scholarly journals Implementation of Artificial Intelligence in Restaurants

2021 ◽  
Vol 4 (1) ◽  
pp. 73-86
Author(s):  
Sergii Neilenko ◽  
Valentyna Rusavska

The topicality. In recent years, there has been a need to study the artificial intelligence use for the operation of restaurants, as in Ukraine (and in most countries) there is no such experience. The use of artificial intelligence systems customer-to-customer and item-to-item will ensure the quality of food delivery sites, which will allow you to analyze the order of the guest and identify the patterns of his preferences thus, automatically ask him to choose a certain set, dish and successful additions to the order, which will increase the average check, or choose new establishments that will help them enter the market of restaurant services. Purpose and methods. The purpose of the study is to analyze the current state, determine the prospects for the application of existing robotic technologies in the technological process of restaurants and develop a robotization scheme of the technological process of restaurants such as salad bar. Methods are in the course of research the methods of logical generalization concerning development of the robotization scheme of technological process which were carried out by means of the computer ArchiCaD program were applied. Results. The problem of introduction and the artificial intelligence use are studied by scientists and researchers in various fields of science. Considering their scientific works, it can be noted that artificial intelligence is already actively used for the manufacture of culinary products in foreign restaurants. There are known examples of the use of barista robots, pizza robots, salad maker robots, burger maker robots, etc. The study developed the robotization scheme of the technological process of salad bar, consisting of three stages. The first stage is the service of visitors in the shopping area, where the selection of the order, payment through the terminal and the subsequent automatic receipt of culinary products and beverages. The second stage is the preparation of semi-finished products in the procurement area. This process is controlled by a chef-operator, who controls the required number of semi-finished products and cleans and cuts vegetables, fruits, meat and fish products using machines for cleaning and slicing culinary products. The program provides for the analysis of the balance and the required number of semi-finished products and the choice of components for the preparation of salads with artificial intelligence. The third stage is the automatic preparation of salad in the pre-cooking production area. The artificial intelligence placed in the system analyzes the guest’s order and activates the containers with the necessary ingredients, mixes them and unloads them into a container covered with a plastic lid, and the robot stamping element leaves the order number on the lid. The proposed scheme provides for compliance with sanitary and hygienic standards for institutions of this type. With the developed system of production activities, the required number of employees will be 5 people: cleaner in the trade area, dishwasher, tray packer, cook-operator of the pre-cooking area and system administrator of artificial intelligence. Conclusions and discussions. The authors analyze the current state, identify prospects for the application of existing robotic technologies in the technological process of restaurants and developed a robotization scheme of the technological process on the example of a salad bar. The developed scheme consists of three stages: service of visitors, preparation of semi-finished products and automatic preparation of finished goods. It is assumed that the implementation of the developed system will speed up the process of customer service, reduce the area of production facilities and, accordingly, increase the restaurant turnover.

Author(s):  
Nagla Rizk

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.


2021 ◽  
Vol 7 (1) ◽  
pp. 170
Author(s):  
Iris Sumariyanto ◽  
Asep Adang Supriyadi ◽  
I Nengah Putra A

<p>Acts of terrorism are crimes and serious violations of human rights, also the threat of violence that can cause mass casualties and destruction of vital strategic objects. This is an urgent threat that needs to be prepared by designing a bomb detector conceptual design as anticipation of the threat of terrorism in public services. This study aims to obtain operational requirements and conceptual design of bomb detectors as detection of terrorism threats in public services. This study uses a mixed-method with a systems engineering approach and a life cycle model to produce a technological design. The results of operational requirements are sensors, standards, artificial intelligence, integration capability, reliability, calibration mode, portable, and easy to maintain. The configuration design is divided into three stages, namely, 1) sensors including a camera security surveillance system vector image, metal detectors, explosive detectors, and A-jamming; 2) as a processing device, processes an order with the help of an artificial intelligence system; and 3)  a security computer (surveillance), early warning, and mobile information to provide information to related agencies, especially the anti-terror unit.</p>


2021 ◽  
Vol 12 (4) ◽  
pp. 35-42
Author(s):  
Thomas Alan Woolman ◽  
Philip Lee

There are significant challenges and opportunities facing the economies of the United States in the coming decades of the 21st century that are being driven by elements of technological unemployment. Deep learning systems, an advanced form of machine learning that is often referred to as artificial intelligence, is presently reshaping many aspects of traditional digital communication technology employment, primarily network system administration and network security system design and maintenance. This paper provides an overview of the current state-of-the-art developments associated with deep learning and artificial intelligence and the ongoing revolutions that this technology is having not only on the field of digital communication systems but also related technology fields. This paper will also explore issues and concerns related to past technological unemployment challenges, as well as opportunities that may be present as a result of these ongoing technological upheavals.


2021 ◽  
pp. 11-22
Author(s):  
Galina Andreeva ◽  

This review summarizes the statements of Russian scientists about the current state of scientific development of issues of legal regulation of AI, the complexities of the problems facing scientists and the assessment of the proposed ways to solve them in the most important aspects of legal regulation of AI.


European View ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Alex Leveringhaus

This article discusses the need for an ethical framework for emerging robotic technologies. The temptation, arguably driven by sci-fi treatments of artificial intelligence, is to ask whether future robots should be considered quasi-humans. This article argues that such sci-fi scenarios have little relevance for current technological developments in robotics, nor for ethical approaches to the subject: for the foreseeable future robots will merely be useful tools. In response to emerging robotic technologies, this article proposes an ethical framework that makes a commitment to human rights, human dignity and responsibility a central priority for those developing robots. At a policy level, this entails (1) assessing whether the use of particular robots would result in human rights violations and (2) creating adequate institutions through which human individuals can be held responsible for what robots do.


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