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Gemini 2.0

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  1. RoboticsReach 37

    Google details how Gemini Robotics teaches robots to play ball and fold origami

    Google DeepMind just broke down its new Gemini Robotics family, fine-tuning Gemini 2.0 to give robots real-world dexterity and reasoning. Powered by Gemini Robotics-ER and a new vision-language-action model, dual-arm robots can tackle unfamiliar tasks like slam dunking a toy ball or packing lunches on the first try. It is an impressive step toward general-purpose embodied AI that moves beyond single-task programming.

  2. RoboticsReach 43

    DeepMind puts Gemini 2.0 into robots with two new models

    Google DeepMind just launched Gemini Robotics and Gemini Robotics-ER, two models built on Gemini 2.0 designed to bring AI reasoning into physical actions. The models can handle delicate chores like origami and zip-bag packing, and DeepMind is already teaming up with Apptronik to power Apollo humanoid robots.

  3. AI toolsReach 40

    Google upgrades Search with Gemini 2.0 and introduces AI Mode

    Google just integrated Gemini 2.0 into AI Overviews in the U.S. to tackle coding and advanced math, while dropping the login requirement and expanding access to teens. The search giant also launched 'AI Mode' in Labs, a deep-reasoning search experience that runs concurrent multi-topic queries and supports conversational follow-ups. Early access is currently rolling out to Google One AI Premium subscribers.

  4. AI toolsReach 39

    Google adds an AI data science agent to Colab

    Google just integrated its Data Science Agent directly into Colab, powered by the Gemini 2.0 model family. Users can upload CSV, JSON, or text files up to 1GB and ask plain-English questions to clean messy datasets, build visualizations, or write SQL. It rolled out for free this week under Colab's standard compute limits.

  5. ResearchReach 34

    Google's AI co-scientist wants to help write your next research grant

    Google just unveiled AI co-scientist, a multi-agent system built on Gemini 2.0 designed to serve as a virtual scientific collaborator. Instead of just summarizing papers, it uses specialized agents to generate novel hypotheses, draft proposals, and refine ideas through test-time compute scaling. Early lab tests in drug repurposing for leukemia have already shown real-world promise.

  6. AI modelsReach 70

    Google debuts Gemini 2.0 Flash to power native multimodal agents

    Google just introduced its next-gen Gemini 2.0 model family, rolling out Gemini 2.0 Flash Experimental to developers and Gemini web users today. The new model beats 1.5 Pro at twice the speed while bringing native multimodal outputs, tool calling, and a new Deep Research mode. Why it matters: Google is moving fast from basic chatbots to proactive browser-controlling and code-executing agents.

  7. IndustryReach 40

    Google rolls out Trillium TPU for all cloud customers

    Google just made Trillium, its sixth-generation TPU, generally available on Google Cloud. The chip powers Google's flagship Gemini 2.0 model, delivering over 4x faster training and up to 3x higher inference throughput compared to the prior-gen TPU v5e. Why it matters: Google is ramping up the pressure on Nvidia by giving developers a massive, cost-effective alternative for training giant models.