Posted: 02-06-2024

Location: U.S. Army Combat Capabilities Development Command-Aberdeen Proving Ground

Level: Graduate Student

General Topic: Computer Science    

Description of Research: Advances in AI/ML over the last 10 years have led to superhuman performance of classifiers operating on image and video streams. More recent advances in unsupervised training for foundation models such as large language models have led to impressive zero-shot learning results. Neuro-symbolic approaches provide mechanisms to combine prior knowledge as rules with data-driven learning enabling effective performance using small training datasets. While much research in these areas have focused on computer vision, less attention has been devoted to less power hungry sensing assets such as acoustic and seismic sensors. This project intends to incorporate prior knowledge such as physical constraints into data-driven learning, possibly leveraging foundation models to develop better performing acoustic and/or seismic target detectors/classifiers.

  • Find a Volunteering Opportunity

    Visit our Program Volunteers page for a tool to find the best opportunity for you.

    BROWSE OPPORTUNITIES

  • eCYBERMISSION Grants

    The eCYBERMISSION Mini-Grant is intended to support teachers/program leaders as they implement eCYBERMISSION with their teams. Educators (formal and informal) of students in grades 6-9 are encouraged to apply. Special consideration is given to Title 1 schools and to those with underserved/ under-represented populations.

    LEARN MORE

  • Latest AEOP News

    Request for Proposal: New evaluation partner needed to support the development and management of program evaluations, April 3, 2024

    See Story

  •