Releases

AWS introduced an enterprise assistant that answers questions and completes tasks using company data.

AWS introduced automatic and human evaluation workflows for comparing foundation models.

AWS launched a free public playground for building shareable generative-AI applications with Amazon Bedrock.

AWS launched managed retrieval-augmented generation for grounding foundation models in private data.

AWS made Amazon Bedrock generally available with managed access to Amazon and third-party foundation models.

AWS introduced managed agents that orchestrate foundation models, enterprise data and API actions.

AWS introduced a generative-AI service for transcribing clinical conversations and drafting preliminary clinical notes.

AWS launched Inferentia2-powered EC2 instances for large-scale generative-AI inference.

AWS made its generative-AI coding assistant generally available, including a free individual tier and reference tracking.

AWS announced a managed service for building generative-AI applications with foundation models from Amazon and third parties.

Amazon introduced an AI and computer-vision system able to identify and handle individual products.

AWS launched Trainium-powered EC2 instances for high-performance deep-learning training.

AWS introduced its generative-AI coding companion in preview.

Amazon unveiled its first fully autonomous mobile robot for safely operating around employees.

AWS introduced a no-code visual interface for generating machine-learning predictions.

AWS introduced a HIPAA-eligible health data lake using FHIR and machine learning.

AWS introduced tools for bias detection and model explainability.

AWS introduced machine-learning-based anomaly detection for business and operational metrics.

AWS introduced an end-to-end condition-monitoring system using sensors and machine learning.

AWS introduced predictive maintenance from industrial sensor data.

AWS introduced a computer-vision service for visual defect and anomaly detection.

AWS introduced an ML-powered service for detecting abnormal operational behavior and recommending remediation.

AWS introduced pretrained models and solution templates to accelerate machine-learning deployment.

AWS launched automated model building with full visibility into generated models and notebooks.

AWS launched a web-based integrated development environment for machine learning.

AWS introduced managed human-review workflows for machine-learning predictions.

AWS introduced an intelligent enterprise-search service using machine learning and natural-language queries.

AWS introduced ML-powered code review and performance recommendations.

AWS made Inferentia-powered EC2 instances generally available for machine-learning inference.

AWS introduced a generative-AI learning service and musical keyboard.

AWS launched attachable fractional GPU acceleration for EC2 and SageMaker inference workloads.

AWS launched a reinforcement-learning education platform built around an autonomous scale race car.

AWS introduced document AI for extracting text, handwriting, forms and tables.

AWS introduced a managed forecasting service based on technology used in Amazon's retail operations.

AWS introduced a managed service for building individualized recommendations using technology derived from Amazon.com.

AWS introduced a managed data-labeling service combining human annotation with active learning.

AWS launched a HIPAA-eligible NLP service for extracting medical entities and relationships from text.

AWS introduced managed natural-language processing for entity, sentiment, language and topic extraction.

AWS introduced a managed neural machine-translation service.

AWS introduced a managed automatic speech-recognition service.

AWS introduced a programmable deep-learning-enabled video camera for edge computer-vision development.

AWS launched an end-to-end managed platform for building, training and deploying machine-learning models.

Amazon unveiled a checkout-free store using computer vision, sensor fusion and deep learning.

AWS introduced a managed text-to-speech service with natural-sounding voices.

AWS introduced the conversational AI service built from the speech recognition and language understanding technology behind Alexa.

AWS introduced managed image analysis for object, scene and face detection.

AWS launched its first managed machine-learning service for building predictive models from data in S3, Redshift and RDS.

Amazon introduced the Alexa voice service with the first Echo smart speaker.

Amazon launched a marketplace for human intelligence tasks that became widely used for labeling and evaluating machine-learning data.