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Using Gemini and Google's open model family to solve systems and infrastructure problems

Overview

To ensure the advancement of next-generation computing infrastructure, we invite academic researchers to submit visionary proposals that leverage Gemini and Google's open model family, Gemma. These proposals should focus on advancing systems and infrastructure powering the future of computing. We seek to fund research projects that make significant enhancements in efficiency, security, and sustainability, thereby fostering the reliability and adaptability of future systems.

Details

Application status

Applications are now open.

Submit by July 17, 2024 at 11:59:59pm AoE (UTC-12). Notification of decisions will be announced October 2024.

Submit application
  • Applications open
  • Applications close
  • Notification of proposal decisions

Research topics

Proposals should specifically cover one or more of the following topics:

  • Machine Learning for:
    • Cross-stack optimization, including software and hardware
    • Hardware design, including chips
    • Efficiency, including of code, data, systems, and other relevant subjects

  • Hardware, software or co-designed techniques for efficient serving and training

Award details

Award amounts vary by topic up to $100K USD, and are intended to support the advancement of the professor’s research during the academic year in which the award is provided. Additional cloud credits can be requested.

Funds will be disbursed to the institution under an agreement stating the funding cannot be used for overhead or indirect costs. The agreement will also require that research results, including any code, models, or other intellectual property, be made publicly available under open source licenses, unless otherwise agreed upon in a separate contract between Google and the recipient.

Requirements

Eligibility

  • Open to professors (assistant, associate, etc.) at a university or degree-granting research institution.

  • Applicants may only serve as Principal Investigator (PI) or co-PI on one proposal per round. There can be a maximum of 2 PIs per proposal.

  • Proposals must be related to computing or technology.

Proposals should consider the guidance outlined in our FAQ section.

Review criteria

  • Faculty merit: Faculty is accomplished in research, community engagement, and open source contributions, with potential to contribute to responsible innovation.

  • Research merit: Faculty's proposed research is aligned with Google Research interests, innovative, and likely to have a significant impact on the field.

  • Proposal quality: The research proposal is clear, focused, and well-organized, and it demonstrates the team's ability to successfully execute the research and achieve a significant impact.

  • For research area topics that require the use of a specific product, methodology, or other constraint, we will evaluate your project based on how well it adheres to and utilizes these aforementioned factors, as well as the overall quality of your approach.

FAQs

Listed on GARA landing page.