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Google DeepMind is pioneering research into an "AI co-clinician" to augment human medical expertise and transform healthcare delivery.
A new AI lab led by a prominent DeepMind alumnus has raised over a billion dollars to pursue the challenging goal of building AI that learns independently of human data.
A significant number of Google employees are publicly opposing the company's potential involvement in classified military AI projects, raising ethical concerns about AI's application in defense.
Decoupled DiLoCo offers a resilient and decoupled methodology for distributed AI training, promising more robust and efficient large-scale machine learning.
DeepMind is scaling the deployment of its frontier AI by partnering with global consultancies to reach a broader range of organizations and drive enterprise AI transformation.
The new Gemini 3.1 Flash TTS model offers unprecedented granular control over AI speech, enabling highly expressive audio generation.
Gemini Robotics-ER 1.6 significantly advances robot intelligence by improving spatial and multi-view understanding, enabling more effective real-world task performance.
Google DeepMind is proactively addressing the societal risks of AI manipulation by researching potential harms and developing safety protocols.
Gemini Deep Think is proving to be a powerful AI tool for accelerating breakthroughs in mathematical and scientific research.
DeepMind is proposing a structured, cognitive-based approach to systematically track and evaluate advancements in AGI capabilities.
Gemma Scope 2 provides open interpretability tools for the Gemma 3 family, enhancing AI safety research by enabling deeper understanding of model behavior.
D4RT dramatically accelerates 4D reconstruction and tracking, enabling AI to perceive dynamic environments with unprecedented speed and efficiency.
Nano Banana 2 delivers high-quality, consistent image generation at unprecedented speeds, targeting professional applications.