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Intelligent Systems - Science topic
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会议征稿：第三届通信网络与机器学习国际学术会议(CNML 2025)
Call for papers: 2025 3rd International Conference on Communication Networks and Machine Learning (CNML 2025) will be held on February 21-23, 2025 in Nanjing, China.
Conference website（English): https://ais.cn/u/6j6N7z
重要信息
大会官网(投稿网址）：https://ais.cn/u/6j6N7z
大会时间：2025年02月21-23日
大会地点：中国-南京
提交检索：EI Compendex, Scopus
主办单位：武汉理工大学
会议详情
第三届通信网络与机器学习国际学术会议(CNML 2025)将于2025年2月21-23日在中国南京举行。它致力于为通信网络和机器学习领域的专家和学者之间的学术交流创造一个平台。会议的理念是让来自世界各地大学和行业的科学家、学者、工程师和学生展示正在进行的研究活动，从而促进大学和行业之间的研究关系。本次会议为代表们提供了面对面交流新思想和应用经验的机会，建立业务或研究关系，并为未来的合作寻找全球合作伙伴。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流！
征稿主题（包括但不限于）
1. 通信网络
通信理论
通信工程
计算机网络和数据通信
信息分析和基础设施
通信建模理论与实践
无线传感器和通信网络
云计算与物联网
网络和数据安全
光电子学和光通信
无线/移动通信和技术
智能通信与计算
绿色通信系统...
2. 机器学习
机器学习算法
智能数据分析
建模和识别
多任务和迁移学习
深度学习
强化学习
人工智能
数据挖掘
数据存取
机器人控制
自然语言处理
机器学习的实验评估
机器学习算法的性能分析...
论文出版
所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由ACM International Conference Proceedings Series出版，见刊后提交至EI Compendex, Scopus检索。检索稳定！
参会方式
1、会议文作者参会：一篇录用文章允许一名作者免费参会;
2、会议主讲嘉宾：申请主题演讲，由组委会审核；
3、会议口头报告：申请口头报告，时间为15分钟；
4、会议海报展示：申请海报展示，A1尺寸，彩色打印；
5、听众参会：不投稿仅参会，也可申请演讲及展示。
6、投稿参会网址：https://ais.cn/u/6j6N7z
Can the responses of intelligent chatbots available on the Internet be “arbitrarily programmed in algorithms,” biased and predetermined by their creators, or are they rather a statistical resultant of the data on which they were trained?
The prevailing opinion on the subject is that the advanced language models currently under development, such as ChatGPT, Copilot and other intelligent chatbots, are based on artificial intelligence algorithms that learn by analyzing vast amounts of text and data. These algorithms are not “preloaded” with specific views or worldviews of their creators, but rather are trained on data that reflects the diversity of thoughts, ideas and perspectives present in society. In practice, this means that the views and values expressed by such models are the resultant of the data on which they were trained, rather than being directly derived from assumptions imposed by their creators. Thus, language models do not have a built-in “worldview,” but may reflect or reproduce dominant narratives, biases and patterns that are present in the datasets on which they were trained. But what is your opinion on this topic?
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this issue?
And what is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
2025 3rd International Conference on Materials Science and Intelligent Manufacturing(MSIM 2025) will be held in Guangzhou, China from January 10 to 12, 2025.
Conference Website: https://ais.cn/u/NRZfIr
---Call for papers---
The topics of interest for submission include, but are not limited to:
◕ Materials Science and Engineering
1. Electronic and magnetic materials
2. Computational materials Science
3. Coupling of multiple iron sequence parameters
4. Crystal defect engineering
5. Crystallography engineering
6. Domain microstructure evolution
7. Domain size effect, grain size effect, small particles, thin films
8. Nanomaterials and nanotechnology......
◕ Intelligent Manufacturing
1. Production process simulation
2. Modeling and design
3. Intelligent system
4. Intelligent mechatronics
5. Micromachining technology
6. Advanced manufacturing technology
7. Sustainable production
8. Recycling and remanufacturing......
---Publication---
All accepted full papers will be published in the Journal of Physics: Conference Series (JPCS) (ISSN:1742-6596)and will be submitted to EI Compendex / Scopus for indexing.
---Important Dates---
Full Paper Submission Date: December 20, 2024
Registration Deadline: December 31, 2024
Final Paper Submission Date: January 3, 2025
Conference Dates: January 10-12, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
Differential Logic • 1
Introduction —
Differential logic is the component of logic whose object is the description of variation — focusing on the aspects of change, difference, distribution, and diversity — in universes of discourse subject to logical description. A definition that broad naturally incorporates any study of variation by way of mathematical models, but differential logic is especially charged with the qualitative aspects of variation pervading or preceding quantitative models. To the extent a logical inquiry makes use of a formal system, its differential component governs the use of a “differential logical calculus”, that is, a formal system with the expressive capacity to describe change and diversity in logical universes of discourse.
Simple examples of differential logical calculi are furnished by “differential propositional calculi”. A differential propositional calculus is a propositional calculus extended by a set of terms for describing aspects of change and difference, for example, processes taking place in a universe of discourse or transformations mapping a source universe to a target universe. Such a calculus augments ordinary propositional calculus in the same way the differential calculus of Leibniz and Newton augments the analytic geometry of Descartes.
Resources —
Logic Syllabus
Survey of Differential Logic
Differential Logic • 18
Tangent and Remainder Maps —
If we follow the classical line which singles out linear functions as ideals of simplicity then we may complete the analytic series of the proposition f = pq : X → B in the following way.
The next venn diagram shows the differential proposition df = d(pq) : EX → B we get by extracting the linear approximation to the difference map Df = D(pq) : EX → B at each cell or point of the universe X. What results is the logical analogue of what would ordinarily be called “the differential” of pq but since the adjective “differential” is being attached to just about everything in sight the alternative name “tangent map” is commonly used for df whenever it's necessary to single it out.
Tangent Map d(pq) : EX → B
To be clear about what's being indicated here, it's a visual way of summarizing the following data.
d(pq)
= p ∙ q ∙ (dp , dq)
+ p ∙ (q) ∙ dq
+ (p) ∙ q ∙ dp
+ (p) ∙ (q) ∙ 0
To understand the extended interpretations, that is, the conjunctions of basic and differential features which are being indicated here, it may help to note the following equivalences.
