Available Technologies

AL/ML framework for fiber line optimization which integrates new imaging and sensing capabilities into a fiber sizing line.

X-ray imaging can be used for quality inspection of manufacturing processes to identify interior defects, such as porosity and cracks.

Gram-negative bacteria continually alter their membrane structure in response to environmental conditions, growth media, and interactions with material surfaces.

Manufacturers increasingly rely on data from CNC machines to improve productivity, monitor performance, and predict maintenance needs.

FACT-DC aims to provide decision support for governments and utilities by identifying feasible places for data centers that maximize affordability, resilience, and resource availability.

This technology introduces an unsupervised machine learning framework that automatically identifies and classifies power system faults without requiring labeled data.

Atomic force microscopy (AFM) is a powerful tool for nanoscale characterization, but it is limited by slow scanning speeds, small imaging areas, and the need for expert operation both during image acquisition and post-processing.

The increasing frequency and severity of wildfires, driven by climate change and aging electrical infrastructure, has created urgent challenges for communities, utilities, and ecosystems.

Technologies are described directed to multi source query tool for energy grid based on large language models to understand energy reliability, resilience and affordability. 

Electronic Navigational Charts (ENC) are geospatial vector datasets used in maritime navigation systems that represent hydrographic and navigational information such as depths, navigational aids, and hazards.