The concept of a 'job' is pretty recent. If you go back a few hundred years, everyone was either a slave or a serf, or living off slave or serf labor to pursue science or philosophy or art.

The deep learning techniques, while relatively easy to learn, are quite foreign to traditional engineering modalities. It takes a different mindset and a relaxation of the presumption of control. The practitioners are like magi, sequestered from the rest of a typical engineering process.

Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry.

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.

Once I got done with my career, I knew in my soul that I don't have any negative thoughts about myself.

I always want to win, and it was time to win some club prizes, some titles. I never would have gone for the money, but wanted the chance to get a bit further in my career. And it turned out to be the right decision.

As you get older, I think everyone feels that, no matter what the job: to try a hand at running the business as opposed to simply being an employee.

With due apologies to Shakespeare, some people are born writers, some people achieve it after a lot of hard work, some people have a writing career thrust upon them. I am in that last group.