“The way to think about it is that AI is just the modern way of doing software. In the future, we’re not going to see software that is not going to continue to learn over time, and be able to perceive and reason, and plan actions and that continues to improve as we use it. These machine-learning approaches, these artificial intelligence-based approaches, will define how software is developed in the future. Just about every startup company does software these days, and even non-startup companies do their own software. Similarly, every startup in the future will have AI.”
Today, no one thinks twice about carrying a supercomputer in their pocket. Tomorrow, we won't think twice about that supercomputer being able to learn and evolve.
Nor will this be limited to cloud-based intelligence, resident in powerful, gigantic data centers. Huang notes that we’re now able to apply computing to things where before it made no sense to do so, including to air conditioners and other relatively ‘dumb’ objects.
“You’ve got cars, you’ve got drones, you’ve got microphones; in the future, almost every electronic device will have some form of deep learning inferencing within it. We call that AI at the edge,” he said. “And eventually there’ll be a trillion devices out there: Vending machines; every microphone; every camera; every house will have deep learning capability."
Today, our mobile devices proactively tell us when to leave for work, the best route to take, and how long the trip will be. Tomorrow, our devices will know when we're awake, what mood we're in, recommend breakfast based on our health, alert the car to pull itself around front, and drive us the most efficient route to work.
Source: Darrell Etherington, TechCrunch