4th Virtual International Conference ICMCSI 2023 12 January 2023 – Tribhuvan University, Nepal

November 7th, 2022 Daniela Lopez de Luise

display this

display this

4th Springer International Conference on Mobile Computing and Sustainable Informatics
[ICMCSI 2023]

ISSN: 2367-4520
Dear Researcher

With a consecutive success in the Scopus-Indexed Publication. We are now back with our next successive  4th Springer International Conference on Mobile Computing and Sustainable Informatics [ICMCSI 2023] organized in association with Tribhuvan University, Nepal on 11-12, Januray 2023. We assure that, the proceedings of conference will be strictly subjected for inclusion into Springer – Lecture Notes on Data Engineering and Communications Technologies [Submitted to Web of Science].

Due to COVID-19, The Conference will be Hosted in ONLINE Mode

All accepted and registered papers of 4th ICMCSI 2023 will be published in Springer LNDECT

[Publication Time: 2 to 3 months from the conference Date]

display this

Series Ed.: Xhafa, Fatos | ISSN: 2367-4512

https://www.springer.com/series/15362

** Indexing:  EI Compendex, INSPEC, Scopus**
All books published in the series are submitted to Web of Science.

ICMCSI Series @ Springer
1st ICMCSI 2020 Publication
2nd ICMCSI 2021 Publication
3rd ICMCSI 2022 Publication

Authors can submit manuscript via Easychair: https://easychair.org/conferences/?conf=icmcsi2023

4th ICMCSI 2023 Conference Brochure

To visit ICMCSI 2023 Conference Website – Click Here

For Queries: +91 8870489968 / icmcsi.conf@gmail.com

display this

Regards

Dr. Subharna Shakya
[Organizing Secretary‐ICMCSI 2023]
Institute of Engineering,
Tribhuvan University,
Nepal.

ICMCSI 2023 Publication Partner
CSI 2023 Organized By

display this

Read More »

Live free e-Lecture by Prof. Ioannis Pitas “AI Science and Engineering, a new scientific discipline? Societal and environmental impact”, Tuesday, 15th November 2022, 17:00-18:00 CET

November 7th, 2022 Daniela Lopez de Luise

Prof. Ioannis Pitas, a prominent AI researcher internationally, will deliver the e-lecture: 

“AI Science and Engineering, a new scientific discipline? Societal and environmental impact“

on Tuesday 15th November  2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST).

 

You can join for free without registration using the zoom link: https://authgr.zoom.us/j/94255772113 Passcode: 867064

Attendance is free.

 

Lecture:  “AI Science and Engineering, a new scientific discipline? Societal and environmental impact“

Abstract: Is “AI Science and Engineering” an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? As Artificial Intelligence (AI) studies and research flourish worldwide, it is worth debating whether we already observe the birth of a new discipline in the exact sciences that goes beyond the classical specializations of Computer Science (CS) and Electrical/Computer Engineering (ECE). It is natural that AI and its various domains, notably Machine Learning, will share methods and curriculum with both CS and ECE. However, this is not really enough to move from our current Data/Information Society to a Knowledge Society. We certainly need a fusion of AI with brain and mind studies, notably Neuroscience, Cognitive Science and Psychology. Furthermore, AI has a huge impact on both our society and environment. We already observe strong AI applications in social engineering domains, e.g., on recommendation systems, on-line marketing, social media,  meta-societies and fake news. It is natural that such applications will influence the AI Science and Engineering discipline itself. Furthermore, as humans consist of matter and live in a spatiotemporally evolving environment, life and environment studies, e.g., on matter complexity, can have a fundamental impact on both the understanding of life and human intelligence and on the development of AI. However, as students cannot be polymaths, are all the above issues too many to fit in one scientific discipline? Is there a danger that we sacrifice scientific depth to interdisciplinarity? Can we envisage other sister-disciplines, e.g., Mind and Social Science and Engineering and/or Bioscience and Engineering that can address students with interests and background in Liberal Arts and Sciences or Biology/Medicine/Health Sciences?     

 

No matter their exact form, AI Science and Engineering and its sister disciplines have many great challenges to address. Here is a partial list:

  • Is AI Science and Technology a scientific discipline in its own right?
  • How can we quantify knowledge?
  • Can Virtual Reality truly empower meta-societies or is it just a hype? 
  • Can AI-powered human-centred computing surpass human intelligence?
  • Can we create self-conscious machines?
  • Can Mind and Social Engineering manipulate human behaviour and social functions?
  • How do social media facilitate disinformation?
  • What are the envisaged effects of AI and IT on our personal relations and sexual life?
  • How can we not only protect but also monetize our personal data?
  • Can AI help devising new political systems?
  • How are irrationalism, anti-elitism, and social media disinformation related?
  • Can new technologies ignite social revolutions?
  • Is life and intelligence due to matter complexity?
  • Can we patch parts of our brain?
  • Is climate controllable through Geoengineering?
  • Can humanity progress without resorting to energy-intensive technologies?

