Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload

Organizations building generative AI applications usually compare models the same way: dollars per million tokens. It’s the number on every pricing page, so it becomes the number in every spreadsheet. But production workloads don’t buy tokens. They buy outcomes: a resolved support ticket, a completed research brief, a correct financial summary. Between the pricing page […]

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Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations

Multi-agent systems in production experience issues in ways that traditional monitoring misses. For example, the agent can’t invoke its foundation model (FM) and returns an empty response. This could be because of a missing AWS Identity and Access Management (IAM) permission on an agent’s execution role that doesn’t throw a 500 error. A supervisor agent […]

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New deep learning model screens autism from facial features during

Facial morphology-based autism screening during attention assessment tasks: A dual-branch deep learning approach Researchers have unveiled a dual-branch deep learning framework that screens for autism spectrum disorder (ASD) by analyzing the geometry and texture of children’s faces while they complete attention tasks in a virtual reality classroom, according to a study published in the journal […]

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Machine learning optimizes Dendrobium officinale fermentation for enhanced

In a development that could reshape how the food and wellness industries harness ancient medicinal plants, researchers in China have successfully combined machine learning with probiotic fermentation to dramatically boost the antioxidant power of Dendrobium officinale, one of traditional Chinese medicine’s most prized and expensive botanicals. The study, published in Food Chemistry: X, demonstrates that […]

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