• (dp , dq) = dp ∙ (dq) + (dp) ∙ dq
• dp = dp ∙ dq + dp ∙ (dq)
• dq = dp ∙ dq + (dp) ∙ dq
Capping the analysis of the proposition pq in terms of succeeding orders of linear propositions, the final venn diagram of the series shows the “remainder map” r(pq) : EX → B, which happens to be linear in pairs of variables.
Remainder r(pq) : EX → B
Reading the arrows off the map produces the following data.
r(pq)
= p ∙ q ∙ dp ∙ dq
+ p ∙ (q) ∙ dp ∙ dq
+ (p) ∙ q ∙ dp ∙ dq
+ (p) ∙ (q) ∙ dp ∙ dq
In short, r(pq) is a constant field, having the value dp ∙ dq at each cell.
Resources —
Logic Syllabus
Survey of Differential Logic
IEEE 2024 2nd International Conference on Artificial Intelligence and Automation Control(AIAC 2024) will be held on October 25-27, 2024 in Guangzhou, China.
Conference Website: https://ais.cn/u/NJbuEn
---Call for papers---
The topics of interest for submission include, but are not limited to:
1. Artificial Intelligence
▨ Adaptive Control
▨ Agent and Multi-Agent Systems
▨ AI Algorithms
▨ Artificial Intelligence Tools and Applications
▨ Artificial Neural Networks
▨ Automatic Control
▨ Automatic Programming
▨ Bayesian Networks and Bayesian Reasoning
......
2. Control Science Engineering
▨ Operating Systems
▨ Modeling and Simulation of Emerging Technologies
▨ Nonlinear System Control
▨ Progress of Engineering Software Engineering
▨ Circuits, Electronics and Microelectronics
▨ Nonlinear Theory and Application
▨ Renewable Energy Conversion
▨ Fault Tolerant Control System
......
---Publication---
All accepted papers of AIAC 2024 will be published in IEEE and will be submitted to EI Compendex, Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
---Important Dates---
Full Paper Submission Date: September 16, 2024
Registration Deadline: September 20, 2024
Final Paper Submission Date: October 21, 2024
Conference Dates: October 25-27, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
会议征稿：第二届人工智能、系统与网络安全国际学术会议 (AISNS 2024）
Call for papers: 2024 2nd International Conference on Artificial Intelligence, Systems and Network Security (AISNS 2024）will be held on December 20-22, 2024 in Xiangtan, China.
AISNS 2024 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence, Systems and Cyber Security to a common forum.
Conference website（English): https://ais.cn/u/JnEFbm
重要信息
大会官网(投稿网址）：https://ais.cn/u/JnEFbm
大会时间：2024年12月20-22日
大会地点：中国-湘潭
收录检索：EI Compendex、Scopus
会议详情
由湖南工程学院主办的第二届人工智能、系统与网络安全国际学术会议 (AISNS 2024）将于2024年12月20-22日在湖南省湘潭市召开，此次会议主要围绕人工智能、系统、网络安全等研究领域展开讨论。会议旨在为从事相关科研领域的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。
征稿主题
* 人工智能（人工智能算法、自然语言处理、模糊逻辑、计算机视觉与图像理解、信号和图像处理、语音与自然语言处理、计算学习理论、信息检索与融合、混合智能系统、智能系统架构、知识表示、基于知识的系统、机电一体化、多媒体与认知信息学、人工神经网络并行处理、模式识别、普适计算与环境智能、软计算理论与应用、软硬件架构、自动编程、机器学习、自动控制、数据挖掘与机器学习工具、机器人学、人工智能工具与应用、最近的趋势和发展等)
* 计算机网络安全（主动防御系统、自适应防御系统、安全系统分析，基准、应用密码学、认证方式、生物识别安全、复杂系统安全、数据库和系统安全、数据保护、数据/系统完整性、分布式访问控制、分布式攻击系统、拒绝服务、高性能网络虚拟化、高性能安全系统、云和网格系统中的安全性、电子商务中的安全性、普适/普适计算中的安性、智能电网中的安全性和隐私性、无线网络中的安全性和隐私、安全的移动代理和移动代码、安全模拟和工具、可信计算等）
* 计算机系统（操作系统、分布式系统、数据库系统、网络系统、编译系统、计算机体系结构、虚拟化技术、容器技术）
* 其他相关主题皆可投稿
论文出版
AISNS 2024会议投稿经过2-3位组委会专家严格审核后，最终所录用的论文将被ACM ICPS (ACM International Conference Proceeding Series)出版论文集，并提交至EI Compendex, Scopus检索。目前该会议论文检索非常稳定。
参会须知
1、作者参会：一篇录用文章允许一名作者免费参会；
2、汇报方式：口头报告和海报展示必须二选一；
3、口头汇报：申请口头报告，需至少会前10天联系会议老师报名，时间为10-15分钟，需准备汇报PPT；
4、海报展示：申请海报展示，需至少会前一周发送到会议邮箱icaisns@163.com，要求：A1尺寸，纵版，彩色，png格式；
5、汇报报名：请密切关注本页面的会议公告及会议邮箱通知，会前1-2周通知报名参会及选择汇报方式。
6、听众参会：不投稿仅参会，也可申请演讲及展示。
7、录用后因作者个人原因撤稿扣除费用标准20%-30%；
8、报名参会：https://ais.cn/u/JnEFbm
This discussion explores the transformative role of AI and machine learning in the film industry, focusing on how these technologies serve as collaborative tools rather than mere utilities. We will examine AI’s applications in various stages of film production, from script analysis and set design to character creation, visual effects, and post-production enhancements. By analyzing real-world examples and emerging research, the discussion will delve into the creative partnership between human filmmakers and intelligent systems, highlighting the balance between automation and artistic control. Additionally, we will address the ethical and creative implications of using AI in storytelling, as well as the potential it holds for reshaping the future of film design and production.
Check at our new paper on 'MLOps: Automatic, Zero-Touch and Reusable Machine Learning Training and Serving Pipelines' that won the Best paper award at the 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS 2023) held in Bali, Indonesia.
Link to the Published Paper: https://ieeexplore.ieee.org/abstract/document/10346079
ResearchGate Paper Draft Link:
Conference Paper MLOps: Automatic, Zero-Touch and Reusable Machine Learning T...
This work demonstrates how an AI/ML model can be taken to production very easily using components from the Acumos AI project and do much more by creating zero-touch ML model infrastructures using Acumos and Nifi.
