Award Data

We propose a high-impact innovation for weather forecasting that integrates global ensemble weather forecasts with an AI-driven post-processing model of extreme weather indices. This innovation will provide the basis for skillful probabilistic forecasts of compound extreme weather events at extended lead times. Extreme weather/climate events of relevance to electric utilities focused on in Phase I ...

Soldiers conducting missions on foot in remote locations must carry multiple battery powered electronic devices, such as multiband radio sets, night vision goggles and scopes, GPS tracking, thermal imagers, target designators, etc. These devices allow soldiers to target, move, and communicate in the modern battlefield. Depending upon the type of mission and its duration, soldiers might not have th ...

CBD seeks a solution that can improve the speed and automation of the processing workflow to generate inputs for use with CONTAM and other aligned tools such as extended reality (XR) platforms. The analytical focus is on assessing the transport and dispersion (T&D) of airborne contaminants and associating these with other risks and predictions for what is generally termed “Multizone Airflow and ...

WISER Systems, Inc. is a small, woman-owned, disadvantaged business providing best-in-class real-time location systems (RTLS) for nearly any environment. WISER’s RTLS powers applications in aerospace, manufacturing, warehousing, yard management, and many other industries. Unlike GPS-based solutions, WISER’s Redundant Radio Localization and Tracking (RRLT) technology enables autonomous position ...

Anuma Aerospace seeks to develop the conceptual design for, and determine the technical and economic feasibility of, a Persistently-Elevated, Gas-free, Aerostatic Sensor Utility System (PEGASUS), which will work like a data buoy in the sky, continuously collecting and transmitting weather data from the marine atmospheric boundary layer (ABL) with the data being made available via application progr ...

In Phase I we developed a software capability for predicting the future positions of ocean drifters. We demonstrated the capability to predict drift for objects of varying shapes and train models based on historical observations. In Phase II we will leverage this software to perform high volume experimentation through which we will fully develop trained models using historical data for both passiv ...

We propose AI capabilities that improve modeling complex ocean dynamics and assist in the logistical management and planning of uncrewed deployment campaigns. Uncrewed sensor platforms sense and collect data for many interests, including tracking chemical and biological tracers, assimilating ocean dynamics observations into forecast models, and enhancing naval situational awareness. The recent eme ...

Bunyaviruses are the largest family of viruses, which composed of more than 300 of members, several family members including Hantaan virus, Sin Nombre virus Rift Valley Fever virus, Severe Fever with Thrombocytopenia Syndrome virus, and Crimean-Congo Hemorrhagic Fever virus are posing significant threats to the warfighters (and civilians as well). Unfortunately, there are no vaccines for human use ...

NOAA has used historical documents such as ship logs and many other resources to collect weather data critical to modeling global and regional climate and weather conditions. To date, the optical character recognition (OCR) technology developed over the past three decades remains limited in the ability to recognize handwriting and reliably extract text in context. Machine Learning (ML) algorithms ...

This Phase I SBIR Project proposes the development of a novel Yeast-Based Biosensor for detecting pathogenic microbes in aquaculture water. Diseases due to bacteria and viruses cost aquaculture producers tens of millions of dollars annually in lost production. Early detection of the microbes that cause these diseases is the key to stopping the spread of the disease and limiting losses. Current tes ...