Announcing Amazon S3 access point support for Amazon SageMaker Data Wrangler | Amazon Web Services
In this post, we walk you through importing data from, and exporting data to, an S3 access point in SageMaker Data Wrangler.
Machine-learning system based on light could yield more powerful, efficient large language models
MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.
Machine learning with decentralized training data using federated learning on Amazon SageMaker | Amazon Web Services
In this post, we discuss how to implement federated learning on Amazon SageMaker to run ML with decentralized training data.
Explain medical decisions in clinical settings using Amazon SageMaker Clarify | Amazon Web Services
In this post, we show how to improve model explainability in clinical settings using Amazon SageMaker Clarify. Explainability of machine learning (ML) models used in the medical domain is becoming…
Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler | Amazon Web Services
We are happy to announce that SageMaker Data Wrangler now supports using Lake Formation with Amazon EMR to provide this fine-grained data access restriction.
WordPress autoblogging with CyberSEO and OpenAI GPT – A roadmap to legal compliance
Discover the innovative integration of OpenAI GPT with the CyberSEO Pro plugin for WordPress. Learn how to generate automated content that respects intellectual property laws.
Artificial intelligence for augmentation and productivity
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift | Amazon Web Services
Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Many practitioners are extending these…
How machine learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health-care disparities among underrepresented groups.
MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans
The challenge involves more than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.