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Build an AI-Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore
AWS published a step-by-step guide for building an AI-powered equipment repair assistant on Amazon Bedrock AgentCore, aimed at farmers and field technicians who need fast machinery diagnosis. The assistant lets users describe a problem in plain language, then pulls answers from manufacturer manuals, identifies the parts needed, and walks through approved repair steps. It runs on AgentCore Runtime with the Strands Agents SDK, uses Amazon Nova 2 Lite as the model, and adds a Bedrock Knowledge Base for document retrieval plus AgentCore Memory to remember past conversations.
Amazon Quick ARNs: Cross-account migration and namespace permissions
In this post, we cover the structure of Amazon Quick ARNs and provide a practical mental model for working with them. By the end, you can look at an ARN and immediately understand what it means for your migration strategy, diagnose permission issues faster, and design multi-tenant architectures with confidence.
Rehumanizing global health care with agentic AI
The global health care sector is under increasing strain. Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations. Gaps in provision are already taking a toll, with fragmented access to care and high rates of stress and burnout among staff. And it's getting worse....
The Future of Physical AI Isn't Smarter Robots, It's Smarter Interfaces
This sponsored article is brought to you by Wetour Robotics. A field technician on a wind turbine, harness clipped, both hands on a wrench, needs to send a command to the diagnostic device hanging at her belt. A logistics worker on a loading dock, gloves on, eyes on the pallet, needs to redirect a connected lift. A person using an assistive mobility device on a crowded street wants to nudge it forward without taking out a phone or speaking aloud. None of these moments call for a smarter robot. They call for a smarter way to be heard by the machines that already exist. The industry has been bui
Graphene "Tattoos" for Plants Could Form Neural Networks
A hydrated leaf is a healthy leaf. That's true for the leaves of crop plants in a farmer's field and for the leaves of trees in an area vulnerable to forest fires. But the traditional techniques to monitor leaf hydration require cutting them from their plants, which is time-consuming and cannot give live measurements. That's why many researchers are building sensors that measure a plant's health in real time. Now, researchers in Texas have developed a graphene "tattoo" that can be stuck directly onto a leaf to provide real-time moisture readings. The researchers also believe it could one day b
Can AI Chatbots Reason Like Doctors?
One of the earliest stated goals for computing in medicine was to aid in clinical reasoning: the decision-making steps required to reach a diagnosis and form a treatment plan. And over the years, researchers have built many clinical decision support systems, which have typically been purpose-built, with painstakingly written rules about symptoms, test thresholds, and medication interactions. As artificial intelligence capabilities develop, clinical reasoning is a natural application. Now, a large language model (LLM) from OpenAI has outperformed physicians on several clinical reasoning tasks u