لقد كان للثورة الرقمية التي ظهرت في القرن العشرين أثر في إحداث تأثيرات جذرية تضمنت نواحي الحياة المختلفة، خصوصًا في المجال الإقتصادي، والتي تمثلت بثلاث صور ( الذكاء الإصطناعيArtificial Intelligence( AI) وإنترنت الأشياء Internet of Things والبيانات الضخمة Big Data ، وفيما يتعلق بالذكاء الإصطناعي، فقد تم إكتشافهُ في منتصف خمسينات القرن الماضي الذي تعد الولادة الحقيقية لهُ في المؤتمر الذي نُظم في الولايات المتحدة الأمريكية على يد العالمان John McCarthyو Marvin Minsky ، وعلى مرًّ السنين تطورت تقنيات الذكاء الإصطناعي بشكل متسارع الى أن وصلت بعض التطبيقات أن تكون لها القدرة على التعلم الذاتي من المواقف التي تمرًّ بها، فتتصرف بأستقلالية وفقًا للظروف والمواقف المحيطة بها، كالطأئرات المسيَّرة ذاتيًا والسيارت ذاتية القيادة والروبوتات وغيرها، وعلى الرغم من الفوائد التي لاتُعّد ولا تُحصى للذكاء الإصطناعي وتطبيقاته في المجالات الطبية والعسكرية والتعليمة وغيرها، إلا أن لهذه التطبيقات أثر سلبي على الإنسان فقد نتج عن استخدامها المساس بالمصالح المحمية قانونًا، لذا يؤدي ظهورها ، التفكير بشكل جديَّ حول التأثيرات المستجدة التي ستُحدثها هذه التقنية الثورية بما تملكه من إمكانيات متطورة ومقدرة على التصرف بشكل ذاتي ودون الحاجة لأي تدخل بشري ، لذا تحتم ﻋﻠﻰ اﻟﻤﺸﺮع إﻋﺎدة ﺗﻜﯿﯿﻒ ﻗﻮاﻋﺪه اﻟﻘﺎﻧﻮﻧﯿﺔ ذات اﻟﻤﺪﻟﻮل اﻟﻮاﻗﻌﻲ واﻟﻤﺎدي من أجل التعامل ﻣﻊ واﻗﻊ إﻓﺘﺮاﺿﻲ ﻏﯿﺮ ﻣﻠﻤﻮس ﻓﻲ حالات متعددة تحديدًا ﻣﻊ مرحلة إﻧﺘﻘﺎل ﻓﻜﺮة اﻟﺬﻛﺎء الإﺻﻄﻨﺎﻋﻲ ﻣﻦ الإطار اﻟﻤﻌﻨﻮي ﻏﯿﺮ اﻟﻤﻠﻤﻮس واﻟﺨﺎص، إﻟﻰ الإطار اﻟﻤﺎدي اﻟﻤﺤﺴﻮس واﻟﻌﺎم، وﻣﻦ إطﺎر اﻟﺒﺮﻣﺠﯿﺎت سهلة التحكم إﻟﻰ ﻧﻈﺎم اﻟﺒﺮﻣﺠﯿﺎت اﻟﺬﻛﯿﺔ، ﺳﻮاء تعلق هذا الأمر بتطور قدرات البشر أو تطوير تطبيقات الذكاء الإصطناعي من الناحية الفيزيائية أو المادية بصورة تحاكي البشر في تصرفاتهم وأفعالهم لذا الحاجة تستدعي التأطير القانوني للقواعد التي تحكم هذا الذكاء وتحديد المسؤولية المدنية والجنائية بصورتي العمد والخطأ الناجمة عن كل أخلال يصيب المصالح المحمية. Abstract The digital revolution that emerged in the twentieth century had a radical impact on various aspects of life, especially in the economic industry, which included three forms (Artificial Intelligence (AI), the Internet of Things, and Big Data. With regard to artificial intelligence, it was discovered in the mid-fifties of the last century, and its real birth was at the conference organized in the United States of America by the scientists John McCarthy and Marvin Minsky. Over the years, artificial intelligence techniques have developed rapidly until some applications have reached the ability to self-learn from the situations that they encounter and act independently according to the circumstances and situations surrounding it, such as drones, driverless cars, robots, etc., and despite the countless benefits of artificial intelligence and its applications in the medical, military, educational, and other fields, these applications have a negative impact on humans, which may result in using it to harm legally protected interests. Therefore, the emergence of artificial intelligence applications leads to serious thinking about the new effects that this revolutionary technology will have with its advanced capabilities and the ability to act independently and without the need for any intervention .Therefore, it is necessary for the legislator to readapt its legal rules with a realistic and material meaning in order to deal with a hypothetical, intangible occurrence occurs in several cases, specifically with the transition of the idea of artificial intelligence from the established framework from the intangible and private intention, to the concrete, tangible and public framework, and from the easy-to-control software framework to the intelligent software system, whether this matter relates to the development of human capabilities or the development of artificial intelligence applications from a physical or physical perspective in a way that mimics humans in their behavior and actions. Therefore, the need demands for legal framing of the rules that govern this intelligence and determining civil and criminal liability weather it is intentionality and unintentionally that resulting from every breach of the protected interest
The present study examines the main points of differences in the subject of greetings between the English language and the Arabic language. From the review of the related literature on greetings in both languages, it is found that Arabic greeting formulas are more elaborate than the English greetings, because of the differences in the social customs and the Arabic traditions and the Arabic culture. It is also found that Arabic greetings carry a religious meaning basing on the Islamic principle of “the same or more so”, which might lead to untranslatable loopholes when rendered in English.
