scholarly journals Artificial intelligence enhanced molecular databases can enable improved user-friendly bioinformatics and pave the way for novel applications

2021 ◽  
Vol 117 (1/2) ◽  
Author(s):  
Chenjerayi Kashangura
Keyword(s):  
Artificial Intelligence ◽  
Molecular Databases ◽  
Novel Applications ◽  
User Friendly ◽  
The Way

scholarly journals Explainable AI: A Review of Machine Learning Interpretability Methods

Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 18
Author(s):  
Pantelis Linardatos ◽  
Vasilis Papastefanopoulos ◽  
Sotiris Kotsiantis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Black Box ◽  
Learning Systems ◽  
Model Complexity ◽  
Learning Models ◽  
New Methods ◽  
Industrial Adoption ◽  
Machine Learning Models ◽  
The Way

Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks. However, this surge in performance, has often been achieved through increased model complexity, turning such systems into “black box” approaches and causing uncertainty regarding the way they operate and, ultimately, the way that they come to decisions. This ambiguity has made it problematic for machine learning systems to be adopted in sensitive yet critical domains, where their value could be immense, such as healthcare. As a result, scientific interest in the field of Explainable Artificial Intelligence (XAI), a field that is concerned with the development of new methods that explain and interpret machine learning models, has been tremendously reignited over recent years. This study focuses on machine learning interpretability methods; more specifically, a literature review and taxonomy of these methods are presented, as well as links to their programming implementations, in the hope that this survey would serve as a reference point for both theorists and practitioners.

scholarly journals The Legendrian knot complement problem

2018 ◽  
Vol 27 (14) ◽  
pp. 1850067 ◽  
Author(s):  
Marc Kegel
Keyword(s):  
Contact Structure ◽  
Legendrian Knot ◽  
Tight Contact ◽  
Legendrian Links ◽  
User Friendly ◽  
The Way

We prove that every Legendrian knot in the tight contact structure of the [Formula: see text]-sphere is determined by the contactomorphism type of its exterior. Moreover, by giving counterexamples we show this to be not true for Legendrian links in the tight [Formula: see text]-sphere. On the way a new user-friendly formula for computing the Thurston–Bennequin invariant of a Legendrian knot in a surgery diagram is given.

“There is Nothing New in Cyberspace” a Motion for Debate

1992 ◽  
Vol 36 (14) ◽  
pp. 1049-1049 ◽  
Author(s):  
Maxwell J. Wells
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Virtual Reality ◽  
Human Computer Interaction ◽  
Cold Fusion ◽  
Major Advance ◽  
Junk Bonds ◽  
Exciting Development ◽  
Computer Interaction ◽  
The Way

Cyberspace is the environment created during the experience of virtual reality. Therefore, to assert that there is nothing new in cyberspace alludes to there being nothing new about virtual reality. Is this assertion correct? Is virtual reality an exciting development in human-computer interaction, or is it simply another example of effective simulation? Does current media interest herald a major advance in information technology, or will virtual reality go the way of artificial intelligence, cold fusion and junk bonds? Is virtual reality the best thing since sliced bread, or is it last week's buns in a new wrapper?

The Merging of Computers and Business Communication

1987 ◽  
Vol 15 (4) ◽  
pp. 383-389 ◽  
Author(s):  
Joan C. Roderick ◽  
Karen A. Forcht
Keyword(s):  
College Students ◽  
Organizational Communication ◽  
Teaching Strategies ◽  
Educational Experience ◽  
Business Communication ◽  
Computer Applications ◽  
Hard Copy ◽  
Hands On ◽  
User Friendly ◽  
The Way

Because of the availability of user-friendly software and the affordability of hardware, computers have become a common means of organizational communication. Users have had to change the way they process thoughts and ideas and to transfer them into hard-copy documentation. The integration of the computer into the business communication curriculum allows the instructor to provide a relevant and practical educational experience for college students. This article examines the importance of incorporating hands-on usage of a microcomputer in the business communication class and discusses computer applications and teaching strategies for text editing, punctuation review, and grammar assistance.

ELIV 2021

2021 ◽  
Keyword(s):  
Automotive Industry ◽  
Digital Ecosystems ◽  
Start Up ◽  
The Future ◽  
User Friendly ◽  
Full Swing ◽  
Level 2 ◽  
The Way

Foreword Start-up future It has felt like Covid-19 had a stranglehold on us. But we haven‘t allowed ourselves to be defeated. On the contrary, we are taking advantage of the opportunities that arise as a result. Not only the long-overdue push towards digitalization, for example, but also the time gained by making fewer journeys. Those who show strength now and position themselves for the future will win. And that is exactly the reason why we have been preparing ELIV 2021 with such a lot of enthusiasm. As usual, we have prepared an up-to-date program with the familiar mixture of technically demanding and strategic papers and are sure that the ELIV platform will once again be a trendsetter for the automotive industry. The CASE megatrends (Connected, Autonomous, Shared, Electric) continue to disrupt the industry. In the Connect environment, there is still a struggle for user-friendly services and competition amongst digital ecosystems is in full swing. The entry of powerful central computers into electronic architectures poses major challenges for all parties involved. On the way from Level 2 to Levels 3, 4 and 5 all manufacturers are cur...

