Amazon SageMaker Feature Store introduces BatchWriteRecord API for high-throughput ingestion. ListRecords API enables browsing record identifiers for better data management.
Salesforce optimized Agentforce AI with Amazon SageMaker, cutting costs by 8x. Using new IC Placement, they achieved Multi-AZ HA compliance for their models, preventing single points of failure.
Decathlon, a global sporting goods retailer, uses Chronos-2 for accurate demand forecasting, improving supply chain operations. Decathlon's rigorous evaluation led to selecting Chronos-2 for higher accuracy with lower operational complexity.
Proteins' functions are determined by structure, not just sequence. New AI framework PottsMPNN improves protein design by understanding sequence-energy landscape.
Amazon Bedrock in India now supports OpenAI GPT-5.6 models Terra and Luna, allowing for local data processing in various sectors. India geographic cross-Region inference ensures data stays within the country, offering scalability and performance under load.
Creative teams face high demand for assets and revisions, but struggle with fragmented workflows. Amazon Quick, Skills, fal, and MCP offer a unified agent harness for faster, more efficient media creation.
Heidi Health uses NVIDIA's CUDA MPS on Amazon EC2 to reduce GPU infrastructure by 75%, maintaining sub-second transcription latency at peak traffic. The collaboration between AWS, NVIDIA, and Heidi optimizes ASR inference efficiency, highlighting the benefits of GPU sharing mechanisms for AI models.
MIT researchers have developed CrysVCD, improving material stability for high-performance products like computer chips. The framework enhances material generation by ensuring key chemistry rules are met, leading to more usable options.
GoDaddy overcame BI challenges with Amazon Quick migration. 15,000 hours saved annually, 50% less dashboards, rendering times cut to under 5 seconds.
AI teams face challenges due to the growing diversity of agent frameworks and limited evaluation tooling. Amazon Bedrock AgentCore solves this by decoupling evaluation from framework choice using OpenTelemetry as a common language for scoring agents regardless of SDK.
Data preparation is crucial for supervised fine-tuning (SFT) projects. Customize foundation models like Amazon Nova with CPT, SFT, and RFT for optimal performance.
Amazon OpenSearch Service MCP Apps streamline observability workflows by providing interactive visualizations alongside text responses, eliminating the need for manual verification in a separate browser tab. This innovative solution closes the gap between agent-generated insights and visual confirmation, enhancing efficiency and reducing operational burdens for organizations.
New Ray capabilities on Amazon SageMaker HyperPod integrate Ray with purpose-built infrastructure for model training and serving. Data scientists can now easily create Ray clusters, manage jobs, and access observability dashboards from SageMaker Studio.
Machine learning regression model training can benefit from early-exit using Euclidean distance tracking. Linear regression with SGD was pioneered by Bernard Widrow and Ted Hoff in 1960, leading to today's AI advancements.
MIT engineers developed a tool, "Extreme Event Aware," that generates plausible extreme events without relying on past data. This method helps plan for unprecedented events, like Hurricane Katrina, occurring every 100 years.