that the scientific predictions I've relayed to popular audiences turn out to be true.
I figure lots of predictions is best. People will forget the ones I get wrong and marvel over the rest.
Every New Year comes with a list of predictions. Self-predictions, world predictions, how many times Lindsay Lohan will get arrested predictions, etc. I reserve the annual trend for people with genuine psychic ability and/or bloggers.
Thinking things like, 'I will never get hired for this job,' or 'Nobody ever listens to me,' can alter your behavior in a way that makes those predictions come true.
I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.
I'm generally considered a conservative in my predictions for disease.
Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.
Agency by agency, we frequently have lost a bit of ground, at least to inflation-but had it not been for the efforts we've made to educate people about the importance of science, technology and advanced education, those predictions very well might have come true.
And it's interesting, when you look at the predictions made during the peak of the boom in the 1990s, about e-commerce, or internet traffic, or broadband adoption, or internet advertising, they were all right - they were just wrong in time.
I don't like to give predictions but I am the type of fighter who tries to stop his man every time, and that's why I'm such a fan favourite. People know I do the business.