As each of them needs an entire book to be properly addressed, this lecture will simply introduce few of these challenges for further discussion and debate.

 

All the above issues are addressed in the new 1050+ page book “Artificial Intelligence Science and Society” consisting of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner:

  1. “Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology“

https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860

  1. “Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans“ https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860
  2. “Artificial Intelligence Science and Society Part C: AI Science and Society“ https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860
  3. “Artificial Intelligence Science and Society Part D: AI Science and the Environment“

https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860

About the Lecturer: This lecture and book are a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the  Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022).

 

This lecture is part of the SIG Icarus ‘Digital days’ lectures offered by the AIIA Computer Vision and Machine Learning (AIIA.CVML) R&D group of the  Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 

 

Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml

 

Read More »

Negotiation Strategies for Success programme by NUS Lee Kuan Yew School of Public Policy | Accepting Applications

November 7th, 2022 Daniela Lopez de Luise

View online | Your support of promotional mailers like these (upto 2 per day) helps us keep the TradeBriefs newsletter free. If you still wish to Unsubscribe, you can do so here. For inquiries/unsubscribe issues, Contact Us

Sir/Madam – Introducing the new Negotiation Strategies for Success Programme from NUS’s Lee Kuan Yew School of Public Policy.
Emeritus
Negotiation Strategies for Success
Why Should You Enrol for This Programme?
Dear Sir/Madam,

Most people do not realise the amount of time spent in the process of negotiation. It's not just about business deals and contracts. We are negotiating our way through each day from home to work and back home again. And by learning to claim power while also understanding others, you can be more successful at it.

Programme Details
Starts on
STARTS ON
15 December 2022
Duration
DURATION
2 Months
4-6 hours per week
Format
FORMAT
Online
Programme Fees
PROGRAMME FEES
USD 1,500
DOWNLOAD BROCHURE
Negotiation Strategies for Success, the new programme from Lee Kuan Yew School of Public Policy Executive Education, National University of Singapore is designed to do just that. As a participant in this 2-month online programme, you will:
● Learn to empathise with and influence your counterparts
● Ideate innovative solutions for different types of negotiations and situations
● Explore negotiation methods and practices that enhance your creative thinking and contextual analysis capabilities
● Improve your ability to negotiate in virtually any situation
What You Will Learn
Through recorded video lectures with faculty, challenging exercises and assignments and real-world-case studies, you will develop a combination of critical thinking and behavioral skills to ensure negotiations success. Topics include:
Module 1: Why Negotiate
Module 2: Gain Power
Module 3: Understand the Other
Module 4: Learn to Influence
Module 5: Carry Out a Negotiation
Module 6: Bring Home the Deal
LEARN MORE
Faculty
Francesco Mancini
Francesco Mancini
Vice Dean (Executive Education) and Associate Professor in Practice Lee Kuan Yew School of Public Policy
Flexible payment options starting from USD 630 available now.
APPLY NOW
Regards,
Lee Kuan Yew School of Public Policy Executive Education, National University of Singapore is collaborating with online education provider Emeritus to offer a portfolio of high-impact online programmes. Working with Emeritus gives LKYSPP ExecEd, NUS the advantage of broadening its access beyond their on-campus offerings in a collaborative and engaging format that stays true to the quality LKYSPP ExecEd, NUS.
Emeritus Institute of Management | Committee for Private Education Registration Number 201510637C | Period: 29 March 2022 to 28 March 2026.

Read More »

INTELLI 2023: Special Track Invitation

November 5th, 2022 Daniela Lopez de Luise

 

Special Track Invitation

INTELLI 2023, The Twelfth International Conference on Intelligent Systems and Applications

March 13 – 17, 2023 – Barcelona, Spain

 

Dear INTELLI 2023 technical committee member,

During INTELLI 2023, taking place during March 13 – 17, 2023 in Barcelona, Spain, the IARIA Board decided to have a few special tracks. This will strengthen the event and provide more visibility to the committee members.

To that respect, a few scientists were selected from the program committee of the conference. You are invited to participate in this initiative to gather contributors and organize a special track on a topic you and your peers are working on.

The submission deadline for special track articles is January 26. All events will be held in a hybrid mode: on site, prerecorded videos, voiced presentation slides, pdf slides.

After reading the invitation, a reply is greatly appreciated regarding your availability to take part in this effort. Then, a step-by-step procedure will be communicated to you.

