Google Research AI is making accurate health information more accessible and personalized while also improving health outcomes globally.
Advancing healthcare and scientific discovery with AI Read More »
New generative AI models with a broad range of capabilities are emerging every week. In this world of rapid innovation, when choosing the models to integrate into your AI system, it is crucial to make a thoughtful risk assessment that ensures a balance between leveraging new advancements and maintaining robust security. At Microsoft, we are
Securing generative AI models on Azure AI Foundry Read More »
Learn more about Pixel Studio, including the just-launched human image generation feature.
4 creative ways I’m using Pixel Studio Read More »
Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize
Accelerate AWS Well-Architected reviews with Generative AI Read More »
Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. It’s a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts. It also provides developers with greater control over the LLM’s outputs, including the ability
Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain Read More »
What was the last thing you did with a generative AI app? Create a cat-unicorn coloring book for your niece? Summarize that 42-page brief a colleague sent you? For me, it was using Microsoft Copilot to help my 9th grader with a history study session—I know more than you can believe about Mesopotamia. Whatever it
New global report: How to stand out in an AI-savvy world Read More »
Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. To achieve optimal performance for specific use cases, customers are adopting and adapting these FMs to their unique domain requirements. This need for customization has become even more pronounced with the emergence of new models, such as those released
At Microsoft, we remain committed to enabling European businesses to thrive by providing the tools and support necessary to drive their success and give our customers throughout the European Union more control over their data. To fulfill these goals, today Microsoft is announcing that it has completed the EU Data Boundary for the Microsoft Cloud, an
Here are Google’s latest AI updates from February 2025
The latest AI news we announced in February Read More »
Recent advances in generative AI have led to the proliferation of new generation of conversational AI assistants powered by foundation models (FMs). These latency-sensitive applications enable real-time text and voice interactions, responding naturally to human conversations. Their applications span a variety of sectors, including customer service, healthcare, education, personal and business productivity, and many others.
