Artificial Intelligence

2020 ◽  
pp. 48-69
Author(s):  
Daeyeol Lee
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Building Blocks ◽  
Human Intelligence ◽  
Intelligent Robots ◽  
Artificial Intelligence Technology ◽  
Functional Units ◽  
Human Brains ◽  
Digital Computers

Compared to the human brain, current artificial intelligence technology is limited in that its goals are determined by human developers and users. Similarly, despite their superficial similarities, modern-day computers and human brains have many differences. Building blocks of human brain that are functionally equivalent to transistors, functional units of digital computers, have not been identified, and we do not know whether hardware and software are separable in the human brain. This chapter uses Mars rovers as a case study to illustrate the autonomy of intelligent robots, because machines dependent on human intelligence is not genuinely intelligent.

scholarly journals The Revolutionary Impact of Artificial Intelligence on the Future of the Legal Profession

2021 ◽  
Vol 8 (3) ◽  
pp. 390-402
Author(s):  
J. A. Burt
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Legal Profession ◽  
Early Years ◽  
Law Students ◽  
Human Intelligence ◽  
Daily Lives ◽  
Broad Array ◽  
Artificial Intelligence Technology ◽  
History Of

Two decades into the 21st Century, it is abundantly clear that Artificial Intelligence technology will fundamentally change the legal system as well as the economics of our daily lives. During the early years of AI development, computers successfully surpassed humans only in complex games requiring exceptional intelligence (e.g., chess, Go, Shogi). The legal profession assumed that AI would be unable to master the nuances and ambiguities of language and the skills required of first class lawyers. The recent history of AI advancement proved that assumption wrong. When combined with the new focus of neuroscientists and related disciplines on the study of the human brain, AI stands on the threshold of exceeding human intelligence in the areas which have historically been the exclusive domain of the legal profession. There is currently a broad array of important tools in the AI field which lawyers may use to improve efficiency and profitability, These AI tools are just the beginning. We can also anticipate that AI will necessarily and substantially affect decisions traditionally relegated to the autonomy of individual citizenry as well, with dramatic consequences. This paper attempts to identify the implications of AI technology on the legal profession, the broader society in which it operates, and the challenges confronted by the next generation of lawyers and law students.

scholarly journals Review on the Artificial Brain Technology: BlueBrain

2020 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Madhulika Vinny ◽  
◽  
Pawan Singh ◽  
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Reverse Engineering ◽  
Human Mind ◽  
The State ◽  
Brain Disorders ◽  
Working Model ◽  
Artificial Brain ◽  
Special Software ◽  
Human Brains

Blue brain is a supercomputer programmed such that it can function as an artificial brain, which can also be called a virtual brain. IBM is developing this virtual brain which would be the world’s first such created machine. Its main aim is to create a machine in which the information of the actual brain can be uploaded. This would ensure that a person’s knowledge, personality, memories, and intelligence are preserved and safe. The Blue Brain project utilizes the technologies of reverse engineering and artificial intelligence at its core and is implemented through the use of supercomputers and nanobots. Special software like BBP-SDK are also specifically developed for the Blue Brain project. The Blue Brain project is centered towards finding viable solutions to brain-disorders, a working model close to the actual brain which would help in greater understanding of the human brain and the human mind and the state of consciousness, a step towards building an independently thinking machine, and finally collecting information of hundreds of years from the human brains and storing it in the form of a databases. The Blue Brain project mimics the human brain by acquiring the data from its surrounding through special software, interpreting through neural electrophysiology and morphology, and simulating them on computers. Thus, The Blue Brain project is a powerful tool for the study and analysis of the human brain and for the advancement of the human brain and society.

scholarly journals Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yanyan Dong ◽  
Jie Hou ◽  
Ning Zhang ◽  
Maocong Zhang
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Tacit Knowledge ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Human Intelligence ◽  
Cognitive Computing ◽  
Human Beings ◽  
Intelligent Machines ◽  
Value Rationality

Artificial intelligence (AI) is essentially the simulation of human intelligence. Today’s AI can only simulate, replace, extend, or expand part of human intelligence. In the future, the research and development of cutting-edge technologies such as brain-computer interface (BCI) together with the development of the human brain will eventually usher in a strong AI era, when AI can simulate and replace human’s imagination, emotion, intuition, potential, tacit knowledge, and other kinds of personalized intelligence. Breakthroughs in algorithms represented by cognitive computing promote the continuous penetration of AI into fields such as education, commerce, and medical treatment to build up AI service space. As to human concern, namely, who controls whom between humankind and intelligent machines, the answer is that AI can only become a service provider for human beings, demonstrating the value rationality of following ethics.

scholarly journals The Human Intelligence vs. Artificial Intelligence: Issues and Challenges in Computer Assisted Language Learning

