三星和 Google 这次展现的「Gemini 自动任务」能力,能够模仿人类操作手机,从而实现任务的自动化。背后的实现思路,是 AI 读屏理解 + 系统底层/应用层 API 的双重路径。
To find these crucial border points, we employed a clever technique based on the Ford-Fulkerson algorithm. By simulating "flooding" roads with traffic from random start/end points, we could identify the natural bottlenecks – the "minimum cut" in graph theory terms. These bottlenecks became our border points.
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