[CFP]2024 2nd International Conference on Artificial Intelligence, Systems and Network Security (AISNS 2024) - December
AISNS 2024 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence, Systems and Cyber Security to a common forum. The primary goal of the conference is to promote research and developmental activities in computer information science and application technology and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in computer information science and application technology and related areas.
Conference Link:
Topics of interest include, but are not limited to:
◕Artificial Intelligence
· AI Algorithms
· Natural Language Processing
· Fuzzy Logic
· Computer Vision and Image Understanding
· Signal and Image Processing
......
◕Network Security
· Active Defense Systems
· Adaptive Defense Systems
· Analysis, Benchmark of Security Systems
· Applied Cryptography
· Authentication
· Biometric Security
......
◕Computer Systems
· Operating Systems
· Distributed Systems
· Database Systems
Important dates:
Full Paper Submission Date: October 10, 2024
Registration Deadline: November 29, 2024
Conference Dates: December 20-22, 2024
Submission Link:
[CFP]2024 4th International Conference on Digital Society and Intelligent Systems (DSInS 2024) - November
DSInS 2024 will be held in Sydney, Australia during November 20-22, 2024. The conference will focus on the application of Intelligent systems in digital society, discuss the key challenges and research directions faced by the development of this field, in order to promote the development and application of theories and technologies in this field in universities and enterprises, and provide innovative scholars who focus on this research field, engineers and industry experts provide a favorable platform for exchanging new ideas and presenting research results.
Internet of Things Planned highlights of DSInS 2024 include:
● Addresses and presentations by some of the most respected researchers in the Intelligent Systems and Digital Society
● Panel discussions
● Presentations of accepted academic and practitioner research papers; a poster paper session
Conference Link:
Topics of interest include, but are not limited to:
◕Intelligent Systems
Pattern recognition
Machine learning
Neural networks
Natural language processing
Deep learning
Knowledge graph
......
◕Digital Society
Digital manufacturing
Digital communication
Digital transportation
Digital community
Digital government
......
◕Application of Intelligent systems on Digital Society
Character recognition
Video surveillance
Factory automation
Assistive robotics
Intelligent Fault Diagnosis
......
Important dates:
Final Paper Submission Date: October 25, 2024
Conference Dates: November 20-22, 2024
Submission Link:
会议征稿：第四届数字化社会与智能系统国际学术会议（DSInS 2024）-悉尼/郑州双会场
Call for papers: IEEE 2024 4th International Conference on Digital Society and Intelligent Systems(DSInS 2024) will take place in two venues: Sydney (Australia) and Zhengzhou(China).
The Sydney session will be held on November 20-22, 2024, the Zhengzhou session will be held on November 22-24, 2024.
Conference website（English)：https://ais.cn/u/m6vUNv
重要信息
大会官网(投稿网址）：https://ais.cn/u/m6vUNv
大会时间：2024年11月20-22日（悉尼）/2024年11月22-24日（郑州）
大会地点：澳大利亚-悉尼/中国-郑州
收录检索：EI Compendex,Scopus, IEEE Xplore
主办单位: 悉尼科技大学和西南交通大学联合主办
会议详情
由悉尼科技大学和西南交通大学联合主办，四川大学、中南大学社会计算研究中心、西南财经大学、武汉理工大学协办的2024年第四届数字化社会与智能系统国际学术会议将于2024年11月20-22日在澳大利亚悉尼举行。会议主题主要聚焦智能系统在数字化社会中的相关技术和应用发展。
会议征稿主题（包括但不限于）
智能系统
模式识别；机器学习；神经网络；自然语言处理；深度学习；知识图谱；计算智能；模糊系统；遗传算法；程序设计；数据结构；概率逻辑；人工智能；机器人学；数值方法；区块链等
数字化社会
数字化制造；数字化通信；数字化交通；数字化社区；数字化政务；数字化转型；数字化农业及水利；数字化医疗；数字基建等
智能系统在数字化社会中的应用
字符识别；视频监控；工厂自动化；辅助机器人；智能故障诊断；智能医疗诊断；智能安全系统；智能信号处理；群体智能；数字粮仓；遥感技术；智能网络；5G；目视检测；数字与保险等
*本会议不接受文科类稿件
论文出版
所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由IEEE出版（ISBN：979-8-3315-2882-9），见刊后由出版社提交至IEEE Xplore, EI, Scopus检索
投稿参会网址：https://ais.cn/u/m6vUNv
What is the long-term effect of the today’s hardware architecture choices (Von Neumann or parallel architectures of GPUs etc.) on the trajectory of AI system development?. What do Marr’s three levels say about that? How do NVIDIA's parallel hardware impact the way we perceive intelligence?
Let us consider the possibility that the behavioural similarity of different intelligences could be coupled with their endogenous structural similarities. While it’s plausible for other forms of intelligences to exhibit some similarity to the human traits, the likelihood of such emergence might be comparatively lower once designed independent of human brain. In other words, it seems reasonable to hypothesize that similar structural properties might lead to similar functional and operational characteristics under several known conditions.
I would suppose ground breaking genuine research work might be needed to precisely define such conditions and demonstrate a potentially inherent coupling between the hardware (the architecture) and the software (algorithm and/or learnable applications) in any intelligent system.
How about the effects of the hardware on which the intelligence is implemented on the development of our brain tissue? neural connectivity? biochemistry of information transfer? All such considerations must be given priority in the design of next generation AI if we really want to maintain a healthy mental state at the societal level and uphold human values against corruption.
Modern artificial intelligence systems, cannot function without access to large databases when processing a specific type of information. Examples of types of such information could be speech, texts or video information. How do living organisms manage to survive without such databases when processing various types of information simultaneously?
2024 5th International Conference on Advanced Materials and Intelligent Manufacturing(ICAMIM 2024), which is to be held in Guangzhou, China, from November 01-03, 2024.
Conference Website: https://ais.cn/u/v6ve6r
---Call for papers---
The topics of interest for submission include, but are not limited to:
◕ Advanced materials
01) Non-ferrous metal materials
02) Steel polymer material
03) Composites
04) Micro/nano materials
05) Optical/electronic/magnetic materials
06) New feature materials
◕ Intelligent manufacturing
01) Biomimicry mechanisms
02) Integrated manufacturing systems
03) Industrial and manufacturing systems analysis and decision-making
04) Digital manufacturing
05) Modeling and design
06) Intelligent systems
07) Intelligent mechatronics
08) Micromachining technology
09) Advanced manufacturing technology
---Publication---
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of ICAMIM 2024 will be published in the Journal Of physics: Conference Series (ISSN:1742-6596), and it will be submitted to EI Compendex and Scopus for indexing.
