ai/ml

Bridge the data literacy skills gap with data storytelling

Being a data-driven organization goes well beyond building a modern data architecture. With vast amounts of data flowing through the…

3 years ago

Refit trained parameters on large datasets using Amazon SageMaker Data Wrangler

Amazon SageMaker Data Wrangler helps you understand, aggregate, transform, and prepare data for machine learning (ML) from a single visual…

3 years ago

Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker

Today, we are launching Amazon SageMaker inference on AWS Graviton to enable you to take advantage of the price, performance,…

3 years ago

Using AI to increase asset utilization and production uptime for manufacturers

Today, manufacturers are advancing on their factory digitalization journey, betting on innovative technologies to strengthen competitiveness, deliver sustainable growth, and…

3 years ago

Speaking the Language of the Genome: Gordon Bell Finalist Applies Large Language Models to Predict New COVID Variants

A finalist for the Gordon Bell special prize for high performance computing-based COVID-19 research has taught large language models (LLMs)…

3 years ago

New Series: Creating Media with Machine Learning

By Vi Iyengar, Keila Fong, Hossein Taghavi, Andy Yao, Kelli Griggs, Boris Chen, Cristina Segalin, Apurva Kansara, Grace Tang, Billur…

3 years ago

Machine Learning for Fraud Detection in Streaming Services

By Soheil Esmaeilzadeh, Negin Salajegheh, Amir Ziai, Jeff BooteIntroductionStreaming services serve content to millions of users all over the world. These…

3 years ago

Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

To make machine learning (ML) more accessible, Amazon launched Amazon SageMaker Studio Lab at AWS re:Invent 2021. Today, tens of…

3 years ago

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