The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...
Though it might feel great to finish a workout and see "calories burned" pop up on your smartwatch, that number is often surprisingly inaccurate, with estimated error rates of 30%–80%. The watch's ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
The intensity of America’s data-center build-out has left JE Dunn Construction wrestling with an unusual question: How much new business is too much new business? The general contractor in 2024 ...
AGPL-3.0 — because research infrastructure deserves the same freedoms as the software it runs on. .env.d/ ├── entry.src # Single entry point ├── 00_scitex.env # Base settings (SCITEX_DIR) ├── ...
Sometimes companies can win by losing, becoming higher-growth, higher-margin entities by selling or spinning off a slower-growing business.
A one-day short course presented at the American Meteorological Society (AMS) Annual Meeting 2026 106th AMS Annual Meeting - Houston, TX January 25, 2026 at 8:30 AM - 3:45 PM Central Time (Hybrid) ...
Abstract: The article considers the issue of creating a system for assessing the technical condition of heat exchange equipment using machine learning using the example of condenser tube contamination ...
Today’s AI-equipped machines are pushing yields to new heights, but at what cost to a farmer’s privacy? As machines capture millions of data points in real time, it begs the question: What happens to ...
The top five challenges facing maintenance professionals today are aging infrastructure and equipment; knowledge gaps among employees; lack of digitization and usable data; budget pressure and ...
Abstract: Predictive Maintenance (PdM) represents a transformative approach to industrial asset management, leveraging IoT sensors, artificial intelligence, and big data analytics to anticipate ...
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