Agriculture and Geospatial | Biotech | Cleantech | Infotech
AGRICULTURE AND GEOSPATIAL Geospatial Big Data Architecture and Engineering for Analytics Beginning in Q4 2016 we began implementing a big data pipeline for a major biotech/agricultural services company. It incorporated a variety of geospatial data sources and was cloud-based.
AGRICULTURE AND GEOSPATIAL Deep Learning for Image Analytics In Q3 2017 we began planning and implementing deep learning software for an early-stage startup. The software was to run on a variety of remotely sensed image sources, to include drone imagery.
BIOTECH/BIOINFORMATICS 3D Genome and Proteome Visualization We used open-source software to provide a visualization mechanism for generated genome and proteome data, providing a unique way of visualizing the underlying connections between segments of the data.
BIOTECH/PHARMACEUTICAL Molecular Discovery In Q4 2018 we developed a deep reinforcement learning system for finding similarly-structured molecules to a particular molecule. We then adapted this system to find molecules with high binding affinities to a particular molecule.
CLEANTECH AI-Driven Aerosol Monitoring System In Q2 2018 we submitted plans for a system that would determine concentrations of particulate matter using input from an ultra-small NIR sensor. The system would use deep learning to compare sensor output with labeled data from an accurate sensor.
INFOTECH Artificial Intelligence-Guided Navigation in Virtual Reality We submitted plans for a system that would enable users to intelligently navigate a 3D environment to carry out mission objectives using AI-driven VR software. We also built out such a system and used it to navigate a virtual 3D environment.
INFOTECH AI-Driven Moderation Helper We developed an AI application to monitor Facebook groups, analyze content for problematic communication (profanity, hate speech, disruption), and to report that content to a public channel for moderators to investigate.