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Introduction
Creating interactive web-based data dashboards in Python is easier than ever when you combine the strengths of Streamlit, Pandas, and Plotly. These…
Why Multimodal Reasoning Matters for Vision-Language Tasks
Multimodal reasoning enables models to make informed decisions and answer questions by combining both visual and textual information. This type of reasoning plays…
Science
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Google DeepMind has unveiled Gemini Robotics On-Device, a compact, local version of its powerful vision-language-action (VLA) model, bringing advanced robotic intelligence directly onto devices. This marks a key step forward…
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Agentic AI has recently become the hottest topic in AI implementation. If you follow AI information on social media, you are likely to see…
Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to…
We designed Gemini 2.5 to be a family of hybrid reasoning models that provide amazing performance, while also being at the Pareto Frontier of cost and speed. Today, we’re taking…
The Challenge of Scaling 3D Environments in Embodied AI
Creating realistic and accurately scaled 3D environments is essential for training and evaluating embodied AI. However, current methods still rely on…
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As a data scientist, Jupyter Notebook has become one of the first platforms we learn to use, as it allows for easier data manipulation compared to…
Today we are excited to share updates across the board to our Gemini 2.5 model family: Gemini 2.5 Pro is generally available and stable (no changes from the 06-05 preview)…