<p>Google DeepMind has <strong>not announced a product called Gemini Robotics 2</strong>. The name does not appear in the supplied first-party material describing the company’s
We’re powering an era of physical agents — enabling robots to perceive, plan, think, use tools and act to better solve complex, multi-step tasks.
<p>Google has placed <strong>Gemini 3.5</strong> at the center of a broad product expansion that reaches beyond a single model release. Announced during Google I/O 2026, the
<h2> Why Decouple Reasoning from Motor Control </h2> <p>General-purpose robots have to pull off two very different jobs at once. They need to read a cluttered, full-room visual
<p><strong>Physical AI just crossed a threshold that matters.</strong> When Google DeepMind released Gemini Robotics-ER 1.6 in April 2026, the headline benchmark told the story
<p>Google has officially renamed <strong>NotebookLM</strong> as <a href="https://scalevise.com/resources/notebooklm/" rel="noopener noreferrer"><strong>Gemini
<p>Google has renamed <strong>NotebookLM</strong> as <strong><a href="https://scalevise.com/resources/notebooklm/" rel="noopener noreferrer">Gemini Notebook</a></strong>,
Google launched Gemini 3.5 Flash, its most powerful coding and agentic AI model yet, at the company's annual developer conference. It is capable of autonomously executing complex
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