MADISON, Wis. — Deep learning is “transforming computing” is the message that Nvidia hopes to hammer home at its GPU Tech conference. On that theme, Nvidia has styled itself as a firebrand, catalyst and deep learning enabler and — in the long run — a deep profiteer.
Among the telltale signs that Nvidia is betting its future on this branch of artificial intelligence (AI) is the recent launch of its “Deep Learning Institute,” with plans increase the number of developers to 100,000 this year. Nvidia trained 10,000 developers in deep learning in 2016.
Over the last few years, AI has made inroads into “all parts of science,” said Greg Estes, Nvidia’s vice president responsible for developer programs. AI is becoming an integral component of “all applications ranging from cancer research, robotics, manufacturing to financial services, fraud detection and intelligent video analysis,” he noted.
Nvidia wants to be known as the first resort for developers creating apps that use AI as a key component, said Estes.
“Deep learning” is in the computer science curriculum at many schools, but few universities offer a degree specifically in AI.
At its Deep Learning Institute, Nvidia plans to deliver “hands-on” training to “industry, government and academia,” according to Estes, with a mission to “help developers, data scientists and engineers to get started in training, optimizing, and deploying neural networks to solve the real world problems in diverse disciplines.”
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