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Google DeepMind announced it is piloting what it describes as the world's first double-blind AI evaluations. The source provided only the announcement title and did not include details on scope, participants, or results.
Google DeepMind announced Gemini 3.5 Transcribe, which it describes as providing more intelligent speech-to-text transcription. The announcement is presented as an update to the Gemini 3.5 family focused on transcription capabilities.
Google DeepMind published a post titled "From Atari to EVE Online" that frames 15 years of its AI research in games and says it is partnering with game studios to prototype new AI‑driven gameplay. The note links past work on benchmarks like Atari to experiments in complex online environments such as EVE Online.
Google DeepMind published an announcement titled "Introducing Gemini 3.7 Flash." No article text or further details were provided in the source, so the model's capabilities, release timing, and availability cannot be confirmed from this item.
Google DeepMind introduced sign-language-to-text (SL2T), described as a breakthrough model that will power new sign language features intended for Deaf and hard of hearing users.
According to a Google DeepMind source, WeatherNext is an AI model the company says achieves a breakthrough in forecasting cyclones. The supplied text contains only the announcement title and does not include technical details or independent verification of the claim.
Gemini Robotics ER 2 aims to help robots reason, collaborate, and solve real-world tasks by advancing video understanding, tool orchestration, and multi-robot collaboration. Google DeepMind describes it as a step change for robotic applications in those areas.
Google DeepMind announced Gemini Robotics 2, described in the source title as bringing 'whole-body intelligence' to robots; the provided text contains the announcement headline but no further technical details or release information.
Google, via DeepMind, has committed $40 million in AI tokens and compute credits to support the Genesis Mission, an effort framed as accelerating scientific discovery using AI. The announcement comes from Google DeepMind and specifies the contribution as tokens and credits rather than direct cash grants.
Google DeepMind announced new additions to its Gemini model family: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The announcement names the models but does not provide further technical or availability details in the provided text.
Google DeepMind introduced Gemini 3.5 Flash Cyber, described as a lightweight cybersecurity model intended to find and patch software vulnerabilities.
Google DeepMind and Isomorphic Labs have shared a joint approach to bioresilience and the use of AI models, outlining how the organizations plan to address biological resilience-related challenges with AI (source: Google DeepMind).
Google DeepMind announced a "first-of-its-kind" research partnership with film studio A24. The source title does not provide details about the partnership's scope, goals, or timeline.
Google DeepMind published an announcement titled "Start building with Nano Banana 2 Lite and Gemini Omni Flash." The headline indicates developer-facing resources or guidance for using the Nano Banana 2 Lite hardware together with Gemini Omni Flash (related to Google's Gemini family), but the article body is not provided here so specifics, availability, and system requirements are not confirmed.
Google DeepMind posted an item titled 'Introducing computer use in Gemini 3.5 Flash.' The supplied source text is not included, so the announcement appears to indicate a new 'computer use' capability for the Gemini 3.5 Flash model but no further details are available in the provided content.
The UK government is partnering with Google DeepMind to build an AI-powered prototype intended to accelerate housing planning decisions and help unlock faster house-building. Public details on scope, timeline and deployment remain limited in the announcement.
Google DeepMind published 'Securing the future of AI agents', proposing an AI Control Roadmap to secure internal systems by combining traditional safeguards with real-time monitoring.
Google DeepMind and partners announced a $10 million funding call to support research into the safety of multi-agent AI systems. The announcement invites proposals but the source does not specify partners, deadlines, or eligibility details.
Google DeepMind's Gemini 3.5 Live Translate provides near real-time, natural-sounding speech translation integrated into Google AI Studio, Google Translate, and Google Meet. The feature aims to enable fluid voice translation across these Google products.
Google DeepMind announced Gemma 4 12B, which it describes as a unified, encoder-free multimodal model. The announcement presents Gemma 4 12B as part of the Gemma 4 family.
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