What’s New:

August 2024

RNET has recently been awarded a NASA Phase I STTR to develop lightweight Neural network models to identify, track, and aggregate lightning event data onboard satellite platforms.

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July 2024

RNET has recently been awarded a NASA Phase II SBIR to develop a Rapid Data Analytics Platform using machine learning uses a novel dimensional reduction algorithm.

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August 2023

RNET has recently been awarded a Department of Energy Phase II SBIR to develop a Machine Learning Based Data Compression (MLDC) algorithm for numeric simulation data.

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June 2023

RNET has recently been awarded an NIH Phase II SBIR to design and develop Machine Learning tools to help Pathologists overcome the limitations of current computing hardware to design more accurate deep learning models for use in clinical diagnostics. These models will be able to analyze very large digitized images of glass slides (i.e., Whole Slide Images) to aid pathologists in tasks like cancer detection. The ability to analyze these images in their entirety instead of in small parts will improve the diagnostic accuracy of models and will accelerate algorithm development efforts.

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