120 results
MARCH 3, 2025 / Gemini
The Data Science Agent in Google Colab, powered by Gemini, can now generate complete, working notebooks from simple natural language descriptions, so developers can automate data analysis tasks, saving time to focus on deriving insights.
MAY 20, 2025 / Cloud
Updates to Google's agent technologies include the Agent Development Kit (ADK) with new Python and Java versions, an improved Agent Engine UI for management, and enhancements to the Agent2Agent (A2A) protocol for better agent communication and security.
MAY 28, 2025 / Gemini
The Magic Mirror project utilizes the Gemini API, including the Live API, Function Calling, and Grounding with Google Search, to create an interactive and dynamic experience, demonstrating the power of the Gemini models to generate visuals, tell stories, and provide real-time information through a familiar object.
JUNE 26, 2024 / Firebase
Adding a helpful twist to a classic crossword puzzle with the power of Flutter, Firebase, and the Gemini API.
JULY 11, 2024 / Gemma
Google has developed a number of technologies that you can use to start experimenting with and exploring the potential of generative AI to process data that needs to stay private.
OCT. 26, 2023 / Community
Developer Journey is a monthly series highlighting diverse and global developers sharing relatable c...
APRIL 15, 2025 / Cloud
The Apigee Extension Processor enhances Apigee's capabilities by enabling it to manage gRPC streaming and integrate with Google Cloud services through Cloud Load Balancing, allowing for applying Apigee policies to a wider range of backend services, and improving secure access to Google Cloud infrastructure.
APRIL 9, 2024 / Gemini
Meet the new members of the Gemma family of open models, tailored to devs and researchers, offering new and innovative options.
JAN. 25, 2024 / Checks
Whether you’re building a Flutter or web app, Project IDX now allows you to preview your applications without having to leave your workspace.
MARCH 12, 2025 / Gemma
ShieldGemma 2, built on Gemma 3, is a 4 billion parameter model that can be used as an input filter for vision language models or an output filter for image generation systems, and is designed to respond to a wide range of diverse and nuanced imagery.
