AWS MLAI agent-driven browser automation for enterprise workflow management
Artificial intelligence agents enable scalable, adaptive browser automation to streamline complex enterprise workflows like e-commerce order processing, reducing manual effort and improving compliance.
AWS MLProgrammatically creating an IDP solution with Amazon Bedrock Data Automation
Leverage Amazon Bedrock Data Automation, Strands SDK, and AgentCore to programmatically build an intelligent document processing solution that extracts insights from multi-modal business documents using Retrieval-Augmented Generation workflows.
DuolingoDear Duolingo: When did languages come up with standardized spelling?
Exploring the history and sociopolitical factors behind the emergence of standardized spelling rules across different languages.
AWS MLIntroducing Visa Intelligent Commerce on AWS: Enabling agentic commerce with Amazon Bedrock AgentCore
Visa Intelligent Commerce on AWS leverages Amazon Bedrock AgentCore to enable secure, scalable, multi-agent AI systems that automate agentic commerce workflows for travel and shopping through natural language commands and tokenized payments.
AWS MLAccelerating your marketing ideation with generative AI – Part 1: From idea to generation with the Amazon Nova foundation models
Leverage Amazon Nova foundation models to automate and accelerate marketing campaign ideation and visual asset generation, enhancing efficiency, consistency, and creativity through generative AI-powered tools and serverless architecture.
AWS MLAdvancing ADHD diagnosis: How Qbtech built a mobile AI assessment Model Using Amazon SageMaker AI
Qbtech leveraged Amazon SageMaker AI and AWS Glue to develop and deploy a clinically validated mobile AI model that streamlines ADHD diagnosis by processing multimodal smartphone sensor data with 96% faster feature engineering and enabling accessible, objective assessment from patients' devices.
AWS MLHow dLocal automated compliance reviews using Amazon Quick Automate
dLocal leveraged Amazon Quick Automate's AI-powered automation to scale and streamline its merchant compliance review process, achieving up to 75% automation and enhancing risk management across emerging markets.
AWS MLAccelerate Enterprise AI Development using Weights & Biases and Amazon Bedrock AgentCore
Leverage the integration of Weights & Biases and Amazon Bedrock AgentCore to streamline development, evaluation, and observability of enterprise-scale AI and agentic workflows with minimal code changes and comprehensive tooling.
AWS MLAWS AI League: Model customization and agentic showdown
The AWS AI League drives innovation by enabling developers to customize AI models and build intelligent agents through competitive, game-style challenges that address real-world business problems.
AWS MLExploring the zero operator access design of Mantle
Mantle leverages a zero operator access design with advanced cryptographic attestation and automation to significantly enhance security and privacy for generative AI inferencing on Amazon Bedrock.
Google DeepMindGoogle's year in review: 8 areas with research breakthroughs in 2025
A recap of Google's significant research breakthroughs across eight key areas in 2025.
DatabricksIntroducing Apache Spark® 4.1
A technical overview of Apache Spark 4.1, showcasing Spark Declarative Pipelines (SDP), ultra-low-latency Real-Time Mode in Structured Streaming, Arrow-enabled PySpark UDFs/UDTFs, enhanced Spark Connect for ML, and the GA VARIANT data type plus related SQL scripting and performance enhancements.