---Important Dates---
Full Paper Submission Date: October 30, 2024
Registration Deadline: November 1, 2024
Final Paper Submission Date: November 10, 2024
Conference Dates: November 01-03, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
IEEE 2024 6th International Conference on Electronics and Communication, Network and Computer Technology (ECNCT 2024) will be held in Guangzhou on July 19-21, 2024.
Conference Webiste: https://ais.cn/u/NbyUja
---Call For Papers---
The topics of interest for submission include, but are not limited to:
Communication Technology
Computer Engineering
Network Engineering and Application Technology
Intelligent System
Information Science
Image Processing
Application Technology
6th Generation Networks
Access Networks
Advances in Internet Protocols
Real Time Communication Services
Signal Processing for Communications
Optical Networking
Web Services and Service Oriented Architectures
Electronic control technology
Other Related topics
---Publiation---
All accepted full papers will be published in IEEE (ISBN: 979-8-3503-6614-3) andwill be submitted to IEEE Xplore, EI Compendex, Scopus and Inspec for indexing.
Important Dates:
Full Paper Submission Date: May 5,2024
Registration Date: June 30, 2024
Final Paper Submission Date: : June 30, 2024
Conference Dates: July 17-19, 2024
For More Details please visit:
I have 293 (at the moment) videos of artificial intelligence system:
How do I make automatic annotation of videos in Russian?
I have 293 (at the moment) videos of artificial intelligence system:
How do I make automatic annotation of videos in Russian?
Can paintings painted or sculptures created, unique architectural designs by robots equipped with artificial intelligence be recognised as fully artistic works of art?
In recent years, more and more perfect robots equipped with artificial intelligence have been developed. New generations of artificial intelligence and/or machine learning technologies, when equipped with software that enables the creation of unique works, new creations, creative solutions, etc., can create a kind of artwork in the chosen field of creativity and artistry. If we connect a 3D printer to a robot equipped with an artificial intelligence system that is capable of designing and producing beautiful sculptures, can we thus obtain a kind of work of art?
When a robot equipped with an artificial intelligence system paints beautiful pictures, can the resulting works be considered fully artistic works of art?
If NO, why not?
And if YES, then who is the artist of the works of art created in this way, is it a robot equipped with artificial intelligence that creates them or a human being who created this artificial intelligence and programmed it accordingly?
What is your opinion on this topic?
What do you think about this topic?
Please reply,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The project I'm currently working on aims to create a deep learning model for Human Activity Recognition. I'm focusing on system design and implementation. Could someone please help me by sharing some papers or document links to better understand system design and implementation?
Thank you in advance for your assistance.
2024 IEEE 6th International Conference on Internet of Things, Automation and Artificial Intelligence(IoTAAI 2024) will be held in Guangzhou, China from July 26 to 28, 2024.
Conference Webise: https://ais.cn/u/InumA3
The conference aims to provide a large platform for researchers in the field of modern machinery manufacturing and materials engineering to communicate and provide the participants with the most cutting-edge scientific and technological information. The conference invites experts and scholars from universities and research institutions, business people and other related personnel from home and abroad to attend and exchange ideas.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
1. Internet of Things
IoT Electronics
IoT Enabling Technologies
IoT Networks
IoT Applications
IoT Architecture
......
2. Automation
Electrical Automation
Circuits and Systems
Control Engineering
Robotics and Automation Systems
Automatic control and Information Technology
......
3. Artificial Intelligence
Intelligent Systems
Intelligent Optimized Design
Virtual Manufacturing and Network Manufacturing
System Optimization
......
All accepted full papers will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing.
Important Dates:
Full Paper Submission Date: May 11, 2024
Registration Deadline: July 24, 2024
Final Paper Submission Date: July 22, 2024
Conference Dates: July 26-28, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback
2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2024) will be held on June 28- June 30, 2024 in Zhuhai China.
MLISE is conducting exciting series of symposium programs that connect researchers, scholars and students to industry leaders and highly relevant information. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. MLISE propose new ideas, strategies and structures, innovating the public sector, promoting technical innovation and fostering creativity in development of services.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
1. Machine Learning
- Deep and Reinforcement learning
- Pattern recognition and classification for networks
- Machine learning for network slicing optimization
- Machine learning for 5G system
- Machine learning for user behavior prediction
......
2. Intelligent Systems Engineering
- Intelligent control theory
- Intelligent control system
- Intelligent information systems
- Intelligent data mining
- AI and evolutionary algorithms
......
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of MLISE 2024 will be published in the MLISE 2024 Conference Proceedings by IEEE (ISBN: 979-8-3503-7507-7), which will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
Important Dates:
Submission Deadline: April 26, 2024
Registration Deadline: May 26, 2024
Conference Dates: June 28-30, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback
Will the development of intelligent chatbots available on the Internet based on generative artificial intelligence negatively or rather positively affect the development of science, the development of scientific research, the analysis of data from research conducted, the description of results obtained from research conducted, the writing and publishing of scientific texts, etc.?
