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Redacting PII data in Dialogflow CX with Google Cloud Data Loss Prevention (DLP)

Contact centers today handle all types of sensitive information including Personally Identifiable Information (PII), Protected Health Information (PHI), Payment Card…

3 years ago

Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

*= Equal Contributions Recovering linear subspaces from data is a fundamental and important task in statistics and machine learning. Motivated…

3 years ago

Characterizing Emergent Phenomena in Large Language Models

Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team The field of natural language processing (NLP)…

3 years ago

How Prodege saved $1.5 million in annual human review costs using low-code computer vision AI

This post was co-authored by Arun Gupta, the Director of Business Intelligence at Prodege, LLC. Prodege is a data-driven marketing…

3 years ago

Identifying and avoiding common data issues while building no code ML models with Amazon SageMaker Canvas

Business analysts work with data and like to analyze, explore, and understand data to achieve effective business outcomes. To address…

3 years ago

MAEEG: Masked Auto-encoder for EEG Representation Learning

This paper was accepted at the Workshop on Learning from Time Series for Health at NeurIPS 2022. Decoding information from…

3 years ago

Seeing through hardware counters: a journey to threefold performance increase

By Vadim Filanovsky and Harshad SaneIn one of our previous blogposts, A Microscope on Microservices we outlined three broad domains of…

3 years ago

Approaches to long-term planning with IBM Planning Analytics

In our collective rush to react to ever-changing marketplace dynamics and shifts in the economy, it’s easy to focus on…

3 years ago

Multi-layered Mapping of Brain Tissue via Segmentation Guided Contrastive Learning

Posted by Peter H. Li, Research Scientist, and Sven Dorkenwald, Student Researcher, Connectomics at Google Mapping the wiring and firing…

3 years ago

Brain tumor segmentation at scale using AWS Inferentia

Medical imaging is an important tool for the diagnosis and localization of disease. Over the past decade, collections of medical…

3 years ago