AI & technology
Understand what a technology can do, what evidence supports the claim, and what remains uncertain. These explainers connect AI, security, engineering, and medical technology with practical questions about reliability, privacy, deployment, and limits.
How should I read a technology announcement?
Identify the result being claimed, the test conditions, and the comparison. A laboratory result, a regulatory decision, and a widely deployed product establish different things. Follow the primary source, check its date and scope, then use the worked examples to judge what the change means for your task.
Start with these guides
Search the full libraryWhat can AI actually do? A practical beginner’s guide
Understand pattern-based prediction, useful applications, and the limits to check before trusting an output.
Read articleAI answers in search: a faster starting point, not the final source
How AI search summaries change the research workflow and how to follow their supporting links.
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AI agents explained: from prompt to plan, tools, and supervised action
A practical model of how agents differ from chatbots and workflows, where they help, and how to keep their actions observable and controlled.
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RAG explained: how AI finds evidence before it answers
Understand chunking, embeddings, hybrid retrieval, reranking, citations, and the failure modes that separate a useful RAG system from a document demo.
Read articlePasskeys explained: why sign-in is changing
Learn what a passkey stores, why a fake website cannot use it like a stolen password, and what recovery still matters.
Read articleHow to check online information before you share it
A repeatable process for tracing claims, dates, sources, and missing context.
Read articlePrompt Caching: Calculate the Savings Before Rewriting Your AI Workflow
Understand reusable prompt prefixes, cache writes and misses. Work through a tested cost worksheet that separates input savings from the total AI bill.
Read articlePredictive Maintenance: When an Alert Is Worth an Inspection
Evaluate predictive maintenance with false-alarm counts, intervention lead time, and an original expected-cost example before authorizing deployment.
Read articleGrid Battery Sizing: MW, MWh, and the Energy You Can Actually Use
Work through a 2 MW, 8 MWh battery example to separate power, usable energy, discharge efficiency, backup reserves, and competing grid services.
Read articleMedical Device Cybersecurity: The SBOM and Patch Handoff
Understand the FDA's February 2026 guidance, section 524B duties, and a practical hospital procurement handoff for device software and patches.
Read articleResponsible AI in Healthcare: The Questions Hospitals Must Ask Before Deployment
WHO's 2026 report highlights governance, biased data and accountability gaps. Use this practical framework to evaluate AI in clinical workflows.
Read articleGlobal EV Outlook 2026: What 23 Million Electric Car Sales Would Mean
The IEA expects around 23 million electric car sales in 2026. Explore regional differences, affordability, charging, and what forecasts cannot guarantee.
Read articleMake the reading useful
Pick one guide, reproduce its example or apply its comparison to your question, and record the result. Follow the source links when a claim affects your decision. If an explanation leaves a step unclear, tell us the page and the step through the correction form.