GitHub

Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems ...

In this simple example, we will attempt to generate explanations for some ML model trained on 20newsgroups, a text classification dataset. In particular, we want to find out which words were important ...
IEEE

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model

Leveraging the extensive training data from SA-1B, the segment anything model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnostic instance ...
IEEE

Instances as Queries

Abstract: We present QueryInst, a new perspective for instance segmentation. QueryInst is a multi-stage end-to-end system that treats instances of interest as learnable queries, enabling query based ...
About Amazon

Trainium3 UltraServers now available: Enabling customers to train and deploy AI models faster at lower cost

Amazon EC2 Trn3 UltraServers powered by AWS's first 3nm AI chip help organizations of all sizes run their most ambitious AI training and inference workloads.
CIO Dive

New general-purpose Amazon EC2 M8i and M8i-flex instances are now available

Today, we’re announcing the general availability of Amazon Elastic Compute Cloud (Amazon EC2) general-purpose M8i and M8i-flex instances powered by custom Intel Xeon 6 processors available only on AWS ...