How the trade war endangers national security
Each F-35 Lightning II aircraft contains more than 900 pounds of rare earth elements. Each Virginia-class submarine has 9,200 pounds. Permanent magnets made from these materials are used to make Tomahawk missiles, Predator drones and the Joint Direct Attack Munition series of smart bombs.
Almost all of this material comes from China. The country accounts for nearly all of the world's processing of heavy rare earths — whose critical magnetic and optical properties are vital for defense systems. It also produces about 90 percent of rare earth magnets, used in everything from electric motors to turbines and electronics, for civilian and military use.
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13 hours ago
- Yahoo
Data centers are at the heart of the AI revolution and here's how they are changing
When you buy through links on our articles, Future and its syndication partners may earn a commission. As demand for AI and cloud computing soars, pundits are suggesting that the world is teetering on the edge of a potential data center crunch—where capacity can't keep up with the digital load. Concerns and the hype have led to plummeting vacancy rates: in Northern Virginia, the world's largest data center market, for example, vacancy rates have fallen below 1%. Echoing past fears of "peak oil" and "peak food," the spotlight now turns to "peak data." But rather than stall, the industry is evolving—adopting modular builds, renewable energy, and AI-optimized systems to redefine how tomorrow's data centers will power an increasingly digital world. Future data centers will increasingly move away from massive centralized facilities alone, embracing smaller, modular, and edge-based data centers. The sector is already splitting out in hyperscale data centers one end and smaller, edge-oriented facilities on the other. Smaller, modular and edge data centers can be built in a few months and tend to be located closer to end users to reduce latency. Unlike the huge campuses of hyperscale with facilities often covering millions of square feet these smaller data centers are sometimes built into repurposed buildings such as abandoned shopping malls, empty office towers, and factories in disuse, helping requalify ex-industrial brownfield areas. Leaner centers can be rapidly deployed, located closer to end users for reduced latency, and tailored to specific workloads such as autonomous vehicles and AR. To address energy demands and grid constraints, future data centers will increasingly be co-located with power generation facilities, such as nuclear or renewable plants. This reduces reliance on strained grid infrastructure and improves energy stability. Some companies are investing in nuclear power. Nuclear power provides massive, always-on power that is also free of carbon emissions. Modular reactors are being considered to overcome grid bottlenecks, long wait times for power delivery, and local utility limits. Similarly, they will be increasingly built in areas where the climate reduces operational strain. Lower cooling costs and access to water enables the use of energy-efficient liquid-cooling systems instead of air-cooling. We will be seeing more data centers pop up in places like Scandinavia and the Pacific Northwest. Artificial intelligence will play a major role in managing and optimizing data center operations, particularly for cooling and energy use. For instance, reinforcement learning algorithms are being used to cut energy use by optimizing cooling systems, achieving up to 21% energy savings. Similarly, fixes like replacing legacy servers with more energy-efficient machines, with newer chips or thermal design, can significantly expand compute capacity, without requiring new premises. Instead of only building new facilities, future capacity will be expanded by refreshing hardware with newer, denser, and more energy-efficient servers. This allows for more compute power in the same footprint, enabling quick scaling to meet surges in demand, particularly for AI workloads. These power-hungry centers are also putting a strain on electricity grids. Future data centers will leverage new solutions such as load shifting to optimize energy efficiency. Google is already partnering with PJM Interconnection, the largest electrical grid operator in North America, to leverage AI to automate tasks such as viability assessments of connection applications, thus enhancing grid efficiency. Issues are typically not due to lack of energy but insufficient transmission capacity. 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Yahoo
18 hours ago
- Yahoo
China's J-36 Very Heavy Stealth Tactical Jet Photographed Head-On For First Time
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Yahoo
2 days ago
- Yahoo
New IMV Study Reveals Key Trends in U.S. Breast Imaging: Procedure Growth, Equipment Plans, and Patient Priorities
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