Fraud detection empowered by federated learning with the Flower framework on...
Fraud detection remains a significant challenge in the financial industry, requiring advanced machine learning (ML) techniques to detect fraudulent patterns while maintaining compliance with...
Long-running execution flows now supported in Amazon Bedrock Flows in public...
Today, we announce the public preview of long-running execution (asynchronous) flow support within Amazon Bedrock Flows. With Amazon Bedrock Flows, you can link foundation...
Implement user-level access control for multi-tenant ML platforms on Amazon SageMaker...
Managing access control in enterprise machine learning (ML) environments presents significant challenges, particularly when multiple teams share Amazon SageMaker AI resources within a single...
A Gaming GPU Helps Crack the Code on a Thousand-Year Cultural...
Ceramics — the humble mix of earth, fire and artistry — have been part of a global conversation for millennia.
From Tang Dynasty trade routes...
Indonesia on Track to Achieve Sovereign AI Goals With NVIDIA, Cisco...
As one of the world’s largest emerging markets, Indonesia is making strides toward its “Golden 2045 Vision” — an initiative tapping digital technologies and...
New capabilities in Amazon SageMaker AI continue to transform how organizations...
As AI models become increasingly sophisticated and specialized, the ability to quickly train and customize models can mean the difference between industry leadership and...
Supercharge your AI workflows by connecting to SageMaker Studio from Visual...
AI developers and machine learning (ML) engineers can now use the capabilities of Amazon SageMaker Studio directly from their local Visual Studio Code (VS...
Amazon SageMaker HyperPod launches model deployments to accelerate the generative AI...
Today, we’re excited to announce that Amazon SageMaker HyperPod now supports deploying foundation models (FMs) from Amazon SageMaker JumpStart, as well as custom or...
Accelerating generative AI development with fully managed MLflow 3.0 on Amazon...
Amazon SageMaker now offers fully managed support for MLflow 3.0 that streamlines AI experimentation and accelerates your generative AI journey from idea to production....
Accelerate foundation model development with one-click observability in Amazon SageMaker HyperPod
Amazon SageMaker HyperPod now provides a comprehensive, out-of-the-box dashboard that delivers insights into foundation model (FM) development tasks and cluster resources. This unified observability...
