Meet Ray, the Real-Time Machine-Learning Replacement for Spark

Researchers at UC Berkeley’s RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Called Ray, the framework is ostensibly a replacement for Spark, which is seen as too slow for some real-world AI applications, and should be ready for production use in less

Why Deep Learning, and Why Now

Deep learning is all the rage today, as companies across industries seek to use advanced computational techniques to find useful information hidden across huge swaths of data. While the field of artificial intelligence is decades old, breakthroughs in the field of artificial neural networks are driving the explosion of deep learning. Attempts at creating artificial intelligence go back decades. In

All Eyes On AI in 2017

 This might be the easiest 2017 prediction to make: Artificial intelligence will continue to generate big headlines and command a considerable share of the corporate pocketbook as companies look to bolster their products and services with more automated decision making and human-like qualities. As we start the New Year, one of the big trends that nearly everybody in the big