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科技科学

Making the case for context-aware AI

Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one. As companies look to move AI from experimentation into everyday operations, the challenge ahead…

MIT Technology Review·2026/10/22·MIT Technology Review Insights站内阅读全文
科技科学

AI’s hidden storage bill: What inference leaves behind

Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data that’s generated—from billions of daily prompts, images, and videos—needs…

MIT Technology Review·2026/10/22·Tim Rausch站内阅读全文
科技科学

In Science Journals

Science, Volume 394, Issue 6822, Page 394-396, October 2026.

Science·2026/10/22·Michael Funk, and Leslie Ferrarelli, Di Jiang, Yevgeniya Nusinovich, Jelena Stajic, Marc S. Lavine, Bianca Lopez, Michael A. Funk, Priscilla N. Kelly, Phil Szuromi, L. Bryan Ray, Sacha Vignieri, Jesse Smith, and Leoma Bere站内阅读全文
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