Recently, rapid development of ICT and Industry 4.0/5.0 technologies is taking place, including Big Data, Internet of Things, cloud computing, digital twins, multi-criteria simulation models, machine learning, deep learning and generative artificial intelligence, among others. Developments in generative artificial intelligence technology are being made through the use of artificial neural networks, among others. New applications of generative artificial intelligence are determined by the previously carried out process of GAI system training, i.e. teaching the implementation of specific skills, performing complex tasks, performing new functions, solving specific problems intelligently using deep learning technology. Increasingly, generative artificial intelligence technology is being trained to intelligently perform complex research and analysis processes. Among other things, this kind of application of generative artificial intelligence is the implementation of this technology for business analytics carried out using large sets of data and information, i.e. analytics carried out on computerized business intelligence and Big Data Analytics platforms. This type of analytics is being applied in various fields of knowledge, various sectors of the economy, various companies, enterprises, financial and public institutions. This type of analytics is also increasingly used in improving research processes and increasing the efficiency of complex analytical processes carried out as part of ongoing research in various scientific disciplines. Since OpenAI's ChatGPT chatbot was made available on the Internet, i.e. since November 2022, more similar intelligent chatbots created by other leading technology companies have been successively appearing. The intelligent chatbots made available on the Internet are used, among other things, in the development of the results of scientific research conducted, in the execution of certain stages of analytical processes, in the processing of results obtained from scientific research conducted, etc. The increase in the application of intelligent chatbots in research and analytical processes is due to the simplicity of operation of these chatbots, their availability on the Internet in the formula of open access, the ability of these tools to implement complex research processes, multi-criteria analysis, intelligent problem solving. On the other hand, the possibilities of applying the aforementioned chatbots in the processes of conducted scientific research are still severely limited due to the many imperfections of the databases on which certain generative artificial intelligence systems were trained. It still happens that the databases of data and information on which the said GAI systems were trained contain data and information in many respects outdated, incomplete, in the course of the "work" of these tools certain data and information can be "creatively" combined so that in the results of the work of a certain intelligent chatbot there are often "fictitious facts", ie. generated new and factually inconsistent content, factual errors, misrepresentations, falsehoods, which can be presented and described within the phraseologically, syntactically, stylistically correct essays, papers, articles, etc., written by generative artificial intelligence. Besides, the textual and other studies created by these tools often do not show all the data sources, all the source publications, all the materials that the chatbot used in drawing certain data and information while creating the commissioned human textual, graphic work, etc. Besides, even if the sources of data and information are partially shown, they are often shown in an incomplete way, inconsistent with the current standards for showing and compiling source and bibliographic footnotes. Perhaps, in the future, the aforementioned, used currently made available on the Internet intelligent chatbots will be sufficiently improved, corrected, supplemented so that they can be used by researchers and scientists in specific research, analytical processes within the framework of ongoing scientific research to a fuller extent and without the currently existing risks. Therefore, the development of intelligent chatbots available on the Internet based on generative artificial intelligence currently both negatively and positively can affect the development of science, the development of scientific research, the analysis of data from conducted research, the description of results obtained from conducted research, the writing and publishing of scientific texts, etc. Whether serious risks are generated or rather positive aspects prevail with the application of currently available intelligent chatbots on the Internet in certain aspects of the research and analysis processes carried out as part of the scientific research conducted depends on a number of factors. On the one hand, it depends on whether the technology company developing the said intelligent chatbots keeps improving them, enhancing them and expanding them with new functions and skills. On the other hand, it also depends on whether such cultivated specific research and analytical tools are used prudently by researchers and scientists with knowledge of the drawbacks and limitations associated with the use of these tools.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Will the development of intelligent chatbots available on the Internet based on generative artificial intelligence negatively or rather positively affect the development of science, the development of scientific research, the analysis of data derived from research conducted, the description of results obtained from research conducted, the writing and publishing of scientific texts, etc.?
Will the development of chatbots based on generative artificial intelligence negatively or rather positively affect the development of science?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM 2024) will be held in Nanjing, China on April 26-28, 2024.
ICMTIM 2024 will be held once a year, aiming to bring scholars, experts, researchers and technicians in the academic fields of "mechatronics" and "intelligent manufacturing" together into an academic exchange platform, and provide a platform to share scientific research results, cutting-edge technologies, understand academic development trends, broaden research ideas, and strengthen academic research and discussion.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
TRACK 1: Mechatronics Technology
· Mechatronics Control
· Sensors and Actuators
· 3D Printing Technologies
· Intelligent control
· Motion Control
......
TRACK 2:Intelligent Manufacturing
· Modeling and Design
· Intelligent Systems
· Intelligent mechatronics
· Micro-Machining Technology
· Sustainable Production
......
All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
Important Dates:
Full Paper Submission Date: February 10, 2024
Registration Deadline: March 10, 2024
Final Paper Submission Date: March 25, 2024
Conference Dates: April 26-28, 2024
For More Details please visit:
ماهي الطبيعة القانونية لأنظمة الذكاء الاصطناعي ؟
2024 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024) will be held from April 26 to 28, 2024, in Nanchang, China.
It is a comprehensive conference which focuses on Biomedical Engineering and Artificial Intelligent Systems. The main objective of IC-BIS 2024 is to address and deliberate on the latest technical status and recent trends in the research and applications of Biomedical Engineering and Bioinformatics. IC-BIS 2024 provides an opportunity for the scientists, engineers, industrialists, scholars and other professionals from all over the world to interact and exchange their new ideas and research outcomes in related fields and develop possible chances for future collaboration. The conference also aims at motivating the next generation of researchers to promote their interests in Biomedical Engineering and Artificial Intelligent Systems.
Important Dates:
Registration Deadline: March 26, 2024
Final Paper Submission Date: April 22, 2024
Conference Dates: April 26-28, 2024
---Call For Papers---
The topics of interest for submission include, but are not limited to:
- Biomedical Signal Processing and Medical Information
· Biomedical signal processing
· Medical big data and machine learning
· Application of artificial intelligent for biomedical signal processing
......
- Bioinformatics & Intelligent Computing
· Algorithms and Software Tools
· Algorithms, models, software, and tools in Bioinformatics
· Biostatistics and Stochastic Models
......
- Gene regulation, expression, identification and network
·High-performance computational systems biology and parallel implementations
· Image Analysis
· Inference from high-throughput experimental data
......
For More Details please visit:
How to build a Big Data Analytics system based on artificial intelligence more perfect than ChatGPT that learns but only real information and data?
How to build a Big Data Analytics system, a Big Data Analytics system, analysing information taken from the Internet, an analytics system based on artificial intelligence conducting real-time analytics, integrated with an Internet search engine, but an artificial intelligence system more perfect than ChatGPT, which will, through discussion with Internet users, improve data verification and will learn but only real information and data?
