1. 人工智能AI是一个构建build能够can推理reason
、学习learn和行动act的计算机computers和机器machines的科学领域field
of science，这种推理inference、学习learn和行动act通常often需要require人类智力human
intelligence，或者涉及involve超出beyond人类human分析analyze能力ability的数据data规模scale 。
AI is the field of science, which builds computers and
machines that can inference, learn, and act. These kinds of inference, learn,
and act often require human intelligence or involve data on a scale beyond a
human's ability to analyze.
2. AI 是一个广博extensive的领域field ，涵盖covers许多不同的学科academic
discipline，包括计算机科学computer science、数据分析data analysis和统计statistics、硬件hardware和软件software工程engineering、语言学linguistics、神经学neurology，甚至even哲学philosophy和心理学psychology。
AI is an extensive field that covers many different
disciplines, including computer science, data analysis and statistics, hardware
and software engineering, linguistics, neurology, and even philosophy and
psychology.
3. 在业务business使用use的操作operational层面level上，AI 是一组set主要primarily基于based
on机器学习machine
learning和深度学习deep
learning(AI) 的技术technologies，用于use for 数据data 分析analysis、预测prediction、对象object分类classification、自然语言处理natural
language processing/NLP、推荐recommendation、智能intelligent数据data 检索retrieval等等。
At the operational level for business use, AI is a set of
technologies primarily based on machine learning and deep learning for data
analysis, prediction, object classification, natural language processing,
recommendation, intelligent data retrieval, and more.
4. 在业务business使用的操作operational层面上，AI 是一组set主要primarily基于based
on机器学习machine
learning和深度学习deep
learning的技术technologies，用于数据分析data
analysis、预测prediction、对象分类object
classification、自然语言处理natural language processing、推荐recommendation、智能数据检索intelligent
data retrieval等等。
At the operational level for business use, AI is a set of
technologies, primarily based on machine learning and deep learning, which is
used for data analysis, prediction, object classification, natural language
processing, recommendation, intelligent data retrieval, etc.
5.人工智能可以采用used多种方式进行to do组织organize，具体specifically取决depending于on开发develop阶段stage或正在being执行performed的操作operation。
AI can be used to organize in a variety of ways,
specifically depending on the stage of development or the operation being
performed.
6. 反应式机器：有限的 AI，仅only根据according
to预编程preprogrammed规则rules对for不同different类型types的刺激stimuli做出反应react
to。
Reactive Machines: Limited AI only responds to different
types of stimuli according to the pre-programmed rules.
7. 不使用内存memory，因此无法unable 通过新数据进行学习。
AI doesn’t use the memory, therefore it’s not able to learn
from new data.
8. 1997 年击败defeated国际象棋冠军加里Garry
•卡斯帕罗夫Kasparov的 IBM 深蓝Deep
Blue超级计算机supercomputer就是反应式机器reactive
machine的一个例子example。
IBM's Deep Blue supercomputer, which defeated International
Chess Champion Garry Kasparov in 1997, is an example of a reactive machine.
9. 有限内存：大多数现代 AI 都被视为considered具有to
have有限内存limited
memory的
AI。
Limited memory: Most modern AI is considered as AI with (having)
a limited memory.
10. 它可以can通过使用use新数据new
data（通常usually是通过through人工神经网络artificial
neural network或其他other训练training模型model）进行训练，从而thus使用内存memory随着时间over
time的推移develops而and改进improves。
It can be trained by using new data (usually through an
artificial neural network or other training model), thus by using memory, it
will develop and improve over time.
