Artificial Intelligence How Raises Productive Efficiency
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Artificial Intelligence How Raises Productive Efficiency
Author: Johnny Ch Lok
language: en
Publisher: Independently Published
Release Date: 2020-11-06
⦁Can (AI) technology replace human labour nature of work to raise better productivity and efficiency? On technological innovation reason view point, the history development of artificial intelligence studying the intelligence is one of most ancient scientific discipline. The history development of artificial intelligence what aims to achieve human use to sense, learn remember and think, logic probability, decision making and calculation develop from mathematics, instead of replacement human labor functions.Artificial intelligence history development aim is the scientific analysis of skills in connection and practice with the appearance of computers from 1950 year beginning. The artificial intelligence (AI) can deal with the ultimate challenges. How can ( either biological or electronic) mind sense, understand and manipulate a world that is much simple and more complex than itself? And what if would human like to construct something with such capabilities? The general-purpose software of the early period of (AI) were only able to solve simple tasks effectively and failed when which should be used in a wider range or an more difficult tasks. One of the sources of difficulty was that early software had very few or mix knowledge about the problems which handled, and activities successes by simply syntactic manipulation. Moreover, the other difficulty was that many problems that were tried to solve by the (AI) were untreatable. The early (AI) software whether trying step sequences based on the basic facts about the problem that should be solved, experimented with different combinations till which found a solution. From the end the 1960 year, developing the so-called expert systems were emphasized. These systems had ( sue-based) knowledge base about the field which handled. Till to the beginning of the 1970 year, ( Prolog) the logical programming language was born, which was built in the computation realization of a version of the resolution calculus. ( Prolog) is a remarkably prevalent tool in developing expert systems ( on medical, judiciary and other scopes), but natural language parsers were implemented in this language. Then, in 1981 s, the Japanese announced the fifth generation computer system project, a 10 years plan to build an intelligent computer system that use the ( Prolog) language as a machine code. Nowadays, (AI) can be applied any industries, such as car manufacturing industry can use (AI) technological machine-men manufacture car, instead of replacing human labors in factory. Even, in the future, using (AI) machine-men drivers can drive any private cars or public transportation tools, instead of replacing human drivers, e.g. bus, train, tram, ferry etc. Also in the future, machine-men can replace housewives to serve families to do housekeeping clean job, e.g. cleaning toilets, bathrooms, kitchens, even cooking functions at home. So (AI) machine-man can reduce housewives works at home. Moreover, (AI) machine man can take care old people, when who are living at homes or elder care centers. So, it seems artificial intelligence (AI) will be possible developed to manufacture a new generation machine-man to assist ( serve) families to do any simply cleaning or cooking jobs at homes. Moreover, the overall demand of ( AI) general social needs will also rise, such as security, driving transportation tools, restaurant cleaning, elder centers care service etc. (AI) will have chance often to practise to do its tasks every day. It is possible that it can improve worker individual simple job duty to raise productivity and efficiency to be fast.
Artificial Intelligence in Society
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Artificial Intelligence Raises Productive Efficiency
Applying (AI) technology to improve global daily food logistic transporation speed in warehousesFuture (AI) robotic machines can assist warehouse workers to deliver the accurate number and right different kinds of daily drinks, e.g. milk, orange juice, apply juice, soft drinks, milk, cheese, ice-cream etc. different kinds of soft drinks and food to different right loacations in efficient way and the fast transportation speed in warehouses. The research and insights committee indicated that it discovered U.S. daily food industry had no loger significant increases in gross dometic product and population expansion to drive domestic growth. So, it brings this challenge for U.S. daily food product manufacturers' cost savings / gains driven and production efficiencies will be possible caused to U.S. daily food product caused to U.S. daily food product manufacturers in domestic market. So, they ought consider how to expand overseas daily food product market to attempt to increase more different kinds of daily products to different countries. I shall recommend some solutions as below: U.S. daily food product manufacturers ought plan future five to ten year opportunities to drive the growth of daily / daily -based food products to overseas different countried. For example, Hong Kong, China, Japan Asia countries have many people who like to buy U.S. daily food to eat or drink, e.g. milk, cheese, ice-cream. So, they need have good identification of macro trends and a greater understanding of data-based key elements ( e.g. the country's demographic shifts, prediction of the country has how many people who like to eat or drink any kinds of daily food, e.g. Japan's one city Tokyo has how many people who like to eat or drink any kinds of U.S. daily food; finding every country's people whose food / eating behaviors, e.g. in what suitation which will influence Japanese have desire to buy daily food, such as the consumption group, e.g. prediction of young or old age Japanese number will like to eat or drink U.S. daily food in what time of one day for the old or young age Japaneses' eating habit, e.g. morning time, luch time or dinner time. So, the U.S. daily food manufactuers can follow the suitable time to prepare sell the accurate number to Japan. For example, if they predict there are 500,000 about Japanese young and old age people who like to buy U.S. daily food to eat or drink after dinner time in Tokyo city every week. Then, they can export enough different kinds of daily food number to Tokyo every week; retail channel shift, e.g. supermarket ot small retil store; food service promotion perspective, .e.g. newspaper or magazone or radio daily food service promotion channel choice to let the country people to know what kinds of U.S. daily food can be sole to the country. Then, these methods can help any U.S. daily food manufacturers have potential to predict the accurate consumption number to every coutries and U.S. itself to raise their daily food export or local sale number.