Google Cloud Dataflow's Managed I/O simplifies using Apache Beam I/O connectors by automatically updating connectors to the latest versions and providing a standardized API, optimizing connectors specifically for Dataflow, ensuring efficient performance and reducing the need for manual configuration, freeing users to focus on pipeline logic.

Google DeepMind releases TxGemma, built on Gemma, which predicts therapeutic properties, and Agentic-Tx, powered by Gemini 2.0 Pro, which tackles complex research problem-solving with advanced tools.

The Google I/O 2025 puzzle used the Gemini API to generate dynamic riddles for bonus worlds, enhancing player engagement and scalability. Here's what our developers learned on using the Gemini API effectively, including creativity, design, and implementation strategies.

Gemma 3 1B, a new small language model for mobile and web applications via Google AI Edge, is now available, with increased efficiency, improved performance, and offline availability.

Gemma 3 is a new, advanced version of the Gemma open-model family featuring multimodality, longer context windows, and improved language capabilities, with various sizes and deployment options for developers to experiment.

The experimental native image generation feature of Gemini 2.0 Flash – allowing for the combination of text and images, conversational image editing, and leveraging real-world knowledge for contextual visuals – is now available for developers to test through Google AI Studio and the Gemini API.

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.

An enhancement to Google Cloud Dataflow templates for MongoDB Atlas enables direct integration of JSON data into BigQuery, eliminating complex data transformations, reducing operational costs, and enhancing query performance for users.

Google Cloud Next 2025, happening April 9-11 in Las Vegas, will feature expanded developer content, interactive experiences, and opportunities to connect with peers and Google experts.

A new experimental Gemini Embedding text model, now available in the Gemini API, achieves top rankings on the Massive Text Embedding Benchmark (MTEB) leaderboard and offers expanded language support and high-dimensional embeddings.

This blog post introduces Gemini's code execution feature, which allows the AI model to generate and run Python code for tasks like solving equations, data analysis, and creating visualizations.

CalCam, a calorie-tracking app, uses the Gemini API to analyze meal photos, providing users with fast and accurate nutritional information. Polyverse, CalCam's creator, highlights Gemini API's speed, accuracy, and structured JSON output are crucial for CalCam's seamless user experience and efficient development, allowing for easy integration and detailed food analysis.

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.

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI. 2.0 Flash-Lite offers improved performance over 1.5 Flash across reasoning, multimodal, math and factuality benchmarks. For projects that require long context windows, 2.0 Flash-Lite is an even more cost-effective solution, with simplified pricing for prompts more than 128K tokens.

PaliGemma 2 mix, an upgraded vision-language model, is now available, offering capabilities like image captioning, OCR, and object detection in various sizes.

Updates to the Gemini API, including the production readiness of Veo 2 for video generation, the preview of the Live API for real-time interactions, and the upcoming Gemini 2.5 Flash model, alongside the existing Gemini 2.5 Pro aim to enhance developer capabilities in building AI applications with improved thinking models, dynamic interactions, and high-quality video generation.

Meta today announced that Patrick Collison and Dina Powell McCormick have been elected to the company’s board of directors, effective April 15.

Mark Zuckerberg, Founder and CEO of Meta, said, “Patrick and Dina bring a lot of experience supporting businesses and entrepreneurs to our board. Patrick is deeply committed to expanding economic opportunity, and Dina has a long career advocating for economic development and supporting entrepreneurs. Their perspective will be extremely valuable to businesses that rely on our services to grow.”

“Between WhatsApp, Instagram and Facebook, Meta is one of the internet’s most important platforms for businesses. I look forward to helping them navigate the abundant opportunities of the coming years,” said Patrick Collison, Co-Founder and CEO of Stripe.

“I’m excited to bring my experience in finance, government and economic development to support the people and entrepreneurs who use Meta’s services,” said Dina Powell McCormick, Vice Chair, President & Head of Global Client Services at BDT & MSD Partners. 

Patrick Collison is the Co-Founder and CEO of Stripe, a technology company that builds programmable financial services, which he started with his brother John Collison in 2010. Mr. Collison is also a co-founder of the Arc Institute, a biomedical research institute that is pioneering a new model for basic research. 

Dina Powell McCormick is currently Vice Chair, President & Head of Global Client Services at BDT & MSD Partners. For over 25 years she has served at the highest levels of finance and in the U.S. government. Dina spent 16 years in senior leadership roles as a partner at Goldman Sachs including serving on the management committee, running the firm’s Global Sovereign investment banking business and leading some of the largest and most successful economic development programs, including 10,000 Women, 10,000 Small Businesses and One Million Black Women. She also has served two presidents, as Deputy National Security Advisor to President Donald J. Trump and Assistant to the President for Presidential Personnel and Senior White House Advisor and as Assistant Secretary of State for Secretary of State Condoleezza Rice under President George W. Bush. Dina is a New York Times best-selling author for Who Believed in You, the Power of Transformative Mentorship, a book she authored with her husband, United States Senator from Pennsylvania David McCormick.

Meta’s current board members are: Mark Zuckerberg; Peggy Alford, former Executive Vice President, Global Sales, PayPal Holdings, Inc.; Marc L. Andreessen, Co-founder and General Partner, Andreessen Horowitz; John Arnold, Co-Founder and Co-chair, Arnold Ventures; Patrick Collison, Co-Founder and CEO, Stripe, Inc. (effective April 15); John Elkann, CEO, Exor N.V.; Drew Houston, Co-Founder and CEO, Dropbox, Inc.; Nancy Killefer, retired Senior Partner, McKinsey & Company; Robert M. Kimmitt, Meta’s Lead Independent Director and Senior International Counsel, WilmerHale LLP; Dina Powell McCormick, Vice Chair, President & Head of Global Client Services, BDT & MSD Partners (effective April 15); Charlie Songhurst, Technology Investor; Hock E. Tan, President and CEO, Broadcom Inc.; Tracey T. Travis, Executive Vice President and Senior Advisor to the CEO, The Estée Lauder Companies, Inc.; Dana White, President and CEO, Ultimate Fighting Championship; and Tony Xu, Co-Founder and CEO, DoorDash, Inc.

The post Patrick Collison and Dina Powell McCormick to Join Meta Board of Directors appeared first on Meta.

The Agent Development Kit (ADK), an open-source framework from Google designed to simplify the development of multi-agent systems, providing tools for building, interacting, evaluating, and deploying agents.

The Google Developer Program is evolving with AI-powered tools like Gemini Code Assist and expanded resources, including new Premium and Enterprise offerings, access to product previews, and increased workspace capacity, making it easier for developers to build and innovate.

Agent2Agent (A2A) protocol is an open standard designed to enable AI agents from different vendors and frameworks to collaborate and exchange information across enterprise platforms aiming to foster a future of seamless AI agent interoperability and enhanced automation.