Machine Learning and Data Sciences Lab at RCC

Recent advances in hardware along with the successful application of natural language processing, image classification, speech synthesis, and other creative uses of computing power have driven a new field of computer science: machine learning (or data science). RCC is committed to supporting these applications.

The Machine Learning and Data Science Lab at the RCC offers tools and expertise to serve the FSU research community. Our systems provide researchers and learners the opportunity to leverage cutting-edge Data Science tools and powerful Supercomputing technologies, including Parallel Programming and GPUs, to gain new insights from their data. Some of our featured tools include:

  1. PyTorch
  2. Tensorflow
  3. HADOOP
  4. R
  5. OpenCV

RCC also offers UROP projects which combine Data Science and High-Performance Computing with interesting and important applications across the academic disciplines. These projects offer undergraduate students the chance to get involved in cutting-edge research, which leads to poster presentations and often to publications in respected academic journals.

RCC also maintains benchmarks of popular data science applications.

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