Beyonce is at the top of her game, and diet has a lot to do with it. Recently, Beyoncé gave her first major public performance since giving birth to twins. Forty-four days before her Coachella performance, she announced via Instagram that she was going vegan ahead of the show. She also changed the link on her Instagram bio (apparently for the first time) to her new vegan meal planner so others could eat like her as she prepared for the event. And it seems that her decision to go vegan paid off.

Beyonce is at the top of her game, and diet has a lot to do with it. Recently, Beyoncé gave her first major public performance since giving birth to twins. Forty-four days before her Coachella performance, she announced via Instagram that she was going vegan ahead of the show. She also changed the link on her Instagram bio (apparently for the first time) to her new vegan meal planner so others could eat like her as she prepared for the event. And it seems that her decision to go vegan paid off.

It may well turn out, as technologists are already suspecting, that AI makes everything better. But plenty of startup founders are still in the experimental phase of figuring out whether -- or maybe how much -- machine learning can improve an existing app category. The label that will probably end up being prefixed here is'smart'. Here's one example: FitGenie, an iOS app whose ex-Georgia Tech co-founders bill it as a "smart calorie counter" -- on account of applying machine learning algorithms to simplify nutrition planning for people wanting to achieve a certain weight or fitness goal. "Our self-adjusting diet algorithm is based on a model we created that maps and forecasts the progress of an individual user and makes intelligent weekly adjustments based on the data we gather," says co-founder Keith Osayande, explaining how it's applying AI to calorie counting.