Deep learning and AI are fundamentally changing the way data is used in computation. They enable computing capabilities that will transform almost every industry, scientific domain, and public usage of data and compute.
The recent success of deep learning algorithms can be seen as the culmination of decades of progress in three areas: research in DL algorithms, broad availability of big data infrastructure, and the massive growth of computation power produced by Moore’s law and the advent of parallel compute architectures.
Deep learning has been employed successfully in such diverse areas as healthcare, transportation, industrial IoT, finance, entertainment, and retail, in addition to high-performance computing.
Examples shown in this video illustrate how the approach works and how it complements high-performance data analytics and traditional business intelligence.
Baidu’s Bryan Catanzaro presents “Deep Learning on GPU Clusters” and why GPUs are perfect for unlocking the power of AI.
In this documentary by NVIDIA, take a closer look at Deep learning: the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text.
Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Every industry will be impacted by deep learning, and many businesses are already delivering new products and services based on this new way of thinking about data and technology.