人工智能

w tools, which will also likely lead to a new wave of innovations and jobs.” Fred Baker, Inter pioneer, longtime leader in the IETF and Cisco Systems Fellow, responded, “My observation of advances in

nsider the likely influences of AI in a typical North American city by the year 2030, the 20xx Study Panel, prising experts in AI and other relevant areas focused their attention on eight domains

............................35 AI and Cybersecurity ...................................................................................................................................................

shift from. Research consistently finds that the jobs that are threatened by automation are highly concentrated among lowerpaid, lowerskilled, and lesseducated workers. This means that automation

ntelligence‘, using them to refer to related but distinct ideas. As these techniques have been applied in different business areas they‘ve bee relevant to other tasks – so they‘re likely to feature

为训练人工智能提供了原材料（参阅图 1），巨型数据 库、十几年累积的搜索结果，乃至整个互联网都让人工智能变得更聪明。 人工智能从庞 大的、复杂的、无序的个体数据中发现更为本质、更能解释世界的规律，并复合多个规 律共同作用，以解决问题。 人工智能的三种主要技术，都需要专有类型的数据。 机器学习，例如计算机视觉、 情感分析、自然语言处理等技术，需要大量的标签样本数据。 模式识别，例如文字、语 音

5 贪婪算法扩展结点数为 4 所以在求解该问题时，贪婪算法的效率最高，其次是 A*算法，然后是 BFS算法，最后是 DFS 算法。 但是贪婪算法和 A*算法生成的节点数依赖于启发函数的值，因此虽然对于本题来说贪婪算法和 A*算法的效率很高，但是不能说在所有搜索问题中贪婪算法和 A*算法的效率都是最高的。 1）深度优先搜索 // v0起始节点 vg目标节点 // // Expand返回扩展结点数

is available at . [149] 12. Yehoshua BarHillel， “The Present Status of Automatic Translation of Languages， ”Advances in Computers， Vol. 1， No. 1， pp. 91–163， 1960. [149] 13. In D. V. Blake and A. M.