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World scale inverse reinforcement learning in Google Maps

Posted by Matt Barnes, Software Engineer, Google Research Routing in Google Maps remains one of our most helpful and frequently used features. Determining the best route from A to B requires making complex trade-offs between factors including the estimated time of arrival (ETA), tolls, directness, surface conditions (e.g., paved, unpaved roads), and user preferences, which …

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Amazon SageMaker simplifies the Amazon SageMaker Studio setup for individual users

Today, we are excited to announce the simplified Quick setup experience in Amazon SageMaker. With this new capability, individual users can launch Amazon SageMaker Studio with default presets in minutes. SageMaker Studio is an integrated development environment (IDE) for machine learning (ML). ML practitioners can perform all ML development steps—from preparing their data to building, …

Generative AI on Google Cloud: New training content, from introductory to advanced

Generative AI is a type of machine learning and artificial intelligence (AI) that is garnering a lot of attention right now, and we want to help keep you a step ahead by sharing the latest training available from Google Cloud. In this blog, we have compiled resources to help you learn about generative AI, how …

Ecology and artificial intelligence: Stronger together

Many of today’s artificial intelligence systems loosely mimic the human brain. In a new paper, researchers suggest that another branch of biology — ecology — could inspire a whole new generation of AI to be more powerful, resilient, and socially responsible. The paper argues for a synergy between AI and ecology that could both strengthen …

How to Leverage Generative AI Retail Strategies to Boost Year-End Revenue [Webinar Key Takeaways]

Every retailer wants a robust fourth quarter and high profit during the holiday shopping season. To help you get it, Persado brought Vipul Vyas, Senior Vice President, Go-to-Market Strategy at Persado; and Assaf Baciu, COO and Co-Founder of Persado; together with guest speaker Sucharita Kodali, Vice President and Principal Analyst at Forrester. This webinar focused on Generative AI …

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Differentially private median and more

Posted by Edith Cohen and Uri Stemmer, Research Scientists, Google Research Differential privacy (DP) is a rigorous mathematical definition of privacy. DP algorithms are randomized to protect user data by ensuring that the probability of any particular output is nearly unchanged when a data point is added or removed. Therefore, the output of a DP …