AI mimics human cognitive functions while machine learning is a component of AI, which involves the training of algorithms or models that then give predictions about data it has yet to observe. AI/ML and Robotic Process Automation (RPA) are meant to augment humans in the workforce, not merely replace people with autonomous robots or chatbots. To be effective, federal agencies must strategically organize around the right people, processes, and...

Join NVIDIA and Carahsoft for a free two and half hour virtual workshop geared towards educating technical networking professionals on how to use NVIDIA Cumulus Linux. You'll walk away having already begun using the industry's most innovative network operating system. This is not a sales pitch, but an engaging session with engineering experts who will introduce you to the basics of NVIDIA Cumulus Linux and how to get started building your own...

The data science workflow has traditionally been slow and cumbersome when it comes to loading, filtering, and manipulating data, as well as ML training itself. These processes were constrained to slow, CPU-based computing, and resulted in lengthy cycle times impacting data science productivity. NVIDIA RAPIDS delivers GPU-accelerated machine learning and analytics libraries, deployed on NVIDIA GPU-platforms for maximized data science productivi...

Exploring large datasets can not only be challenging but also time consuming. The data science workflow encompasses ETL - where data is fetched from disparate places, data preparation, machine learning model creation and training, and an evaluation of predicted results. While CPU based computng has historically excelled in exploring data lakes, compute time can often be slow - preventing a developer from having a "conversation" with her data....