AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...
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From early cars to generative AI, new technologies create demand for specialized materials
Generative artificial intelligence has become widely accepted as a tool that increases productivity. Yet the technology is far from mature. Large language models advance rapidly from one generation to ...
Applied Materials beats forecasts and predicts higher AI chip demand in 2026, but stock falls anyway
Semiconductor industry giant Applied Materials Inc. beat expectations for its latest financial results and forecast higher sales in the coming year thanks to artificial intelligence demand, but its ...
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Why the US Military Could Lose the Contest for Materials Crucial to AI
AI’s bottleneck is physical—competition for power, land, and metals risks sidelining US military needs as commercial AI ...
If AI were a bubble, Big Tech wouldn’t be pouring trillions into compute — 2026 will be defined by who controls inference power.
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For more than three decades, I’ve worked at the intersection of resource extraction, land stewardship, water systems and emerging technologies. I’ve seen industries evolve, sometimes dramatically. I ...
The industry is slowly coming to the realization that AI is not a magic spell for automatically boosting revenue and efficiency, but the tech world shows ...
Data centers are springing up across tropical Latin America, Southeast Asia, Indonesia and Africa. But these facilities are often unlike those of the recent past. Today’s advanced data centers are ...
With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI offers a solution.
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