Enhancing public good through advances in Artificial Intelligence and Quantum Computing

The Research Institute for Advanced Computer Science (RIACS) is dedicated to equitably building national capacity for foundational and use-inspired research in artificial intelligence and quantum computing supporting public good applications.

Environmental Data Science

Environmental Data Science

USRA’s Environmental Data Science group is part of the USRA Research Institute for Advanced Computer Science (RIACS). We conduct a portfolio of research projects applying advanced machine learning, AI, and other data data science approaches to environmental, geological, and biological applications including research on natural disasters, atmospheric and aerosol sciences, astrobiology, space biology, air quality and human health on Earth and in Space. Our researchers are developing innovative approaches to model and predict natural hazards focusing on rapid flood mapping, earthquake early warning, landslide risk monitoring, and wildfire preparedness, response and recovery. We support USGS, NASA, and other academic and governmental sponsors through cooperative agreements and PI awards.

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Quantum Information Science

Quantum Information Science

The mission of RIACS quantum computing team is to advance the industry and the body of knowledge in quantum information related sciences, and to continue to provide to its partners the most qualified technical support to address hard challenges in applied computer science.

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Artificial Intelligence

Artificial Intelligence

USRA has partnered with the Intelligent Systems Division at NASA's Ames Research Center to conduct collaborative research on AI and Robotics.

Current projects include research on planning and scheduling, as well as application of technologies from the mobile phone industry for intelligent systems. For example, this includes collaboration on the SPHERES Smartphone Project, which is part of the NASA Human Exploration Telerobotics Mission.

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Environmental Data Science

Environmental Data Science

USRA’s Environmental Analytics group is part of the USRA Research Institute for Advanced Computer Science (RIACS). We conduct a portfolio of research projects applying advanced machine learning, AI, and other data analytics approaches to environmental, geological, and biological applications including research on natural disasters, atmospheric and aerosol sciences, astrobiology, space biology, air quality and human health on Earth and in Space. Our researchers are developing innovative approaches to model and predict natural hazards focusing on rapid flood mapping, earthquake early warning, landslide risk monitoring, and wildfire preparedness, response and recovery. We support USGS, NASA, and other academic and governmental sponsors through cooperative agreements and PI awards.

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News & Publications

  • High Performance Computing Request for Proposal

    May 2021

    The Universities Space Research Association (USRA) is pleased to invite proposals for University-Led High Performance Computing (ULHPC) Research Projects, to be conducted in collaboration with the NASA Advanced Supercomputing (NAS) Center at NASA’s Ames Research Center (see nas.nasa.gov). This call is open to all accredited universities and colleges in the U.S. acting on behalf of their faculty members.

  • USRA Q2B Applied NISQ Computing Paper Award

    October 18, 2020

    Submissions are open for the first USRA Q2B Applied NISQ Computing Paper Award. Every paper appeared as a preprint in 2020 is eligible for nomination. An additional cover letter/synopsis is required. Prize includes a featured invited presentation at Q2B conference and free compute time on a variety of quantum computing platforms. All info here.

  • Quantum Computing RFP

    September 15, 2020

    USRA, Standard Charted Bank and D-Wave announced that U.S Universities and Non-profit institutions can submit proposals for use of the D-Wave 2000Q quantum annealer hosted at NASA Ames. Proposals are sought effective immediately and can gain free compute time to be used until December 2020. See the request for proposals for more details.

  • Quantum Group Publications

    Publications from the team in the last 12 months.

    The team works primarily with NASA Ames Quantum AI Laboratory led by Eleanor G. Rieffel under the NASA Academics Mission Services Contract. It is supported as well by the National Science Foundation SpecEES and Expeditions in Computing program and by the DARPA ONISQ program.

  • 7th International Adiabatic Quantum Computing (AQC) Conference - 2018

    June 25 - 28, 2018

    Adiabatic Quantum Computing (AQC) and Quantum Annealing are computational methods that have been proposed to solve combinatorial optimization and sampling problems. Several efforts are now underway to manufacture processors that implement these strategies. The AQC 2018 Conference brings together researchers from different communities to explore this computational paradigm. The goal of the conference is to initiate a dialogue on the challenges that must be overcome to realize useful adiabatic quantum computations in existing or near-term hardware.

  • RIACS 25th Anniversary Timeline

  • RIACS 25th Anniversary Brochure