Well, ChatGPT is not perfect in terms of self-learning new content and perfecting the answers it gives, because it happens to give confirmation answers when there is information or data that is not factually correct in the question formulated by the Internet user. In this way, ChatGPT can learn new content in the process of learning new but also false information, fictitious data, in the framework of the 'discussions' held. Currently, various technology companies are planning to create, develop and implement computerised analytical systems based on artificial intelligence technology similar to ChatGPT, which will find application in various fields of big data analytics, will find application in various fields of business and research work, in various business entities and institutions operating in different sectors and industries of the economy. One of the directions of development of this kind of artificial intelligence technology and applications of this technology are plans to build a system of analysis of large data sets, a system of Big Data Analytics, analysis of information taken from the Internet, an analytical system based on artificial intelligence conducting analytics in real time, integrated with an Internet search engine, but an artificial intelligence system more perfect than ChatGPT, which will, through discussion with Internet users, improve data verification and will learn but only real information and data. Some of the technology companies are already working on this, i.e. on creating this kind of technological solutions and applications of artificial intelligence technology similar to ChatGPT. But presumably many technology start-ups that plan to create, develop and implement business specific technological innovations based on a specific generation of artificial intelligence technology similar to ChatGPPT are also considering undertaking research in this area and perhaps developing a start-up based on a business concept of which technological innovation 4.0, including the aforementioned artificial intelligence technologies, is a key determinant.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How to build a Big Data Analytics system, a system of Big Data Analytics, analysis of information taken from the Internet, an analytical system based on Artificial Intelligence conducting real-time analytics, integrated with an Internet search engine, but an Artificial Intelligence system more perfect than ChatGPT, which will, through discussion with Internet users, improve data verification and will learn but only real information and data?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Ambient Intelligence vs Internet of Things? What is Similarities and Differences?
What has been missing from the open-source availability of ChatGPT-type artificial intelligence on the Internet? What is missing in order to make it possible to comply with the norms of text publishing law, tax law, copyright law, property law, intellectual value law, to make it fully ethical, practical and effective, and to make it safe and not generate misinformation for Internet users to use this type of technology?
How should an automated system for verifying the authorship of texts and other works be structured and made openly available on the Internet in order to verify whether phrases, fragments of text, phrases, wording, etc. are present in a specific text submitted to the editors of journals or publishers of books and other text-based publications? If so, to what extent and from which source texts did the artificial intelligence extract specific phrases, fragments of text, thus giving a detailed description of the source texts, providing footnotes to sources, bibliographic descriptions of sources, etc., i.e. also as is done by efficient and effective computerised anti-plagiarism systems?
The recent appeal by the creators of ChatGPT-type artificial intelligence technology, the appeal by businessmen and founders and co-founders of start-ups developing artificial intelligence technology about the need to halt the development of this type of technology for at least six months confirms the thesis that something was not thought of when OpenAI made ChatGPT openly available on the Internet, that something was forgotten, that something was missing from the openly available ChatGPT-type artificial intelligence system on the Internet. I have already written about the issue of the potential massive generation of disinformation in my earlier posts and comments on previously formulated questions about ChatGPT technology and posted on my discussion profile of this Research Gate portal. On the other hand, to the issue of information security, the potential development of disinformation in the public space of the Internet, we should also add the issue of the lack of a structured system for the digital marking of "works" created by artificial intelligence, including texts, publications, photographs, films, innovative solutions, patents, artistic works, etc., in order to ensure the security of information. In this regard, it is also necessary to improve the systems for verifying the authorship of texts sent to journal editors, so as to verify that the text has been written in full compliance with copyright law, intellectual property law, the rules of ethics and good journalistic practice, the rules for writing texts as works of intellectual value, the rules for writing and publishing professional, popular science, scientific and other articles. It is necessary to improve the processes of verifying the authorship of texts sent to the editorial offices of magazines and publishing houses of various text publications, including the improvement of the system of text verification by editors and reviewers working in the editorial offices of popular-scientific, trade, scientific, daily and monthly magazines, etc., by creating for their needs anti-plagiarism systems equipped with text analysis algorithms in order to identify which fragments of text, phrases, paragraphs were created not by a human but by an artificial intelligence of the ChatGPT type, and whose authorship these fragments are. An improved anti-plagiarism system of this kind should also include tools for the precise identification of text fragments, phrases, statements, theses, etc. of other authors, i.e. providing full information in the form of bibliographic descriptions of source publications, providing footnotes to sources. An anti-plagiarism system improved in this way should, like ChatGPT, be made available to Internet users in an open access format. In addition, it remains to be seen whether it is also necessary to legally oblige editors of journals and publishers of various types of textual and other publications to use this kind of anti-plagiarism system in verifying the authorship of texts. Arguably, the editors of journals and publishers of books and other types of textual publications will be interested in doing so in order to apply this kind of automated verification system for the resulting publication works. At the very least, those editors of journals and publishers of books and other types of textual publications that recognise themselves and are recognised as reputable will be interested in using this kind of improved system to verify the authorship of texts sent to the editors. Another issue is the identification of technological determinants, including the type of technologies with which it will be possible to appropriately improve the automated verification system for the aforementioned issue of text authorship. Paradoxically, here again, the technology of artificial intelligence comes into play, which can and should prove to be of great help in the aforementioned issue of verification of the aforementioned question of authorship of texts and other works.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How should an automated and open-access online system for verifying the authorship of texts and other works be structured in order to verify whether phrases, text fragments, phrases, wordings, etc. are present in a specific text sent to the editors of journals or publishers of books and other textual publications? If YES, to what extent and from which source texts did the artificial intelligence retrieve specific phrases, fragments of text, thus giving detailed characteristics of the source texts, providing footnotes to sources, bibliographic descriptions of sources, etc., i.e. also as implemented by efficient and effective computerised anti-plagiarism systems?
What was missing from making a ChatGPT-type artificial intelligence system available on the Internet in an open access format? What is missing in order to make it possible to comply with the norms of text publishing law, tax law, copyright law, property law, intellectual property law, to make it fully ethical, practical and effective, and to make it safe and not generate disinformation for Internet users to use this type of technology?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Much still needs to be improved systemically so that the use of this type of technology complies with the norms of text publishing law, tax law, copyright law, property law, intellectual value law, so that it is fully ethical, practical and effective, as well as safe and does not generate misinformation among Internet users. It is necessary to regulate the use of various tools based on artificial intelligence so that this use generates positive rather than negative aspects. It is necessary to increase the scale of control over the use of artificial intelligence-based tools available on the Internet so that this use does not generate disinformation, copyright violations, new categories of threats, cyber crime, etc.
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
[ISFN 2023 CFP]: Submissions deadline August 27, 2023
Dear researchers,
We are pleased to invite you to submit your paper(s) to The International Symposium on Intelligent Systems and Future Networks (ISFN 2023) organized in conjunction with The 14th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2023) [http://cs-conferences.acadiau.ca/euspn-23/important-dates.html], which will be held in Almaty, Kazakhstan on November 7-9, 2023.
