A single short GPT-4o query consumes 0.43 Wh of electricity. Scale that to 700 million queries per day, and the annual electricity consumption equals 35,000 U.S. residential households, or 50...
Medical AI projects routinely deal with scanned documents and images that contain sensitive patient information. Extracting insights from these visuals is crucial – but so is protecting patient privacy. Traditionally,...
How is AI improving hospital capacity forecasting? Hospital systems face constant pressure to balance patient demand with finite resources. AI-driven capacity forecasting provides hospitals with the predictive intelligence needed to...
TL;DR Summary As AI becomes embedded in clinical workflows, hospitals must transition from "trust by default" to a Zero Trust AI (ZTAI) architecture. This approach treats AI models and their...
Why bigger isn’t always better: The paradigm shift in AI model development For years, the benchmark of AI innovation was model size, parameter counts defined power. But in healthcare, this...
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