AI Grant: Funding Opportunities for AI Innovations

Grants for open-source AI projects at AIGrant.org. Secure funding to develop and advance your AI innovations.

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AI Grant: Funding Opportunities for AI Innovations

Introduction

What is AI Grant?

AI Grant is a grant program that provides funding for open-source projects, offering $5,000 to $50,000 in grants with no strings attached. The grants can be in the form of compute or cash.

Features of AI Grant

  • Grants for open-source projects
  • No strings attached
  • Grants can be in the form of compute or cash
  • Amounts range from $5,000 to $50,000

How to Use AI Grant

AI Grant is open to anyone with an open-source project that needs funding. The program has already supported numerous projects, including those focused on machine learning, deep learning, and artificial intelligence.

Latest Grants

  • abetlen: for work on llama-cpp-python
  • philpax: for work on the GGUF file format
  • TySam: for work on 10-second models

Prior Grants

  • Russell Kaplan and Christopher Sauer: for building and open-sourcing an RL agent that learns faster because you can talk to it
  • Kevin Kwok: for a fast cross-platform library for hardware-accelerated deep learning in the browser using WebGL
  • Jordi Pons: for the freesound datasets project
  • Patrick Slade: for machine learning for motion recognition and trajectory generation of human movement for rehabilitation
  • Oliver Hennigh: for predicting steady-state fluid flow using deep neural networks
  • Manasi Vartak: for a system to manage machine learning models
  • Juan Carrasquilla: for simulation of many-body quantum systems with neural networks
  • Liam Patrick Atkinson: for a neural network to generate puns
  • Natalia Mykhaylova: for training datasets and source identification algorithms for sensor networks that improve public health
  • Mark Wronkiewicz, Majid Mirbagheri, and Nicholas Foti: for simulating human brain activity using tools recently developed in machine learning
  • Zbigniew Wojna: for object detection and instance segmentation for small objects
  • Flora Ponjou Tasse: for turning hand-drawn sketches into 3D objects using generative models
  • Radim Rehurek: for making gensim support many of the latest-and-greatest research papers
  • Byron Knoll: for using AI to model the physics of strong gravitational lensing
  • Samuel Lee, Neal Jean, Tracey Hong, and Feiya Shao, Bob Zheng: for making neural networks that detect child abuse in X-Rays
  • Darius Barušauskas: for AI to assist doctors interpreting brain stroke scans with 3D Computerized Tomography
  • Hannah Davis: for creating a dataset of sceneries that evoke different emotional responses
  • David Koes: for AI that checks for docking of various drugs to accelerate structure-based drug design
  • A. Mira Chung and Hooyeon Lee: for using DL to generate art for video games
  • Sarah Newman: for a series of thought experiments about human values in speculative AI futures
  • Alex Wang: for AI that protects you from face recognition systems
  • Aidan Gomez: for cipher cracking using generative adversarial neural networks
  • Ranjay Krishna: for extracting object and relationship classifications from video
  • Kaden Hazzard: for predicting quantum dynamics from short-time dynamics using machine learning
  • Ariel Kanevsky: for a DNN algorithm capable of analyzing free tissue transfers and detecting abnormal vascular flow within blood vessels
  • Jake Bian: for Firebug, for deep learning
  • Daniel Soudry: for a neural network that predicts the validation error of another neural network
  • Tejpal Virdi, John Guibas, and Peter Li: for using GANs to generate usable and privacy-preserving training data
  • Ekta Prashnani: for a metric to assess image quality consistent with human perception of image quality

Helpful Tips

  • Check out the AI Grant website for more information on the program and how to apply
  • Review the list of prior grants to get an idea of the types of projects that have been funded
  • Consider applying for a grant if you have an open-source project that needs funding

Frequently Asked Questions

  • What is the amount of the grants offered by AI Grant?
    • The grants range from $5,000 to $50,000.
  • What type of projects are eligible for AI Grant funding?
    • Open-source projects focused on machine learning, deep learning, and artificial intelligence are eligible.
  • How do I apply for an AI Grant?
    • Check out the AI Grant website for more information on the application process.