Read these helpful explainers for an overview of AI, deep learning, and GPU-accelerated applications:
GPUs break complex problems into thousands or millions of separate tasks and work them out at once. GPUs have sparked an AI boom, become a key part of modern supercomputers and continue to drive advances in gaming and pro graphics.
The easiest way to think of their relationship is to visualize them as concentric circles with AI — the idea that came first — the largest, then machine learning — which blossomed later, and finally deep learning — which is driving today’s AI explosion — fitting inside both.
Deep learning refers to algorithms—step-by-step data-crunching recipes—for teaching machines to see patterns. That gives computers uncanny capabilities. Such as the ability to recognize speech—and translate it to another language on the fly.