https://unitedstatesofamericasuperintelligence.com/companies/google-deepmind/ Dated, sourced news items in the USASI catalog that mention Google DeepMind. Independent project. Not a United States government website. en-us Tue, 13 Oct 2026 12:00:00 GMT https://unitedstatesofamericasuperintelligence.com/news/google-releases-embeddinggemma-2/ https://unitedstatesofamericasuperintelligence.com/news/google-releases-embeddinggemma-2/ Wed, 07 Oct 2026 12:00:00 GMT release On October 6, 2026 Google announced EmbeddingGemma 2, a multimodal embedding model built on the Gemma 4 architecture. The announcement says the model maps text, code, images, video, and audio into a shared embedding space, contains 740 million parameters, and produces 768-dimensional vectors that can be truncated to 512, 256, or 128 dimensions using Matryoshka Representation Learning. Google says the weights are released under the Apache 2.0 license and are available on Hugging Face and Kaggle, with on-device variants in the LiteRT Community on Hugging Face. USASI has a release record for the earlier EmbeddingGemma 300M; a record for this release has not yet been added. https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-releases-alphaprotein-novo/ https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-releases-alphaprotein-novo/ Tue, 13 Oct 2026 12:00:00 GMT release Google DeepMind published AlphaProtein Novo (AP Novo), a generative diffusion pipeline for de novo enzyme design through structural motif scaffolding, in a GitHub repository whose commits are dated from October 5, 2026. The README says the diffusion model co-generates protein structures and sequences conditioned on a catalytic motif and ligand context, and that it can be combined with LigandMPNN sequence redesign and AlphaFold 3 structure prediction; it points to a bioRxiv preprint describing the work. The software is licensed under Apache 2.0, but the generator weights are downloaded separately under terms of use, last modified October 5, 2026, that allow only non-commercial use by, or on behalf of, non-commercial organizations. USASI has not tested AlphaProtein Novo. https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-releases-synthid-bio/ https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-releases-synthid-bio/ Tue, 13 Oct 2026 12:00:00 GMT research On September 30, 2026 Google DeepMind introduced SynthID Bio, a family of watermarking methods for AI-generated protein sequences and 3D structures, which it describes as a proof of concept. The repository README says SynthID Bio-sequence adds watermarked sampling to ProteinMPNN, and the announcement says SynthID Bio-structure fine-tunes a small part of AlphaFold 3's diffusion network so that predicted coordinates carry a detectable signature. Google DeepMind says it is publishing a methods paper, open-sourcing the code and in vitro data, and releasing weights to the research community. In the public repository, the software is licensed under Apache 2.0, the in vitro validation data supporting the paper is licensed under CC BY 4.0, and AlphaFold 3 model parameters remain under the AlphaFold 3 terms of use. USASI has not tested SynthID Bio. https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-launches-alphagenome-atlas/ https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-launches-alphagenome-atlas/ Tue, 13 Oct 2026 12:00:00 GMT research On September 8, 2026 Google DeepMind introduced AlphaGenome Atlas, a resource of precomputed AlphaGenome predictions for the effects of single-nucleotide variants, covering every possible single-letter change in the human genome. The announcement says Atlas is detailed in a paper and is available through a free website portal for non-commercial academic research, through the AlphaGenome API, and as a skill in Google Antigravity, with commercial use on Google Cloud planned. Alongside it, Google DeepMind released the AlphaGenome Variant Impact (AVI) score, which combines AlphaGenome and AlphaMissense predictions into a single number per variant; Atlas also includes AVI feature attributions and a collection of recurrent DNA sequence motifs. USASI has not tested AlphaGenome Atlas. https://unitedstatesofamericasuperintelligence.com/news/google-introduces-weathernext-3/ https://unitedstatesofamericasuperintelligence.com/news/google-introduces-weathernext-3/ Tue, 13 Oct 2026 12:00:00 GMT release On September 3, 2026 Google DeepMind and Google Research introduced WeatherNext 3, a global weather forecasting model that ingests live geostationary satellite data and produces a new forecast every hour. The announcement says it resolves some surface variables at 5-kilometer resolution, other surface variables at 10 kilometers, and atmospheric variables at 25 kilometers, and adds forecasts of 100-meter wind speeds and solar radiation for renewable energy planning. Google says WeatherNext 3 begins powering weather features in Search, the Gemini app, Google Maps, the Google Maps Platform Weather API, and Google Earth Engine, and that its forecast data can be queried in BigQuery and Earth Engine or downloaded in bulk from Google Cloud Storage. The announcement links to a paper and does not describe a release of model weights. USASI has not tested WeatherNext 3. https://unitedstatesofamericasuperintelligence.com/news/google-releases-gemini-3-8-flash-and-flash-cyber/ https://unitedstatesofamericasuperintelligence.com/news/google-releases-gemini-3-8-flash-and-flash-cyber/ Tue, 13 Oct 2026 12:00:00 GMT release On September 2, 2026 Google introduced two Gemini 3.8 models, which it says share the same foundational intelligence: Gemini 3.8 Flash, which Google says improves on 3.7 Flash in software engineering, agentic tasks, and multi-step reasoning, and Gemini 3.8 Flash Cyber, a cybersecurity model for vulnerability detection and automated patching. Google says developers can use 3.8 Flash in the Gemini API through Google AI Studio and Android Studio, and that it is available to Google AI Pro and Ultra subscribers in the Gemini app. Gemini 3.8 Flash Cyber ships with more permissive cybersecurity mitigations and is offered only to trusted defenders through Google's new Fairwind Program. Both are hosted models; no release of weights is described. USASI has not tested them. https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-introduces-gemini-robotics-2/ https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-introduces-gemini-robotics-2/ Tue, 13 Oct 2026 12:00:00 GMT release On July 30, 2026 Google DeepMind introduced Gemini Robotics 2, a set of three models: Gemini Robotics 2, a vision-language-action model that Google DeepMind says can control full humanoids and bi-arm robots; Gemini Robotics ER 2, an embodied reasoning model that plans multi-step tasks and coordinates several robots; and Gemini Robotics On-Device 2, a vision-language-action model optimized to run locally on robots. The announcement says Gemini Robotics ER 2 is available on Google AI Studio and in private preview on Gemini Enterprise Agent Platform, while the other two models are available to early-access partners. It also introduces ASIMOV-Agentic, a benchmark for agentic safety orchestration. No release of weights is described. USASI has not tested these models.