2018 ◽  
Vol 8 (5) ◽  
pp. 259
Author(s):  
Mohammed Ali
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Brain ◽  
Language Learning ◽  
Language Processing ◽  
Human Intelligence ◽  
Computer Assisted ◽  
Learning Programs ◽  
Face Detection And Recognition ◽  
Learning Software

In this study, the researcher has advocated the importance of human intelligence in language learning since software or any Learning Management System (LMS) cannot be programmed to understand the human context as well as all the linguistic structures contextually. This study examined the extent to which language learning is perilous to machine learning and its programs such as Artificial Intelligence (AI), Pattern Recognition, and Image Analysis used in much assistive learning techniques such as voice detection, face detection and recognition, personalized assistants, besides language learning programs. The researchers argue that language learning is closely associated with human intelligence, human neural networks and no computers or software can claim to replace or replicate those functions of human brain. This study thus posed a challenge to natural language processing (NLP) techniques that claimed having taught a computer how to understand the way humans learn, to understand text without any clue or calculation, to realize the ambiguity in human languages in terms of the juxtaposition between the context and the meaning, and also to automate the language learning process between computers and humans. The study cites evidence of deficiencies in such machine learning software and gadgets to prove that in spite of all technological advancements there remain areas of human brain and human intelligence where a computer or its software cannot enter. These deficiencies highlight the limitations of AI and super intelligence systems of machines to prove that human intelligence would always remain superior.

scholarly journals Does the Human Brain Resort to AI's Deep Learning in Order to Solve Problems

2020 ◽  
pp. 73-86
Author(s):  
Prof. M S S El Namaki ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Problem Solving ◽  
Human Brain ◽  
Learning Technologies ◽  
Human Brains

Problem solving is a daily occurrence in business and, also, in human brains. Businesses resort to a variety of modes in order to find an answer to these problems.Human brains adopt, also, a variety of measures to solve their own brand of problems. Artificial Intelligence technologies seem to have been extending a helping hand to business in the search for problem solving mechanisms. Machine learning and deep learning are currently recognized as prime modes for business insight and problem solving. Does the human brain possess competencies and instruments that could compare to the deep learning technologies adopted by AI?

scholarly journals Artificial Intelligence Enabled in-Video Advertising: Infiltrating the Fashion Industry

2019 ◽  
Vol 9 (1) ◽  
pp. 3826-3832
Keyword(s):  
Artificial Intelligence ◽  
Marketing Strategy ◽  
Building Blocks ◽  
Fashion Industry ◽  
Video Advertising ◽  
Unique Customer ◽  
Artificial Intelligence Technology ◽  
Content Marketing

This paper focuses on the enormous impact of Artificial Intelligence technology for enabling the usage of In-Video Advertising as a part of the content marketing strategy for fashion brands. Every brand wants to reach consumers when they are prone to get influenced. However, as the consumers are spoilt for choices and the digital mediums are creating unique customer journeys with an individualistic approach. Hence, there exists a requirement of more engaging advertising approach, to catch the attention of the consumer and to enable discovery of brands at high moments of desire. Since this paper focuses on In-Video Advertising & Artificial Intelligence, thus an understanding of the building blocks of In-Video advertising calls to delve deeper in Artificial Intelligence and content marketing strategy. This paper discusses a unique opportunity for Fashion brands to use In-Video Advertising as a disruptive, efficient and engaging tool to reach consumers when they are in the best state to be influenced. This novel advertising option can benefit marketers in the fashion industry and can generate significant revenues.

scholarly journals THE USE OF AI (ARTIFICIAL INTELLIGENCE) IN ENGLISH LEARNING AMONG UNIVERSITY STUDENT: CASE STUDY IN ENGLISH DEPARTMENT, UNIVERSITAS AIRLANGGA

2021 ◽  
Author(s):  
Hemas Kumala Dewi ◽  
Raselly Elfa Putri ◽  
Nur Annisa Rahim ◽  
Tia Ivanka Wardani ◽  
Moses Glorino Rumambo Pandin
Keyword(s):  
Artificial Intelligence ◽  
Student Performance ◽  
English Learning ◽  
Literature Study ◽  
Learning And Teaching ◽  
Study Results ◽  
Artificial Intelligence Technology ◽  
Depth Interviews

Aim: This research aim is to analyze an artificial intelligence platform that can be used in imparting education as well as evaluating student performance. Method: This research was conducted with a qualitative method by conducting in-depth interviews and a literature study. Results: The findings of this study shows that Artificial Intelligence technology can be used as a means of developing English learning for students. Discussion: There have been several studies that support research results, that AI can be used to improve students' English skills through applications, websites, Virtual Reality technology, and other AI-based learning and teaching systems. Limitation: The limitation of this research is that it does not examine how far the role of AI in students' English learning is. Suggestion: For further research, it is expected to test how far the role of AI is to improve students' English skills, especially Universitas Airlangga students.

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