Tooling11d ago
Springer Nature and Google DeepMind partner on an AI peer review assistant built on Gemini and the open-source ADK; a prototype is in testing and human reviewers keep final judgment
On Oct 26 Springer Nature, one of the world's largest research publishers, announced a research partnership with Google DeepMind to co-design an AI peer review assistant. It uses DeepMind's frontier Gemini models and builds on Google's earlier agentic research tools ScholarPeer and Deep Review to help reviewers navigate manuscripts, analyse large amounts of text, charts and figures, and flag areas that may need closer attention. The system is built with Google's open-source Agent Development Kit (ADK) and runs only inside Springer Nature's private Gemini Enterprise environment, so manuscript content stays in its secure environment. A prototype is being tested; the publisher stresses 'human first, AI second' and has not given a launch date or any performance data.
Release10d ago
Google DeepMind unveils Genie 4 world model: built on Gemini Omni, first with native real-time audio and dialogue, in research preview for trusted testers
Google DeepMind announced Genie 4 on Oct 27, calling it its most realistic and interactive world model yet. Built on Gemini Omni, it improves physics and human motion, natively generates ambient audio and interactive character dialogue for the first time, and uses Gemini 3.8 Flash in the loop to plan complex events. It is a research preview for trusted testers for now, coming soon to Google AI Ultra (Project Genie) and early access partners in the Gemini API and AI Studio; no quantitative benchmarks were published.
Release10d ago
Google brings Gemini Robotics ER 2, DeepMind's embodied reasoning model, to Google Cloud in public preview so enterprises can orchestrate VLA models and multi-robot teams
On Oct 27 Google Cloud announced that Gemini Robotics ER 2, Google DeepMind's embodied reasoning model, is in public preview on the Gemini platform via Model Garden, under the model ID gemini-robotics-er-2-preview and built on Gemini 3.5 Flash. It acts as a robot's high-level brain: it reasons over space and time in video, plans multi-step tasks, checks whether an action succeeded, and calls VLA models and navigation APIs as tools, including across teams of different robots. Google says it pinpoints key video frames with 91.3% accuracy.
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