A computational framework for tracking grain boundaries in 3D image data: Quantifying boundary curvatures and velocities in polycrystalline materials

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Anthropic has therefore worked proactively to deploy our models to the Department of War and the intelligence community. We were the first frontier AI company to deploy our models in the US government’s classified networks, the first to deploy them at the National Laboratories, and the first to provide custom models for national security customers. Claude is extensively deployed across the Department of War and other national security agencies for mission-critical applications, such as intelligence analysis, modeling and simulation, operational planning, cyber operations, and more.

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"Computing demand is growing exponentially," boss Jensen Huang said. "Our customers are racing to invest in AI compute - the factories powering the AI industrial revolution and their future growth."

But the triumphance of V3 is in the addSourceBuffer hook which solves a subtle problem. In earlier versions, hooking SourceBuffer.prototype.appendBuffer at the prototype level had a vulnerability in that if fermaw’s player cached a direct reference to appendBuffer before the hook was installed (i.e., const myAppend = sourceBuffer.appendBuffer; myAppend.call(sb, data)), the hook would never fire. The player would bypass the prototype entirely and call the original native function through its cached reference.

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