During this course, I have firstly contacted with artificial intelligence (AI). Through the teacher’s explanation, I have some simple perceptual knowledge of AI technology. I think AI is a challenging science. People who engage in this work should not only understand computer knowledge, but also understand psychology and philosophy. As human beings are still exploring their own thinking laws and intelligent behavior, AI technology is still an open and young subject. In recent years, the research of AI technology has become more and more popular. And new ideas, new theories and new methods are constantly emerging. As a result, AI technology has been developed in many fields and it has played an important role in our daily life and learning.

 

Through this lesson, I understand the development of AI technology, which is always at the forefront of the development of computers. I believe that AI technology will be realized further in the near future and will create a new world of AI. AI technology has not yet been popularized in people’s lives, but it has sprouted. For example, the speech recognition system, such as the Apple Corp Siri, is probably the most contact with people of AI technology and cloud based technology products. I believe this prototype human-computer interaction system in the future will form a perfectly intelligent system from the interface to the time honed. In social life, AI, which is closely integrated with digital image processing technology, has begun to be applied to image capturing and recognition of cameras. The development of pattern recognition technology makes AI technology possible in wider fields. It is no doubt that the investment and research of some big companies in the field of artificial intelligence have played a great role in promoting the development of AI technology.

 

As a designer, I believe AI technology would be closely related to my future work. I have an intuitive understanding of the possible direction of future AI technology. I was inspired by movies and many frontiers, so that I started to dig and explore the possible agreement between the design field and the AI technology. After the course, I started rethinking the future direction of AI technology in the field of industrial design, graphic design, and interactive design. In the age of AI, there are no longer needs for manual labor or technological labor. And those designers who focus on technology cannot earn money, which forces them to create creative jobs. This is also a very important factor in the development of science and technology.

 

So in the future, design industries will not disappear and demand will not disappear. But their vested interests and their forms have changed. Although the roles and methods are different, the demand for design still exists. In the future, only the truly creative designer can gain the benefit of the market.

 

In the future, the design will respond more to the need that the user has not yet expressed, rather than to respond to the need of the user. The expression is that future products can and should know the next step of the user earlier than the user and respond in advance. As a designer, I hope in the future study, I could gain more in-depth understanding and mastery of the fundamental concepts of AI technology. And on this basis, I could know what AI technology can already do, which would give full play to the products of imagination.

 

 

 

Digital design work does not pursue certainty, but benefits from uncertainty. The digital design of AI technology does not aim at getting the right answer, but can create uncertainty and then enlighten the designer. The bottleneck of human creation is the experience, logic and method of human beings. Digital design requires creativity and emotion, which happen to be a more important link to the role of AI technology and human nature in the age of intelligence (Vlachodimos, 2016). Therefore, the relationship between digital design and AI technology is far more profound and complex than the replacement of work.

 

From the narrow point of view, with the development of AI technology e and the further development of science and technology, there will be more different digital designer roles, such as the digital design of the physical world. In a broad sense, AI technology is further advancing the process of democratization of digital design. When designers input requests simply, they produce hundreds of design plans quickly, while designers only choose to pick the ones they like, or constantly reassemble them until they produce the most satisfactory results (Miyake, 2017).

 

The growth of machine ability makes the human brain grow more space, but it also will promote the evolution of the human brain. When machines can help people undertake more repetitive tasks, it will stimulate the creativity of human brain. The digital design requires AI technology to assist the convolution. Intelligent digital design of the existing practice, has begun a new digital design role (Nissan, 2015). The digital designer is no longer required to provide a clear digital design result. Maybe it is a way to digital design data to structuralism and algorithm optimization. Maybe it can provide feedback to the machine about the digital design’s evaluation.

 

 

In summary, AI technology makes the machine capacity growing makes the digital design to further reduce the threshold, the special need of the digital original design capacity, but limited by time and cost jobs. With AI technology, digital design is becoming more and more independent. Hidden behind this phenomenon is not only the digital design ability and the decreasing digital design cost, but also the ability of AI technology to provide more and more accurate digital design.

 

Reference

Vlachodimos, G. (2016). ”The coherence between smart objects and Artificial Intelligence in architectural digital design process.”. InPlay 2016 International Conference and Summer School.

 

Miyake, Y. (2017). Current status of applying artificial intelligence in digital games. Journal of the Japanese Society for Artificial Intelligence,30, 45-64.

 

Nissan, E. (2015). Digital technologies and artificial intelligence’s present and foreseeable impact on lawyering, judging, policing and law enforcement. Ai & Society, 1-24.

 

Although the concept of artificial intelligence was proposed in the 1950s, there has been no significant technological progress due to the computing ability of the computer at that time. Nowadays, with the increasing computing ability, the emergence of cloud computing, big data, virtualization and other technologies has made AI technology possible. Of course, AI technology also comes from the data center. Data center has computing, data and network resources. At the same time, AI can be applied to the data center to the greatest extent.

