OpenAI, Hyperscalers See GPU Accelerated Future for Deep Learning

As a former research scientist at Google, Ian Goodfellow has had a direct hand in some of the more complex, promising frameworks set to power the future of deep learning in coming years. He spent his first years at the search giant chipping away at TensorFlow, creating new capabilities, including the creation of a new element to the deep learning stack, called generative adversarial networks. And as part of the Google Brain team, he furthered this work and continued to optimize machine learning algorithms used by Google and now, the wider world. Goodfellow has since moved on to the non-profit OpenAI company, where he is further refining what might be possible with generative adversarial networks. The mission of OpenAI is to develop open source tools to further many of the application areas that were showcased this week at the the GPU Technology Conference this week in San Jose, where the emphasis was placed squarely on the future of deep learning, and of course, the role that Nvidia's accelerators will play in the training and execution of neural networks and other machine learning.