New tools in Google AI Studio to explore, debug and share logs
We’re introducing a new logs and datasets feature in Google AI Studio.
Chat in NotebookLM: A powerful, goal-focused AI research partner
We’re rolling out changes to NotebookLM to make it fundamentally smarter and more powerful.
Hosting NVIDIA speech NIM models on Amazon SageMaker AI: Parakeet ASR
This post was written with NVIDIA and the authors would like to thank Adi Margolin, Eliuth Triana, and Maryam Motamedi for their collaboration. Organizations today face the challenge of processing large volumes of audio data–from customer calls and meeting recordings to podcasts and voice messages–to unlock valuable insights. Automatic Speech Recognition (ASR) is a critical …
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Meet the 11 startups using AI to build a safer digital future in Latin America
Learn more about the startups chosen for Google for Startups Accelerator: AI for Cybersecurity.
Google Beam is working with the USO to support military families.
Learn more about Google’s work with the USO and how it plans to launch a program that will enable service members to stay in touch with loved ones.
Responsible AI design in healthcare and life sciences
Generative AI has emerged as a transformative technology in healthcare, driving digital transformation in essential areas such as patient engagement and care management. It has shown potential to revolutionize how clinicians provide improved care through automated systems with diagnostic support tools that provide timely, personalized suggestions, ultimately leading to better health outcomes. For example, a …
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Beyond pilots: A proven framework for scaling AI to production
The era of perpetual AI pilots is over. This year, 65% of AWS Generative AI Innovation Center customer projects moved from concept to production—some launching in just 45 days, as AWS VP Swami Sivasubramanian shared on LinkedIn. These results come from insights gained across more than one thousand customer implementations. The Generative AI Innovation Center …
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Generate Gremlin queries using Amazon Bedrock models
Graph databases have revolutionized how organizations manage complex, interconnected data. However, specialized query languages such as Gremlin often create a barrier for teams looking to extract insights efficiently. Unlike traditional relational databases with well-defined schemas, graph databases lack a centralized schema, requiring deep technical expertise for effective querying. To address this challenge, we explore an …
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Incorporating responsible AI into generative AI project prioritization
Over the past two years, companies have seen an increasing need to develop a project prioritization methodology for generative AI. There is no shortage of generative AI use cases to consider. Rather, companies want to evaluate the business value against the cost, level of effort, and other concerns, for a large number of potential generative …
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