Category: FAANG

Posted by Kathy Meier-Hellstern, Building Responsible AI & Data Systems, Director, Google Research The Responsible AI and Human-Centered Technology (RAI-HCT) team within Google Research is committed to advancing the theory and practice of responsible human-centered AI through a lens of culturally-aware research, to meet the needs of billions of users today, and blaze the path …

Read more “Responsible AI at Google Research: Adversarial testing for generative AI safety”

This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. It partners with …

Read more “Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker”

In the ever-evolving landscape of machine learning, efficient model management is critical. This is especially true for the realm of fraud detection, where the models have to be redeployed frequently as they act against human adversaries, who can reverse-engineer fraud model logic and adapt their tactics accordingly. Within one of the world’s leading local delivery …

Read more “How Delivery Hero connected GitHub with Vertex AI to manage 20+ voucher fraud detection models”

By Abhinaya Shetty, Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Now, let’s explore the state of our pipelines after incorporating …

Read more “Psyberg: Automated end to end catch up”

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. It plays a crucial role in every model’s development process …

Read more “Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning”

To understand the latest advance in generative AI, imagine a courtroom. Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute —  requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases …

Read more “What Is Retrieval-Augmented Generation?”