Artificial Intelligence and Deep Learning Move Toward Mainstream Adoption

Editor’s Note: This report is based on contributions from Jeremy Barnish, Michael Kaplan, Lisa Lahde, Alex Sabatier, Andy Steinbach, and Renee Yao of NVIDIA. It was compiled and edited by Mike Barlow.

The artificial intelligence (AI) revolution is here. It’s happening now, and the world will never be the same. A convergence of technology leaps, social transformations, and genuine economic needs has overcome decades of inertia, lifting AI from its academic roots and propelling it to the forefront of business and industry.

Make no mistake; every nook and cranny of the modern economy will feel the impact of AI. All of the traditional industrial sectors—energy, transportation, telecommunications, healthcare, financial services, manufacturing, mining, logistics, construction, retail, entertainment, education, information technology, government, and all of their various subsectors—will be transformed by the AI revolution.

We are truly at the opening stages of a rare paradigm shift. And we are already experiencing some of the pain that invariably accompanies great shifts in human culture.

How Did We Get Here?

The origins of AI stretch back to the post-World War II era. Visionaries such as Alan Turing, John McCarthy, and Marvin Minsky laid the foundations for AI and created much of the initial buzz around the idea of machine intelligence.

But the technology for creating practical AI systems didn’t exist. What followed ...

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