25 papers · ranked by Valyu relevance
Iqbal H. Sarker
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and intelligence into machines or systems. Thus, AI-based modeling is the key to build automated, intelligent, and smart systems…
Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen + 17 more
'Sylvain Gigan' 'Denız Gündüz' 'Ekram Hossain' 'Yaochu Jin' 'Feng‐Huei Lin' 'Бо Лю' 'Zhiguo Wan' 'Ji Zhang' 'Zhifeng Zhao' 'Wentao Zhu' 'Zuoning Chen' 'T.S. Durrani' 'Huaimin Wang' 'Jiangxing Wu' 'Tong‐Yi Zhang' 'Yunhe Pan'] Computing is a critical driving force in the development of human civilization. In recent…
Oliver Brock
| 1 | Introduction | | 2 | | --- | --- | --- | --- | | 2 | Argumentative Roadmap | | 3 | | 3 | Intelligences—Status Quo | | 4 | | | 3.1 Biological Intelligence | | 4 | | | 3.2 | Synthetic Intelligence | 5 | | | 3.2.1 | Computational Intelligence: | 5 | | | 3.2.2 | Physical Intelligence: | 5 | | | 3.2.3 | Neural…
Chang Choi, Gianni D’Angelo, Francesco Palmieri
This Special Issue aims at collecting several original state-of-the-art research experiences in the area of intelligent applications in the IoT and Sensor networks environment, by analyzing several open issues and perspectives associated with such scenarios, in order to explore novel potentialities and solutions and…
Yanqing Han, Yuyan Lei, Zimin Bao, Qingyuan Zhou
The way by which artificial intelligence is implemented is similar to the thinking process of the human brain. People obtain information about external conditions through five senses, namely, vision, hearing, smell, taste, and touch, and, through the further processing of the brain, it forms meaningful decision-making…
Edgar Ramos, Roberto Morabito, Jani-Pekka Kainulainen
This article has been accepted for publication in IEEE Computational Intelligence Magazine. © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional…
Catalin Dumitrescu, Petrica Ciotirnae, Constantin Vizitiu, Giovanni Pau + 1 more
'Giovanni Pau' 'Dimitrios Moshou'] When considering the concept of distributed intelligent control, three types of components can be defined: (i) fuzzy sensors which provide a representation of measurements as fuzzy subsets, (ii) fuzzy actuators which can operate in the real world based on the fuzzy subsets they…
Edgar A. Ramos, Roberto Morabito
This article has been accepted for publication in the 17th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2019) © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/…
Abdullah A. Abonamah, Muhammad Usman Tariq, Samar Shilbayeh
As artificial intelligence's potential and pervasiveness continue to increase, its strategic importance, effects, and management must be closely examined. Societies, governments, and business organizations need to view artificial intelligence (AI) technologies and their usage from an entirely different perspective. AI…
Marcel van Gerven
New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong…
Emanuel Diamant
— Computational Intelligence is a dead-end attempt to recreate human-like intelligence in a computing machine. The goal is unattainable because the means chosen for its accomplishment are mutually inconsistent and contradictory: "Computational" implies data processing ability while "Intelligence" implies the ability to…
Brett J. Kagan, Andy C. Kitchen, Nhi T. Tran, Bradyn J. Parker + 4 more
Integrating neurons into digital systems to leverage their innate intelligence may enable performance infeasible with silicon alone, along with providing insight into the cellular origin of intelligence. We developed DishBrain, a system which exhibits natural intelligence by harnessing the inherent adaptive computation…
Joshua Philpott, Alina Kurjan, Adam P Cribbs
Reproducibility, automation, and flexibility remain persistent challenges in bioinformatics, where complex workflows require integration of diverse computational tools, rigorous quality control, and dynamic adaptability to evolving datasets. Existing workflow managers often trade off usability for flexibility, limiting…
Venkatesh Jaganathan, Balasubramanie Palanisamy, Mariofanna Milanova
Computing information intelligence is considered an extremely important asset to any organization. Techniques are set of management disciplines with the help of computing information that allow organizations to manage their technological fundamentals to create competitive business advantage. Computing information…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Authors not listed
Artificial intelligence (AI) is reshaping scientific research by accelerating discovery and enabling the analysis of complex data that traditional methods struggle to handle. This review examines over 310,000 journal articles and patents from the CAS Content Collection (2015–2025), with a focus on, biomedical research…
Kieran Greer
– Our understanding of intelligence is directed primarily at the level of human beings. This paper attempts to give a more unifying definition that can be applied to the natural world in general. The definition would be used more to verify a degree of intelligence, not to quantify it and might help when making…
Anthony M. Zador
Over the last decade, artificial neural networks (ANNs), have undergone a revolution, catalyzed in large part by better tools for supervised learning. However, training such networks requires enormous data sets of labeled examples, whereas young animals (including humans) typically learn with few or no labeled…
Michele Farisco, Kathinka Evers, Arleen Salles
Ethical reflection on Artificial Intelligence (AI) has become a priority. In this article, we propose a methodological model for a comprehensive ethical analysis of some uses of AI, notably as a replacement of human actors in specific activities. We emphasize the need for conceptual clarification of relevant key terms…
Alan Aspuru-Guzik, Roland Lindh, Markus Reiher
To date, the program for the development of methods and models for atomistic and continuum simulation directed toward chemicals and materials has reached an incredible degree of sophistication and maturity. Currently, one can witness an increasingly rapid emergence of advances in computing, artificial intelligence, and…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…
Aslan S Dizaji, Mohammad-Reza Khodaei, Hamid Soltanian-Zadeh
Natural intelligence is one of the vastly explored research areas in cognitive science. Its evolution and manifestation through behavioral patterns in animal kingdom have been extensively investigated. Since early days of cognitive sciences, there have been considerable efforts to simulate intelligent behaviors through…
Andrew McCluskey, Miguel Rivera, Antonia Mey
The role of computing in the chemical sciences is changing. Previously the domain of the theoretical or computational chemist, advanced digital skills, including data analysis and simulation, are becoming extremely relevant to all. Here, we discuss the importance of integrating computing and digital skills into an…
Authors not listed
The era of exascale computing presents both exciting opportunities and unique challenges for quantum mechanical simulations. While the transition from petaflops to exascale computing has been marked by a steady increase in computational power, the shift towards heterogeneous architectures, particularly the dominant…
Ma Feilong, J. Swaroop Guntupalli, James V. Haxby
Intelligent thought is the product of efficient neural information processing, which is embedded in fine-grained, topographically-organized population responses and supported by fine-grained patterns of connectivity among cortical fields. Previous work on the neural basis of intelligence, however, has focused on…