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Google's Gemma 4 Developer Agent Competition on Kaggle, launched 23 September 2026, challenges entrants to post-train Gemma 4 open models into autonomous coding agents. The agents must run offline on consumer hardware, navigate large codebases and draft fixes for real software issues. Fine-tuning, including LoRA, and reinforcement learning are encouraged, and one submission is allowed per day.
The $110,000 prize pool covers a main leaderboard track paying $37,000, $18,000 and $10,000 for the top three. A separate paper track carries $35,000 with its own 12 November 2026 deadline. A $10,000 bonus goes to the best agent built on the smaller Gemma E2B or E4B models.
Winning solutions are released under Apache 2. 0, and top entries may be featured at a Google-hosted event such as a NeurIPS expo workshop. The entry deadline is 25 November 2026, and final submissions are due 2 December 2026 at 11:59 PM UTC.
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Or search similar grants →According to the current listing, eligibility includes: Individuals or teams of up to five worldwide, aged 18+ (or age of majority) with a Kaggle account; sanctioned jurisdictions excluded. Confirm the full requirements in the official notice before applying.
The current listing shows $110,000 total; main track $37,000/$18,000/$10,000, paper track $35,000, $10,000 bonus for best Gemma E2B/E4B agent. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Google Gemma 4 Developer Agent Competition on Kaggle for Offline Open-Model Coding Agents are due December 2, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Google Gemma 4 Developer Agent Competition on Kaggle for Offline Open-Model Coding Agents is funded by Google LLC / Google DeepMind (hosted on Kaggle). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Amazon Research Awards gives unrestricted gifts to academic researchers working on topics Amazon cares about. The Fall 2026 call covers nine topics: Agentic AI; AI for Information Security; Amazon Security (using AI on hard security problems); Automated Reasoning for systems assurance by mathematical proof; AWS Cryptography; Build on Trainium (agentic recursive improvement of kernels and frameworks); Multilingual and Contextual AI Evaluation; On-Device Multimodal Perception; and Synthetic Data Generation for Multimodal Perception. Awards go to the PI's academic institution or organization. Recipients are encouraged to publish their results and open-source related code, and each is assigned an Amazon research contact. Amazon extended the Fall 2026 submission deadline to November 11, 2026. Each topic has its own CFP page with amounts and eligibility details.
The Enveda CASMI 2026 competition on Kaggle is the 2026 Critical Assessment of Small Molecule Identification challenge. It launched on 14 September 2026 and is sponsored by Enveda Therapeutics. Entrants build machine-learning models that predict 2D chemical structures, as SMILES strings, from LC-MS/MS tandem mass spectra of natural products in complex biological extracts. Models must handle both known and novel molecules, going beyond spectral library matching. The stated applications are drug discovery and finding disease biomarkers. The $50,000 prize pool pays $16,000, $12,000, $9,000, $7,000 and $6,000 to the top five teams. Winning solutions are released under the MIT licence, and the data is limited to competition and non-commercial academic use under CC BY-NC 4.0. The entry deadline is 7 December 2026, and final submissions are due 14 December 2026 at 11:59 PM UTC.
The Google for Startups Cloud Program provides Google Cloud and AI compute credits to early-stage companies, with a dedicated AI-first track offering up to 350,000 US dollars in credits to startups building AI-first products, substantially above the up to 200,000 dollars available through the general Scale tier. The programme is a rolling, always-open offering rather than a deadline-driven competition, with applications made through the Google Cloud startups website and decisions returned relatively quickly, which makes it one of the more accessible sources of substantial compute for an AI company without a research affiliation. Eligibility for the AI-first track centres on company age and funding stage rather than on technical merit: the commonly published criteria require the company to have been founded within the last five years and to be at pre-seed or seed stage within five years, or to have raised a Series A within the preceding twelve months, together with an AI-first product. The practical consequence is that this is a window that closes, and an AI company more than a year past its Series A has typically aged out of the largest tier, which argues for applying earlier than a team might otherwise think necessary. Credits are usually accompanied by technical support, training resources and access to Google Cloud's startup technical team. Because terms, tier names and credit amounts are revised periodically and are not always published consistently across Google's pages, applicants should confirm the current offer directly with Google Cloud rather than relying on third-party summaries.
On October 29, 2026, Gina Raimondo and Eric Holcomb's RAISE US added Apple, AT&T, Google, Walmart and the Bezos family as backers, bringing commitments above $735 million toward a $1 billion multi-year goal. It is a 501(c)(3), with no open call, working through four partner states, employer pilots, a Policy Lab and named partnerships. Here is how it differs from All In For Jobs, where the money is going, and how workforce boards, colleges and nonprofits can get positioned.
Read articleOn October 14, 2026 Google.org announced 17 recipients sharing $36 million from the Impact Challenge: AI for Science. The winner list reveals exactly what the reviewers rewarded — and it is not what most nonprofit applicants assumed a philanthropy open call would fund.
Read articleOn October 7, 2026, Biohub, DOE, NIH, Google DeepMind, Isomorphic Labs and Meta committed $1.8 billion to build AI-ready biological data. More than $500 million of it is DOE money flowing through the Genesis Mission, and NIH's share is data rather than dollars. There is no NOFO — here is where the applyable money actually sits.
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