scholarly journals Software Testing: Issues and Challenges of Artificial Intelligence & Machine Learning

2021 ◽  
Vol 12 (1) ◽  
pp. 101-112
Author(s):  
Kishore Sugali ◽  
Chris Sprunger ◽  
Venkata N Inukollu
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Software Testing ◽  
Future Research ◽  
Critical Component ◽  
Development Methodology ◽  
Testing Strategies ◽  
History Of ◽  
Shed Light ◽  
The Way

The history of Artificial Intelligence and Machine Learning dates back to 1950’s. In recent years, there has been an increase in popularity for applications that implement AI and ML technology. As with traditional development, software testing is a critical component of an efficient AI/ML application. However, the approach to development methodology used in AI/ML varies significantly from traditional development. Owing to these variations, numerous software testing challenges occur. This paper aims to recognize and to explain some of the biggest challenges that software testers face in dealing with AI/ML applications. For future research, this study has key implications. Each of the challenges outlined in this paper is ideal for further investigation and has great potential to shed light on the way to more productive software testing strategies and methodologies that can be applied to AI/ML applications.

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 99-117
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

scholarly journals Artificial Intelligence and Bank Soundness: A Done Deal? - Part 1

2021 ◽  
Author(s):  
Charmele Ayadurai ◽  
Sina Joneidy
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Crucial Role ◽  
Significant Contribution ◽  
Economic Prosperity ◽  
Bank Stability ◽  
The Face ◽  
Main Strand ◽  
Bank Soundness ◽  
The Way

Banks soundness plays a crucial role in determining economic prosperity. As such, banks are under intense scrutiny to make wise decisions that enhances bank stability. Artificial Intelligence (AI) plays a significant role in changing the way banks operate and service their customers. Banks are becoming more modern and relevant in people’s life as a result. The most significant contribution of AI is it provides a lifeline for bank’s survival. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions opportunities from the main strand of CAMELS into distinct categories of 1 (C), 6(A), 17(M), 16 (E), 3(L), 6(S). It is highly evident that banks will soon extinct if they do not embed AI into their operations. As such, AI is a done deal for banks. Yet will AI contribute to bank soundness remains to be seen.

Judicial Artificial Intelligence Bias: A Survey and Recommendations

2021 ◽  
Vol 9 (2) ◽  
pp. 74-86
Author(s):  
Ogochukwu Constance Ngige ◽  
Oludele Awodele ◽  
Oluwatobi Balogun
Keyword(s):  
Artificial Intelligence ◽  
Energy Transport ◽  
Human Existence ◽  
Professional Life ◽  
Human Society ◽  
Close Attention ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Almost All ◽  
The Way

Artificial intelligence (AI) has continued to disrupt the way tasks are being carried out, finding its way into almost all facets of human existence, and advancing the development of human society. The AI revolution has made huge and significant inroad into diverse industries like health, energy, transport, retail, advertising, et cetera. AI has been found to assist in carrying out tasks more quickly and efficiently too. Tasks which were hitherto difficult have been simplified significantly through the use of AI. Slow adoption in judiciary has however been reported, compared to other sectors. A lot of factors have been attributed to this, with AI bias being an issue of concern. Decisions emanating from courts have a significant impact on an individual’s private and professional life. It is thus imperative to identify and deal with bias in any judicial AI system in order to avoid delivering a prejudiced and inaccurate decision, thereby possibly intensifying the existing disparities in the society. This paper therefore surveys judicial artificial intelligence bias, paying close attention to types and sources of AI bias in judiciary. The paper also studies the trust-worthy AI, the qualities of a trust-worthy artificial intelligence system and the expectations of users as it is being deployed to the judiciary, and concludes with recommendations in order to mitigate the AI bias in Judiciary.

Development of algorithms that simulate the solution of a problem by a person

2022 ◽  
Vol 1 ◽  
pp. 01006
Author(s):  
Iurii V. Filatov
Keyword(s):  
Artificial Intelligence ◽  
High Speed ◽  
Separate Study ◽  
Human Actions ◽  
History Of ◽  
Human Thinking ◽  
Problem Comparison ◽  
The Way

Some algorithms, which are often based on the use of elements of higher mathematics, possessing high speed and compact coding in algorithmic languages, are poorly mastered by most students. It can be assumed that this is due to the difficulty of presenting the principles of their work in the form of human actions in ordinary situations. Thus, a certain contradiction arises between the way of solving the problem that a person resorts to without using a computer and the way we force our computer to solve this problem. Comparison of the process of explaining algorithms speaks in favor of algorithms imitating human thinking. The discussion of the advantages of the algorithms themselves is beyond the scope of this article and undoubtedly deserves a separate study. If artificial intelligence is created, then its creator or creators will certainly be ranked among the outstanding geniuses in the history of civilization, no matter what algorithms it uses. However, so far there is no one to solve problems for us and create algorithms, so we will use all available means and try to teach this to children.

Sign in / Sign up

Export Citation Format

Share Document