 

At first, AI technology depends on massive data and it uses massive samples machine learning, so the algorithm is optimal. If the sample is not enough, it will lead to inaccuracy or even wrong algorithm. The natural data center is a massive database, every generation and forwarding the data in the exponential growth. With these data, it can get a lot of meaningful data by using big data technology to the analysis (Dawson, et al., 2009).

 

And then, AI technology depends on computing, and only high-speed computing ability can complete the assigned task in a short time. The current data centers use the network for distributed computing, which greatly improves the computing ability. AI technology should be calculated when doing any work and then send out operation instructions according to the result of the calculation. Where is the data center? This is the computing center. The most missing part is thousands of servers, which can be added to the calculation data (Llewellynn, et al., 2017).

 

At last, AI technology depends on the calculation of cost reduction. Development and popularization of data center make the unit computation cost very low. AI technology is no longer so far away. The cost is no longer the stumbling block in front of AI technology. The larger the scale of the data center is, the lower the cost of computing, and AI technology will have a chance to play a role (O’Hare, et al., 2007).

 

In summary, AI technology and data center are a complementary relationship. Data center provides artificial intelligence with more technological support and creative possibilities. AI technology also brings great benefits to data centers, especially when applied to robot technology. The development of AI technology needs the data center, and the development of the data center will also be inseparable from AI technology.

 

Reference

Dawson, E., Reay, S., Macmillan, S., Flower, S., & Shanahan, T. (2009). Quality control procedures at the World Data Centre for Geomagnetism (Edinburgh). Iaga, Scientific Assembly, Sopron, Hungary, 23-30 Aug (pp.530-537).

 

Llewellynn, T., Fricker, S., Fricker, S., Leufgen, K., Leufgen, K., & Leufgen, K., et al. (2017). BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited paper. Computing Frontiers Conference (pp.299-304). ACM.

 

O’Hare, G. M., O’Grady, M. J., Tynan, R., Muldoon, C., Kolar, H. R., & Ruzzelli, A. G., et al. (2007). Embedding intelligent decision making within complex dynamic environments. Artificial Intelligence Review, 27(2-3), 189-201.

 

When human beings are trying to delegate part of their thinking to machines, the compass that indicates the direction of the world’s economic development points to AI technology. In particular, after the superposition of the factors, the world has the opportunity to create a new way of life. Needless to say, it is also a new opportunity for economic growth.

 

With the gradual improvement of the information infrastructure, AI technology accelerates the landing and enters the period of the application. The birth of AI technology is driven mainly by business need, especially the demand for the Internet. Although it is unprecedented in the scope and depth of the traditional industry, it is also facing the problem of industrialization (Bundy, 2017). For example, the emergence of self-driving has subverted the way of transportation. And the introduction of big data to the retail industry has become more “smart” and “considerate”. In addition, the manufacturing industry has achieved fine management and personalized customization. Information technology is convenient for people to live, to create new models and new formats, and to inject more vitality into the economic development.

 

It can be seen that, unlike in the past, AI technology is accompanied by the practical application to life and work. It is the progress of science and technology, which has been embedded in a very wide life scenario (Russell, Moskowitz & Raglin, 2017). AI technology will have a profound impact on every industry and even everyone’s life such as intelligent network of automobile, intelligent service robot, medical image aided diagnosis system, video image identification system, and so on.

 

In recent years, the application AI technology has made rapid progress. And the intelligent economy and intelligent society have achieved remarkable results. AI technology, represented by image recognition, object tracking and unmanned driving, has been applied in many industries. The intelligent revolution of industrial technology has made more and more people enjoy the development of dividends in the more and more extensive fields (Hernndez-Orallo, 2017).

 

In summary, to accelerate the industrialization and application is the key point in the development of AI technology. The integration of information technology and manufacturing technology should be taken as the main line to promote the industrialization and integrated application of the new generation of AI technology.

 

Reference

 

Bundy, A. (2017). Preparing for the future of artificial intelligence. Ai & Society, 32(2), 285-287.

 

Hernndez-Orallo, J. (2017). The Measure of All Minds: Evaluating Natural and Artificial Intelligence. Cambridge University Press.

 

Russell, S., Moskowitz, I. S., & Raglin, A. (2017). Human Information Interaction, Artificial Intelligence, and Errors. Autonomy and Artificial Intelligence: A Threat or Savior?.

 

What can AI do in the retail field? AI technology could be applied in every field of the retail industry. They used to make decisions by the experience of the retailers, but in the information age, these can be made with precise algorithms. In recent years, the main functions of AI application in the retail industry are customer service, real time pricing promotion, sales forecast, replenishment forecast and so on (Cruz-Domínguez, & Santos-Mayorga, 2016). All instructions are presented by AI technology. The application of AI technology will become a big trend and will be popularized to the whole platform. In addition, e-commerce will benefit from AI technology from the marketing point to the vital personalized service to improve customer satisfaction.

