engblogs

Build ML features at scale using Amazon SageMaker Feature Store and data from Amazon Redshift

Examining how machine learning models contribute to health care disparities in underrepresented groups

Combining deep learning and physics to fix motion-corrupted MRI scans in medical imaging.

Rules and guidelines for using definite and indefinite Italian articles

Exploring the implications of OpenAI's acquisition of Global Illumination

Analyzing phishing threats in Cloudflare's 2023 report using email security data from a 12-month period.

Modular orchestration of business critical workloads using Databricks Workflows on the Databricks Lakehouse Platform.

Understanding the basics of generative AI technology and its significance

A blogpost introducing Sliced Anti-symmetric Decomposition (SAD), a new model for collaborative filtering based on implicit feedback.

OpenAI's recent acquisition of Global Illumination brings new advancements to the field.

This blogpost discusses the implementation of FineRecon, a depth-aware feed-forward network that improves upon the coarse 3D geometry reconstruction typically generated by deep neural networks.

Introducing DNIKit, an open source Python framework for analyzing machine learning models and datasets, enabling comprehensive dataset analysis, finding near duplicate samples, uncovering rare data samples, annotation errors, or model biases, and compressing networks