人工智能for a Smaller and Smarter World

人工智能被称为本世纪的技能，尽管当前对AI的歇斯底里使我们认为这是炒作还是现实。在当今世界，人工智能研究是持续不断的，并且不断增长。我们已经接受了这项技术，我们中的许多人都喜欢它，无法想象没有它的生活。因此，实际上，事实是AI已经在我们的日常生活中发挥了积极作用。

So let’s see how AI has evolved over time.

AI的历史

The term artificial intelligence was first coined by John McCarthy in 1956 when he held the first academic conference on the subject. But the journey to understand if machines can truly think began much before that. Vannevar Bush and Alan Turing worked on subjects like machines being able to simulate human beings and apply intelligence.

什么是人工智能？

人工智能cannot be just defined by robots and machines, it is a broad branch of computer science which concerns with smart machine/system which can perform tasks that typically require human intelligence. These systems are powered by machine learning and deep learning. AI tasks include visual perception, decision-making, translation, speech recognition, etc. Search and optimization, NLP and Knowledge representation, computer vision, fuzzy systems, machine learning and probabilistic reasoning, planning and decision making, neural networks are the main research areas within AI. Among these, neural networks, machine learning, and probabilistic reasoning and computer vision show the largest volume of research growth.

AI possibly might develop seven stages in the next 15-20 years. Lets see what are those.

1. Rule-Based Systems — which includes domestic applications and RPA software in our daily life and business.

2.——这些algorit上下文感知和保留hms build up a body of information about the specific domain they are being applied in. Their knowledge base can be updated as new situation arises. For example, chatbots- often used in frontline customer enquiry handling and roboadvisors – which may suggest an investment plan.

3.领域特定的专业知识 - 可以在特定领域中发展专业知识的机器，该领域由于所有信息访问而超出了人类的能力并做出快速决定。其中最有用的应用之一是在癌症诊断中。最常见的例子是Google Deepmind的Alphago。

4. Reasoning Machines — these algorithms have a “theory of mind,” like sense of beliefs, intentions, knowledge, and they aware of how their own logic works. Hence, they have the capacity to reason, negotiate, and interact with humans and other machines.Such algorithms are currently at the development stage, but we can expect their arrival in the next few years.

5.自我意识系统 /人工通用智能（AGI） - 目前适用于从事AI的人，这是主要目标 - 创建具有类似人类智力的系统。有人说，我们可能能够在另外五年内看到这样的系统，而另一些人认为我们可能永远无法达到这一水平的机器智能。

6.人工超级智能 - 开发能够超过每个领域中最聪明的人类的AI算法。一些专家预测，在未来十年中，在科学，经济学领域，可能会解决一些当前世界问题的突破。但是，关于何时以及是否可以使用这种能力，有不同的看法。

7.奇点和超越,ASI发展could lead to a massive expansion of human capability. And one day human brains could connect to each other and to a future successor of the current internet. This could allow us to share ideas and solve problems collectively. Also, in a further stage, we may be able to connect to other forms of intelligence like plants, animals, etc. Some expert says we could see this Singularity happen by 2045 as a result of exponential rates of development across a range of science and technology disciplines and of course, some say that it is never possible.

Why do you have to learn Artificial Intelligence?

Despite the exponential growth in the field of artificial intelligence, there is a skill shortage. A profession in Artificial Intelligence can be realized in practically all industries, like healthcare, finance, agriculture, education, manufacturing, defense, research, transportation, marketing, etc. For a future-proof career, you will require proficiency in artificial intelligence. AI job roles include researcher, machine learning engineer, data scientist, big data architect, business intelligence developer, and computer vision engineer. Most of these in-demand jobs require similar skills, including strength in mathematics and programming skills.

AI是一个不断成长，变化和研究人工智能的领域，为世界带来了机会。它可以帮助您从事有利可图的工作，管理大量数据，改善灾难管理，从而使整个社会受益。根据加特纳（Gartner）的最新报告，在180万个AI将摆脱AI的工作中，新兴领域将创建230万。在接下来的五到十年中，与AI相关的任何事物都将有工作增长。而且，这就是您应该关心学习AI的原因。

AI的未来

2020–2025

• 机器人将进入冒险的工作。从清洁污水到战斗开火和扩散炸弹，不冒险。
• Use of new software applications that use AI to help doctors diagnoseand treat patients. Wearable devices that transmit medical datato patient’s doctor.
• AI可以在拍摄的那一刻自动编辑您的照片。
• Product design and development in sectors like fashion, consumergoods, manufacturing etc. could increasingly be undertaken and tested by AI.
• 个人将在从旅行到银行，储蓄和保险的领域中拥有个性化的产品和服务。
• AI will be deployed in almost all government agencies.
• For most of the businesses, 70% of client engagements to be managed by AI.
• Driver-less vehicles will start appearing in many cities across the world.
• Personal assistants will be managing most part of our lives like compiling information for meetings, travel, shopping, etc.

2026–2035

• Globally approved, smart crypto tokens may be accepted alongside fiat money.
• 人工智能is likely to be dispersed in every commercial sector.
• 全自动银行，旅行社和保险公司的出现。
• 人造动物和生态系统智力的发展。
• The emergence of self-aware and self-replicating software systems and robots

让我们拥抱一个更聪明的世界

Considering the pace of AI developments we can expect some breakthroughs which will be able to blow our minds. But to achieve final 3 stages of AI, massive developments are required in different areas like neural networks, deep learning and neuroscience. Over the next two decades, we are likely to experience many transformations powered by smart machines that touches every aspect of our lives. AI may successfully be able to come close to a level where the difference between human and machines are undetectable. Some ground-breaker inventions might happen in a few years or might not take place in our lifetime, but it is inevitable. There is no point in fearing the change if it is inevitable, all we need to do is learn and adapt it.