Author(s): Manash Pratim Originally published on Towards AI. There’s a moment every engineer dreads. The dashboards are green. The alerts are silent. Everything looks calm until it isn’t. One minute your logs are flowing normally. The next minute, the system collapses like a badly timed Jenga tower. Image generated using AIThe article discusses the author’s experience creating a small Python agent that monitors system logs in real-time, catching issues before traditional monitoring tools can trigger alerts. By focusing […]

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Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses subtle forces, stretching and flexing in ways that mimic more of the compliance of a human hand. Its every motion is calculated to […]

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Author(s): Abinaya Subramaniam Originally published on Towards AI. If retrieval is the search engine of your RAG system, chunking is the foundation the search engine stands on. Even the strongest LLM fails when the chunks are too long, too short, noisy, or cut at the wrong place. That is why practitioners often say: “Chunking determines 70% of RAG quality.” Good chunking helps the retriever find information that is complete, contextual, and relevant while bad chunking creates fragmented, out […]

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For decades, it’s been known that subtle chemical patterns exist in metal alloys, but researchers thought they were too minor to matter — or that they got erased during manufacturing. However, recent studies have shown that in laboratory settings, these patterns can change a metal’s properties, including its mechanical strength, durability, heat capacity, radiation tolerance, and more. Now, researchers at MIT have found that these chemical patterns also exist in conventionally manufactured metals. The surprising finding revealed a […]

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