Running a factory today feels like juggling flaming chainsaws: demand spikes, energy costs, machine breakdowns, and a talent pool that’s shrinking faster than your patience. Add in customers who expect zero defects and regulators who expect perfect compliance, and it’s a wonder production managers sleep at all.
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This blog post is the second part of our on-going blog series about 3D computer vision. If you haven’t read the first blog post, you can check it out here. This second article (Part 2) provides an overview of 3D optical acquisition methods. We cover the differences between various types of sensors and how they can benefit specific use-cases. We also cover different 3D data formats and storage options.
The hidden dangers of AI: key risks every business should know
Remember J.A.R.V.I.S. from Iron Man? That intelligent assistant that seemed to have a solution for everything? While we’re not quite there yet, the rapid evolution of Large Language Models (LLMs) like GPT-4, Claude, and Gemini is bringing us closer than ever. Today’s LLMs are impressive. They can generate content, translate languages, and even write code. But let’s be real — they’re still pretty much glorified text processors.
