Deep Learning stands to benefit from data analytics and High Performance Computing (HPC) expertise

As I noted in a February blog post, many enterprises today need solutions that couple high-performance computing with data analytics. This convergence of technologies is blurring the boundaries between HPC and big data, and clearing the way forward for the advent of high-performance data analytics (HPDA). In a parallel trend, enterprises increasingly need solutions that merge technologies for machine learning and deep learning -- a need I will explore more deeply in today's post. Machine learning was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks. Researchers interested in artificial intelligence (AI) wanted to see if computers could learn from data and the process of iterative training on new data sets.