واقع العلاقات التركية الالمانية والبحث عن نموذج للاستقرار
Social Networking has dominated the whole world by providing a platform of information dissemination. Usually people share information without knowing its truthfulness. Nowadays Social Networks are used for gaining influence in many fields like in elections, advertisements etc. It is not surprising that social media has become a weapon for manipulating sentiments by spreading disinformation. Propaganda is one of the systematic and deliberate attempts used for influencing people for the political, religious gains. In this research paper, efforts were made to classify Propagandist text from Non-Propagandist text using supervised machine learning algorithms. Data was collected from the news sources from July 2018-August 2018. After annota
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Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease that impairs speech, social interaction, and behavior. Machine learning is a field of artificial intelligence that focuses on creating algorithms that can learn patterns and make ASD classification based on input data. The results of using machine learning algorithms to categorize ASD have been inconsistent. More research is needed to improve the accuracy of the classification of ASD. To address this, deep learning such as 1D CNN has been proposed as an alternative for the classification of ASD detection. The proposed techniques are evaluated on publicly available three different ASD datasets (children, Adults, and adolescents). Results strongly suggest that 1D
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Abstract
The objective of this research is to identify the analysis of the ethics of the administration in the development of the social responsibility of one government organizations, and to achieve the objectives of the research was the use of a questionnaire developed for the purpose of data collection and distribution to the research sample, was chosen as a total sample population (50) individuals were relying on statistical package to do a statistical analysis for this research, user, ANSI (SPSS) simple regression analysis, standard deviation, Pearson correlation coefficient.
Research findings show the role of social responsibility in achieving the university's strategy,
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Based economic units to technology to add innovations that lead to contribute to customer satisfaction, under intense competition and rapid development in customer taste, the economic units tend to apply the concepts that contribute to customer satisfaction led by the introduction of artificial intelligence techniques. In the production prominent role in the contributing and responding to the rapid changes in customer tastes, and consequent impact this in achieving customer satisfaction. Search gained importance of relying on artificial intelligence techniques to achieve customer satisfaction through speed of response to changes in the tastes of customers and thus be able to increase its market share، and sales growth، and to achieve a
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دور الذكاء الصناعي في تحقيق رضا الزبون وانعكاسه على محاسبة التكاليف بحث تطبيقي في شركة الصناعات الالكترونية
Hydro cracking of heavy oil is used in refinery to produce invaluable products. In this research, a model of hydro cracking reactor has been used to study the behavior of heavy oil in hydro cracking under the conditions recommended by literature in terms lumping of feed and products. The lumping scheme is based on five lumps include: heavy oil, vacuum oil, distillates, naphtha and gases. The first order kinetics was assumed for the conversion in the model and the system is modeled as an isothermal tubular reactor. MATLAB 6.1 was used to solve the model for a five lump scheme for different values of feed velocity, and temperature.
The levels of lead (pb), copper (cu), cobalt (co) and cadmium (cd) were determined in different kinds of milk and the health risks were evaluated. The mean levels were 0.73±0.21, 0.06±0.01, 0.12±0.01 and 0.14±0.01 ppm for these metals respectively. The levels of pb and cu were found to be insignificant differences (p<0.05), whereas the levels of co and cd, were no significant differences (p>0.05). The dry and liquid kinds of milk were different significantly (p<0.05), whereas the original, was no significant differences (p>0.05). The values for all metals were more than one. The metals pb and cd were detected at highest concentrations in most dry and liquid milk samples.
In the present study, a total of 245 flour samples were collected from 49 mills on both sides of Baghdad city (Al- Karkh and Al- Resafa), during the period from 1/6 - 1/12/ 2015 to detect the prolportion of iron added to the flour samples. It is found that only 45% of mills produced flour contain the prescribed percentage of iron (30-60 ppm) while 51.9% of the mills produced flour at rate is less or much more than the prescribed percentage, while only 4.1% of the mills were not added iron to the flour.