For more details on the CFP, please visit the Symposium Website at:
We are looking forward to hearing from you!
Best regards,
ISFN 2023 Chairs
I'm asking for experts who's interested in neuroscience, philosophy of mind, philosophy of religion, biophysics or artificial intelligence systems and computation or related fields. Thank you!
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, a kind of online business advisor, using defined business websites and portals, financial and economic information portals, which will answer the questions of entrepreneurs, businessmen, managers in charge of companies and enterprises, who will ask questions about the future development of their business, their company, enterprise, corporation?
In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, a kind of online business advisor, using defined business websites and portals, financial and economic information portals, which will answer the questions of entrepreneurs, businessmen, managers in charge of companies and enterprises, who will ask questions about the future development of their business, their company, enterprise, corporation. Such intelligent systems drawing on large data and information resources, processing large sets of economic and financial information and data in real time on Big Data Analytics platforms, providing current analytical data to business intelligence systems supporting business management processes, can prove very useful as tools to facilitate organizational management processes, forecasting various scenarios of abnormal events and scenarios of developments in the business environment, diagnosing escalation of risks, supporting early warning systems, diagnosing and forecasting opportunities and threats to the development of the company or enterprise, providing warning signals for contingency and risk management systems.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, a kind of online business advisor, using defined business websites and portals, financial and economic information portals, which will answer the questions of entrepreneurs, businessmen, managers in charge of companies and enterprises, who will ask questions about the future development of their business, their company, enterprise, corporation?
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, a kind of intelligent online business advisor?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
The key issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this issue?
I invite you to familiarize yourself with the problems described in the article given above and to scientific cooperation on this issue.
Best wishes,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
Would you like to use a completely new generation of ChatGPT-type tool that would be based on those online databases you would choose yourself?
What do you think about such a business concept for an innovative startup: creating a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use only those online databases, knowledge bases, portals and websites that individual Internet users will select themselves?
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, determine, define?
In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, define, define. This kind of solution, which would allow personalization of the functionality of such generative artificial intelligence systems, would significantly increase its functionality for individual users, Internet users, citizens. In addition, the scale of innovative solutions for practical applications of such personalized intelligent systems for analyzing content and data contained in selected specific Internet resources would increase significantly.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use only those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, specify, define?
What do you think of such a business concept for an innovative startup: the creation of a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those online databases, knowledge bases, portals and websites that individual Internet users will themselves select?
Would you like to use a completely new generation of ChatGPT-type tool, which would be based on those online databases that you yourself would select?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
Dariusz Prokopowicz
What if it were scientifically confirmed that there are other life forms in the Universe on distant exoplanets, including other intelligent life forms?
What if it were scientifically confirmed that in the Universe there are thousands of exoplanets similar to our planet Earth other exoplanets many millions of light years away where other life forms exist, including other intelligent life forms would this change your understanding of the essence of humanity and the role, importance of man in the Universe, the desirability of his existence, the possible desirability of the process of evolution of life, etc.?
Just as centuries ago, the change from a geocentric to a heliocentric system of planetary and solar bodies in the system now known as the solar system was fundamental to the understanding of the role of man in the Universe, etc.? Yes in the future, when it is scientifically confirmed that in the Universe there are thousands of other exoplanets similar to our planet Earth, many millions of light years distant, on which there are other forms of life, including intelligent life forms this will also probably prove to be a breakthrough in the understanding of the essence of humanity and the role, importance of man in the Universe, the purposefulness of his existence, the possible purposefulness of the process of evolution of life, etc.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If it were scientifically confirmed that in the Universe there are thousands of exoplanets similar to our planet Earth, other exoplanets many millions of light years distant, on which there are other life forms, including other intelligent life forms, would this change your understanding of the essence of humanity and the role, importance of man in the Universe, the desirability of his existence, the possible desirability of the process of evolution of life, etc.?
What if it were scientifically confirmed that there are other life forms in the Universe on distant exoplanets, including other intelligent life forms?
And what is your opinion on this subject?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Self-programming is a good way to adapt intelligent systems. It's used for machines but I'm trying to use it in optimising the crop patterns.
May I please get this full text ?
Abraham, A., Siarry, P., Ma, K., & Kaklauskas, A. (2020).
Post-Truth AI and Big Data Epistemology: From the Genealogy of Artificial Intelligence to the Nature of Data Science as a New Kind of Science. In Intelligent Systems Design and Applications (Vol. 1181, pp. 540–549). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-49342-4_52
My email is 007808769@coyote.csusb.edu
Dear colleagues,
An electronic calculator developed by epidemiologists at Brock University has long been used effectively to predict lung cancer. But intelligent systems currently do not recognize many human diseases, so there are still many unsolved problems.
To carry out scientific research, outstanding specialists in electronic medicine are invited to the laboratory to analyze large amounts of data using intelligent systems. The main activity in the laboratory is the use of intelligent e-medicine systems for the analysis of large data sets in order to identify and cluster patients' diseases. The use of laboratory tools is free. Employees and the head of the laboratory do not receive a salary. Scientific research is carried out remotely without interruption from the main work. The results of scientific research will be published in popular scientific journals at the expense of grants received by laboratory staff. The results of the research are published in articles:
1. Almadi Mudar, Ryabtsev V.G. Application of e-medicine. // Published in Research Gate. – 2022. – 25 p. DOI : 10.13140/RG.2.2.26093.46565
2. Almadi Mudar, Ryabtsev V.G. Classification of tumors in human organs. // Published in Research Gate. – 2022. – 15 p. DOI: DOI: 10.13140/RG.2.2.28256.15368
3. Almadi Mudar, Ryabtsev V.G. Diagnostic’s kidney disease. // Published in Research Gate. – 2022. – 12 p. DOI: 10.13140/RG.2.2.13556.42884
4. Almadi Mudar, Ryabtsev V.G. Diagnosing liver disease. // Published in Research Gate. – 2022. – 10 p. DOI: 10.13140/RG.2.2.10620.41606
5. Almadi Mudar, Ryabtsev V.G. Intelligent lung cancer diagnosis system. // Published in Research Gate. – 2022. – 10 p. DOI: 10.13140/RG.2.2.22593.84328
6. Almadi Mudar, Ryabtsev V.G. Classification system for diseases human spine. // Published in Research Gate. – 2022. – 10 p. DOI: 10.13140/RG.2.2.14814.72009
One of our works is attached in the file.
