faang

Introducing the Amazon SageMaker Serverless Inference Benchmarking Toolkit

Amazon SageMaker Serverless Inference is a purpose-built inference option that makes it easy for you to deploy and scale machine…

4 years ago

Deploy a machine learning inference data capture solution on AWS Lambda

Monitoring machine learning (ML) predictions can help improve the quality of deployed models. Capturing the data from inferences made in…

4 years ago

AWS Celebrates 5 Years of Innovation with Amazon SageMaker

In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models…

4 years ago

Improved TabNet on Vertex AI: High-performance, scalable Tabular Deep Learning

Data scientists choose models based on various tradeoffs when solving machine learning (ML) problems that involve tabular (i.e., structured) data,…

4 years ago

Open Images V7 — Now Featuring Point Labels

Posted by Rodrigo Benenson, Research Scientist, Google Research Open Images is a computer vision dataset covering ~9 million images with…

4 years ago

Run inference at scale for OpenFold, a PyTorch-based protein folding ML model, using Amazon EKS

This post was co-written with Sachin Kadyan, a leading developer of OpenFold. In drug discovery, understanding the 3D structure of…

4 years ago

Configure DTMF slots and ordered retry prompts with Amazon Lex

This post walks you through a few new features that make it simple to design a conversational flow entirely within…

4 years ago

Run multiple deep learning models on GPU with Amazon SageMaker multi-model endpoints

As AI adoption is accelerating across the industry, customers are building sophisticated models that take advantage of new scientific breakthroughs…

4 years ago

Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures

his paper considers the Pointer Value Retrieval (PVR) benchmark introduced in [ZRKB21], where a `reasoning' function acts on a string…

4 years ago

Latent Temporal Flows for Multivariate Analysis of Wearables Data

Increased use of sensor signals from wearable devices as rich sources of physiological data has sparked growing interest in developing…

4 years ago