LayerNAS: Neural architecture search in polynomial complexity

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Posted by Yicheng Fan and Dana Alon, Software Engineers, Google Research Every byte and every operation matters when trying to build a faster model, especially if the model is to run on-device. Neural architecture search (NAS) algorithms design sophisticated model architectures by searching through a larger model-space than what is possible manually. Different NAS algorithms, …

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Run your local machine learning code as Amazon SageMaker Training jobs with minimal code changes

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We recently introduced a new capability in the Amazon SageMaker Python SDK that lets data scientists run their machine learning (ML) code authored in their preferred integrated developer environment (IDE) and notebooks along with the associated runtime dependencies as Amazon SageMaker training jobs with minimal code changes to the experimentation done locally. Data scientists typically …

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Google Cloud Startup Summit introduces benefits for AI startups

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Google Cloud is committed to supporting the growth and advancement of startups, with particular focus on helping startups looking to build and scale. We’re seeing tremendous innovation from startups choosing Google Cloud to advance their generative AI development, thanks to our fully-managed and serverless data, AI, and infrastructure solutions. That’s why today’s Startup Summit, and …

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Right on Track: NVIDIA Open-Source Software Helps Developers Add Guardrails to AI Chatbots

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Newly released open-source software can help developers guide generative AI applications to create impressive text responses that stay on track. NeMo Guardrails will help ensure smart applications powered by large language models (LLMs) are accurate, appropriate, on topic and secure. The software includes all the code, examples and documentation businesses need to add safety to …

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How can we build human values into AI?

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As artificial intelligence (AI) becomes more powerful and more deeply integrated into our lives, the questions of how it is used and deployed are all the more important. What values guide AI? Whose values are they? And how are they selected?

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Amazon SageMaker Data Wrangler for dimensionality reduction

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In the world of machine learning (ML), the quality of the dataset is of significant importance to model predictability. Although more data is usually better, large datasets with a high number of features can sometimes lead to non-optimal model performance due to the curse of dimensionality. Analysts can spend a significant amount of time transforming …

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Introducing AI-powered risk summaries in Security Command Center

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Cloud security teams need expert guidance to protect against an increasing number of threats, and to help pinpoint where they are most at risk. They also need to make security issues understandable so that non-security specialists can help keep their organization safe. To meet both requirements, we will integrate Google Cloud Security AI Workbench with …

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Google at CHI 2023

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Posted by Malaya Jules, Program Manager, Google This week, the Conference on Human Factors in Computing Systems (CHI 2023) is being held in Hamburg, Germany. We are proud to be a Hero Sponsor of CHI 2023, a premier conference on human-computer interaction, where Google researchers contribute at all levels. This year we are presenting over …

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