Regards,
Head of Laboratory Akim Onoke
These datasets will be used for data classification and predicting new information
But intelligent systems currently do not recognize many human diseases, so there are still many unsolved problems.
To carry out scientific research, outstanding specialists in electronic medicine are invited to the laboratory to analyze large amounts of data using intelligent systems. The main activity in the laboratory is the use of intelligent e-medicine systems for the analysis of large data sets in order to identify and cluster patients' diseases. The use of laboratory tools is free. Employees and the head of the laboratory do not receive a salary. Scientific research is carried out remotely without interruption from the main work.
One of our works is attached in the file.
Regards,
Head of Laboratory Akim Onoke
What do you consider are the implications of Big Data on urban planning practice?
Hello
I am a PhD student looking to read some recent good papers that can help me identify a research topic in RL for controls applications . I have been reading through quite a few papers/topics discussing model free vs model based RL etc . Not been able to find something , may be I don't understand it yet to the extent :) .
Just for the background : My experience is with Diesel , SI engines , vehicles and controls .
One of the topics/areas that seems interesting to me is learning using RL in uncertain scenarios, this might seem to broad for most of the people .
Another possible area would be RL for connected vehicles, self driving etc .
Any help/suggestion is welcome .
Question-10: How will SSE enable the next generation of intelligent system software platforms and autonomous intelligence generation systems?
Such a system can be a Business Intelligence analytical platform connected to the Big Data database system, where information from the Internet is collected, collected, processed and analyzed, including comments from Internet users entered into social media portals.
On the basis of this data, analytics reports are created in the Business Intelligence system describing changes in interest, consumer preferences for specific products and services, as well as changes in the company's brand assessment that offers a specific product or service offer to the market.
These reports can be very tangible in the business management process, including they can support decision-making in the field of production planning as well as the distribution process, sales organization in the form via the Internet, in the form of e-commerce.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
How to build a decision support system in the field of selling on the Internet, online store, e-commerce?
Please reply
I invite you to the discussion
Thank you very much
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
Dear researchers,
If you choose a research topic, Intelligent Reflective Surfaces (IRS) in Wireless Communications
Is it a good topic to prepare scientific research on it within communications systems engineering?
What are your suggestions?
How do I start?
from where?
What are the negatives?
What are the pros?
Are there any of you who would like to work together to conduct scientific research on this topic?
Thank you so much
What kind of scientific research dominate in the field of Smart production?
Please, provide your suggestions for a question, problem or research thesis in the issues: Smart production.
Please reply.
I invite you to the discussion
Thank you very much
Best wishes
I'v used some matlab functions (based on mfiles) in my simulink. In order to decrease simulink running time I want to replace these blocks with a new toolbox.
Hello dear community,
I am looking for a valid and empirically tested conceptual model that links the following concepts: Business intelligence systems, decision making process and decision quality
Thanks for your help
how can I can submit my paper to this journal《control and intelligent system》？
Social robots have come to make life more enjoyable, especially for the elderly and people with special needs. The new techniques of explainable artificial intelligence and serious multigenerational video games will allow us to fully exploit the qualities of these robots so that they are part of our daily lives. From the UGIVIA unit of the UIB we are working on two national research projects in order to be able to transfer results to real environments in our society in a short time.
More info: EXPLainable Artificial INtelligence systems for health and well-beING (EXPLAINING) (PID2019-104829RA-I00/AEI/10.13039/501100011033)
More info: PERGAMEX, Design of pervasive gaming experiences for intergenerational social and emotional well-being, RTI2018-096986-B-C31
All questions and suggestions are welcomed!.
Hello everyone,
I would like to bring to your attention an exciting conference for 2021 in Rome, Italy.
Human Centred Intelligent Systems
HCIS-21 is an international scientific symposium for research in the fields of human center intelligent systems. The aim of the conference is to provide an internationally respected forum for scientific research in the technologies and applications of human center intelligent systems.
Published
The Full Papers conference proceedings will be published by Springer as book chapters in a volume of the KES Smart Innovation Systems and Technologies series, submitted for indexing in Scopus and Thomson-Reuters Conference Proceedings Citation Index (CPCI) and the Web of Science. (The Short Papers and Abstracts conference proceedings will be published online and will not appear in the Springer volume).
Highlighted Session - IS02: Artificial Intelligence in the corporate application
The use of AI in business applications is becoming increasingly important. This not only concerns applications in the area of production & logistics, but also in administrative organizational units such as purchasing, sales or controlling. In this session we expect contributions on Data Science, Descriptive, Predictive and Prescriptive Analytics, or application of Machine Learning to operational problems. The contributions may include use cases, new methodological approaches, decision support or integration of these approaches into the operational organization. We encourage the submission of papers of completed research projects, but also the presentation of new research concepts/approaches including the description of the methodological approach. Both aspects, the methodologically sound approach and the relevance for operational application, are important to us.
Details and Links
Pages: English, 10 pages
Submission Deadline: 11.01.2021
Links:
Conference - http://hcis-21.kesinternational.org/
Invited Sessions - http://hcis-21.kesinternational.org/cmsISdisplay.php
AI in Practice Session - http://hcis-21.kesinternational.org/cms/userfiles/is02.pdf
Instructions for authors - https://www.springer.com/series/8767
I am actually working in a project: 'AI and inter-enterprise networking enhancement', and i need some more recent info concerned with the developments in the field of AI utilisation in Business Processes.
Can anybody give some suggestions/recommendations?
Thanks in advance!
The one important principle to building difficult System of Systems is Modularity.
I think that a modular approach and philosophy should be use to building of AI Systems as well. It can be a modular combination of different Neural Networks into Big Hierarchical systems etc. But in current time I don't see an implementation of this in a practice.
What is your opinion regarding to this issues? What is the better way to ahead?
In the education discipline, several leadership theory has been discussed but no such mathematical foundations are available to estimate them. More, especially how can I differentiate( in terms of Mathematical expressions ) the several leadership styles in decision making problems so that I could get the better one; and the decision maker would comfort to apply their industrial/ managerial/ organizational situation ? We may assume that, the problem is a part of fuzzy decision making/ intelligent system / artificial intelligent system/ soft system.
The leaders are manager of an industry/ organization/ corporate house, the ministry of a Government / the agents of a marketing system, the representatives of customers of a particular product in a supply chain management problem.
