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Find similar grantsAI Grant Accelerator is sponsored by Nat Friedman and Daniel Gross. AI Grant is an accelerator program tailored for seed-stage AI-native product startups, offering funding and vital resources for growth.
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AI Grant — grants for open source projects Looking for our accelerator program? Check out aigrant. com !
$5,000 - $50,000 in grants for open source projects, no strings attached. Grants can come in the form of compute or cash. abetlen – for their work on llama-cpp-python.
philpax – for their work on the GGUF file format. TySam – for their work on 10-second models. Russell Kaplan and Christopher Sauer , to build and open source an RL agent that learns faster because you can talk to it based on our prototype that beats most other approaches to Montezuma’s Revenge ( paper ).
Kevin Kwok , a fast cross-platform library for hardware-accelerated deep learning in the browser using WebGL ( video ). Jordi Pons , the freesound datasets project ( video ). Patrick Slade , machine learning for motion recognition and trajectory generation of human movement for rehabilitation ( video ).
Oliver Hennigh , predicting steady state fluid flow using deep neural networks ( video ). Manasi Vartak , a system to manage machine learning models ( video ). simulation of many-body quantum systems with neural networks ( video ).
Liam Patrick Atkinson , a neural network to generate puns ( video ). Natalia Mykhaylova , training datasets and source identification algorithms for sensor networks that improve public health ( video ). Mark Wronkiewicz , Majid Mirbagheri and Nicholas Foti , to simulate human brain activity using tools recently development in machine learning ( video ).
Zbigniew Wojna (co-author of Inception-v3, one of the first better-than-humans perception models), object detection and instance segmentation for small objects ( paper ). Flora Ponjou Tasse , turning hand-drawn sketches into 3D objects using generative models ( video ). Radim Rehurek , is going to make gensim (hugely popular open-source library for topic modeling) support many of the latest-and-greatest research papers ( video ).
Byron Knoll, author of cmix , a library that uses deep learning to compress files ( video ). Brian Nord , for using AI to model the physics of strong gravitational lensing ( video ). Samuel Lee , Neal Jean , Tracey Hong and Feiya Shao , Bob Zheng , will make neural networks that detect child abuse in X-Rays ( video ).
Darius Barušauskas , AI to assist doctors interpreting brain stroke scans with 3D Computerized Tomography ( video ). Hannah Davis , creating a dataset of sceneries that evoke different emotional responses ( video ). David Koes , AI that checks for docking of various drugs to accelerate structure-based drug design ( video ).
A. Mira Chung and Hooyeon Lee , use DL to generate art for video games ( video ). Sarah Newman , a series of thought experiments about human values in speculative AI futures ( video ).
Alex Wang , AI that protects you from face recognition systems ( video ). Aidan Gomez , cipher cracking(!) using generative adversarial neural networks ( video ).
Ranjay Krishna , extracting object and relationship classifications from video ( video ). Kaden Hazzard , predicting quantum dynamics from short-time dynamics using machine learning ( video ). Ariel Kanevsky , a DNN algorithm capable of analyzing free tissue transfers and detect abnormal vascular flow within blood vessels ( video ).
Jake Bian , Firebug, for deep learning ( video ). Daniel Soudry , a neural network that predicts the validation error of another neural network ( video ). Tejpal Virdi , John Guibas and Peter Li , use GANs to generate usable and privacy preserving training data.
Ekta Prashnani , a metric to assess image quality consistent with human perception of image quality. Established in 2017 by Nat Friedman and Daniel Gross .
According to the current listing, eligibility includes: Seed-stage AI-native product startups. No credentials required. Focus on technical and pragmatic founders building great products. Must form a Delaware C Corp if accepted. Confirm the full requirements in the official notice before applying.
The current listing shows $250,000 on an uncapped SAFE, plus $350,000 in Azure credits + $250,000 in additional credits. Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI Grant Accelerator is funded by Nat Friedman and Daniel Gross. Verify program details on the funder's official page before applying.
This opportunity targets applicants in Delaware. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
CalSEED Concept Award is a grant from the California Energy Commission that provides $150,000 in funding to early-stage clean energy innovators in California. The program targets individuals, businesses, and nonprofits developing hardware, software, or integrated solutions at Technology Readiness Levels 2-4. Eligible technology areas rotate each cycle and have included battery recycling and reuse, long-duration energy storage, medium- and heavy-duty vehicle electrification, industrial electrification, and advanced EV charging. Applicants must be located in California, have under $1 million in private funding, and propose innovations that benefit California ratepayers. Concept Award winners also receive professional development resources and access to accelerator programs, and may compete for a subsequent $450,000 Prototype Award.
NIST SBIR Phase I - Advanced Manufacturing and Robotics is sponsored by National Institute of Standards and Technology. NIST SBIR Phase I - Advanced Manufacturing and Robotics is a grant from the National Institute of Standards and Technology (NIST) that funds small businesses with innovative research and technology ideas in advanced manufacturing and robotics.