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Favorite Today at Google Cloud Next we announced updates and new tools for Gemini in Workspace.To start, we’re bringing audio capabilities directly into Google Docs so you’ll be … View Original Source (blog.google/technology/ai/) Here.
Favorite We’re introducing Ironwood, our seventh-generation Tensor Processing Unit (TPU) designed to power the age of generative AI inference. View Original Source (blog.google/technology/ai/) Here.
Favorite Google Cloud adds supercomputing and AI capabilities to power new scientific discoveries and innovations. View Original Source (blog.google/technology/ai/) Here.
Favorite Here’s a look at what we announced at Google Cloud Next 25. View Original Source (blog.google/technology/ai/) Here.
Favorite The AI landscape is rapidly evolving, and more organizations are recognizing the power of synthetic data to drive innovation. However, enterprises looking to use AI face a major roadblock: how to safely use sensitive data. Stringent privacy regulations make it risky to use such data, even with robust anonymization.
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Shared by AWS Machine Learning April 9, 2025
Favorite Headquartered in São Paulo, Brazil, iFood is a national private company and the leader in food-tech in Latin America, processing millions of orders monthly. iFood has stood out for its strategy of incorporating cutting-edge technology into its operations. With the support of AWS, iFood has developed a robust machine
Read More Shared by AWS Machine Learning April 9, 2025
Favorite Learn how Google DeepMind and Google Cloud are helping to bring a cinema classic to larger-than-life in Las Vegas. View Original Source (blog.google/technology/ai/) Here.
Favorite In conversations around Open Source AI, a familiar idea keeps surfacing: that “openness is a spectrum.” It sounds convenient, especially when trying to reconcile proprietary data or partially open models with the ideals of Open Source. But let’s be clear: this is a flawed premise—and one the Open Source
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Shared by voicesofopensource April 8, 2025
Favorite Imagine being able to get complex insights about our planet — like the impacts of hurricanes or best locations for city infrastructure — simply by asking Gemini. Geospat… View Original Source (blog.google/technology/ai/) Here.
Favorite Developing generative AI agents that can tackle real-world tasks is complex, and building production-grade agentic applications requires integrating agents with additional tools such as user interfaces, evaluation frameworks, and continuous improvement mechanisms. Developers often find themselves grappling with unpredictable behaviors, intricate workflows, and a web of complex interactions. The
Read More Shared by AWS Machine Learning April 8, 2025