 

In retail, the biggest challenge for AI technology is to understand the need of the user, especially the user’s need. Who is the user? What kind of goods do users need? What service do users need? At what price do users expect to buy it? AI technology is still around the user to solve the problem. At the same time, AI technology can truly solve the overcapacity in the retail supply chain and the phenomenon of unmarketable products (Wong, et al., 2013). If the whole supply chain can be visualized, there is a market forecast of big data, which can tell the industry a more accurate market demand. According to the need of the industry to do procurement and fund preparation, the price of goods automatically comes down.

 

In other words, high quality goods actually depend on a strong supply chain, and the AI technology is behind the supply chain. At this point, there are relatively complete and large number of data in the e-commerce retail enterprises, from users to visit, browse the track to order, logistics distribution, after sale evaluation (Russell & Norvig, 2010). At present, many companies begin to share data, and achieve supply chain collaboration. With the ability of AI technology, it is easy to see that is become a powerful tool for retailers. This is a gospel for retailers who hope to accurately predict demand, anticipate customer behavior, optimize and personalize their customer experience.

 

In summary, AI technology will be the basis for retail innovation, which has been recognized by half of the global retailers. AI technology can achieve scale, automation and unprecedented accuracy. When applied to customer segmentation and context interaction, it can promote customer experience.

 

 

Reference

 

124. Cruz-Domínguez, & R. Santos-Mayorga. (2016). Artificial intelligence applied to assigned merchandise location in retail sales systems. South African Journal of Industrial Engineering, 27(1), 112-124.

 

Russell, S. J., & Norvig, P. (2010). Artificial intelligence: a modern approach. Applied Mechanics & Materials, 263(5), 2829-2833.

 

Wong, W. K., Guo, Z. X., & Leung, S. Y. S. (2013). Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail. Woodhead Publishing Ltd.

 

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Researchers combine artificial intelligence (AI) technology with knowledge in various fields of construction industry, making AI technology widely applied in the construction industry. The application of artificial intelligence in building planning as well as an architectural structure has been used in the construction industry to achieve good economic and social benefits.

 

On the one hand, AI is used for building planning. The traditional construction management mainly depends on the manual recording of the construction related processes and the artificial drawing of the construction plan. For the development and wide application of AI technology, building site management has been widely applied by means of operational research, mathematical logic and AI technology. As a result, the construction enterprise site management application system based on the C/S environment framework covers all aspects of the site management (Arditi & Pulket, 2010). The AI system uses a strong database, with stable performance, very strong data storage and processing capability, convenient upgrade and maintenance services. In view of the complex characteristics of the site personnel, AI technology has set a strict authority management function to ensure the security of the data. The general project will be subcontracted in the process of construction (Chan & Seah, 2011).

 

On the other hand, AI technology is applied in architectural structure. With the continuous occurrence of geological disasters and its serious harm, building structure control and structural health diagnosis is particularly important. The traditional identification method of the structural system is difficult to identify, which is only suitable for linear structural system identification and poor anti-noise ability. In recent years, with the application of AI technology, the structural system identification method of artificial neural network, fuzzy neural networks with strong nonlinear mapping ability and the ability to learn, to structure dynamic test response data to establish the model of the dynamic characteristics of the structure (Aziz, et al., 2014). The fuzzy neural network can accurately predict the dynamic structure in arbitrary dynamic response, so it not only can be used in structural vibration control and health diagnosis, but also can join other identification methods are summarized in the rules with strong scalability and practicability (Williams & Mcowan, 2016).

 

In summary, AI technology could be used in construction of a smart city. It will be embodied in many fields, such as intelligent transportation, smart home, intelligent management and so on. Such an application of AI is going to integrate new information technology into urban planning and construction management, including intelligent community management and urban management in smart city.

 

Reference

 

Arditi, D., & Pulket, T. (2010). Predicting the outcome of construction litigation using an integrated artificial intelligence model. Journal of Computing in Civil Engineering, 24(1), 73-80.

Aziz, R. F., Hafez, S. M., & Abuel-Magd, Y. R. (2014). Smart optimization for mega construction projects using artificial intelligence. Alexandria Engineering Journal, 53(3), 591-606.

Chan, K. T., & Seah, E. (2011). Optimizing portfolio construction using artificial intelligence. International Conference on Computer Sciences and Convergence Information Technology (Vol.3, pp.338-343). IEEE.

Williams, H., & Mcowan, P. W. (2016). Magic in pieces: an analysis of magic trick construction using artificial intelligence as a design aid. Applied Artificial Intelligence, 30(1), 16-28.