Author: AI Generated Robotic Content

Posted by Mónica Ribero Díaz, Research Scientist, Google Research Differential privacy (DP) is a property of randomized mechanisms that limit the influence of any individual user’s information while processing and analyzing data. DP offers a robust solution to address growing concerns about data protection, enabling technologies across industries and government applications (e.g., the US census) …

Read more “DP-Auditorium: A flexible library for auditing differential privacy”

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest online food and grocery store. They operate in multiple ecommerce channels such as quick commerce, slotted delivery, and daily subscriptions. You can also buy from their physical stores and vending machines. They offer a large assortment of over …

Read more “How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker”

In the first post of this series, we explored the concept of retrieval augmented generation (RAG) and how the same technologies that power Google Search can greatly enhance the effectiveness of the information retrieval capabilities of a RAG system. In this follow-up post, we will now take a deeper look at the other critical technologies …

Read more “Your RAGs powered by Google Search technology, part 2”

Health & Life Sciences Research with Palantir 2023 in Review Health Research + Technology: A Turning Point Palantir Foundry has long been instrumental in accelerating the research findings of our health and life science partners, helping achieve unprecedented insights, streamline data access, improve data usability, and facilitate advanced visualization and analysis of data sources — all while protecting the privacy …

Read more “Health & Life Sciences Research with Palantir: 2023 in Review”