If you accept this invitation, but are unable to participate as chair during the conference, you can delegate that task to someone else from your team when time comes. If your schedule does not allow you to undertake this effort, feel free to forward this invitation to a colleague.

A special track is intended to work this way:

The benefits of the special track Chair:

  • The Chair of a successful track is granted the registration fees
  • The Chair of a successful track is granted one Publication of a regular scientific paper
  • The Chair is granted one Editorial writing on the topic, to be posted on www.iaria.org under Additional Publications (not in proceedings)
  • The Chair can select one paper to be invited (as extended version) for publication in a IARIA Journal (see www.iariajournals.org)
  • The Chair is listed as an editor of the INTELLI 2023 proceedings.

Note: A track is successful when minimum 3-4 contributions are registered as regular contributions.

The responsibilities of the Chair

  • The Chair has the freedom to select and propose the topic of the track and the contributors (the chair will provide a track title, an acronym, and selected appropriate sub-topics)
  • The Chair identifies and invites as many contributors/authors as possible (among team members, project partners, scientific colleagues, students, etc.)
  • The Chair distributes the Call for Contributions (CfC) and persuades the potential contributors (note: a submission site will be set up and mentioned in the CfC)
  • The Chair cooperates with the logistics to conclude the peer-review (reviewers, from the conference committee, are allotted by the logistics)

The conference logistics will then

  • Allot the technical program committee members selected from the main committee to perform the peer-review process.
  • Cross-validate editorial/grammar aspects and work with the contact-authors to fix the camera-ready version, with several revalidations if needed
  • Provide the appropriate presentation slot in the main program schedule
  • Publish the papers in the open access digital library (ThinkMind, www.thinkmind.org)
  • Once at least 3 authors register for the event, a waiver code will be provided to the Chair to be used towards the free registration

The papers will be in the conference proceedings and publicly accessible in an open access digital library at www.thinkmind.org

Information for the authors

Potential contribution types

  • regular papers [in the proceedings, digital library]
  • short papers (work in progress) [in the proceedings, digital library]
  • ideas: two pages [in the proceedings, digital library]
  • extended abstracts: two pages [in the proceedings, digital library]
  • posters: two pages [in the proceedings, digital library]
  • posters: slide only [slide-deck posted on www.iaria.org]
  • presentations: slide only [slide-deck posted on www.iaria.org]
  • demos: two pages [posted on www.iaria.org]

If you agree, please:

  • Email to steve@iaria.org a title/topic of the special track, as soon as you have one
  • Take note that the submission deadline for special tracks is January 26

These dates are somewhat flexible, providing arrangements are made ahead of time with you. A reply is appreciated, regardless of the decision, for a better coordination among topics/special tracks. If you take the leadership of a special track, a step-by-step procedure will be communicated to you.

Thanks, and looking forward for your position!

Steve
steve@iaria.org
INTELLI 2023

Read More »

Asynchronous Web e-Courses on Machine Learning and Neural Networks/Deep Learning on offer. Free access to course material

November 3rd, 2022 Daniela Lopez de Luise
Neural Networks/Deep Learning (14 Lectures), http://icarus.csd.auth.gr/neural-networks-and-deep-learning-web-module/
  1. Artificial Neural Networks. Perceptron
  2. Multilayer Perceptron. Backpropagation.
  3. Convolutional Neural Networks
  4. 1D Convolutional Neural Networks
  5. Deep Autoencoders
  6. Attention and Transformer Networks
  7. Recurrent Neural Networks. LSTMs
  8. Deep Object Detection
  9. Special topics in Object Detection
  10. Few-Shot Object Recognition
  11. Deep Semantic Image Segmentation
  12. Adversarial Machine Learning
  13. Generative Adversarial Networks in Multimedia Creation
  14. Mathematical Brain Modeling

 

Machine Learning  (12 Lectures), http://icarus.csd.auth.gr/machine-learning-web-module/

1)      Introduction to Machine Learning

2)      Data Clustering

3)      Distance-based Classification

4)      Decision Surfaces. Support Vector Machines

5)      Label Propagation

6)      Dimensionality Reduction

7)      Graph-based Dimensionality Reduction

8)      Kernel Methods

9)      Bayesian Learning

10)   Parameter Estimation

11)   Hypothesis Testing

12)   Syntactic Pattern Recognition

 

Around 50% of the lectures provide free access to the full lecture pdf!

 

You can find sample Web e-Course Module material to make up your mind and/or can perform CVML Web e-Course registration in:

http://icarus.csd.auth.gr/cvml-web-lecture-series/

For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>

 

More information on this Web e-course: This Web e-Course Computer Vision material that can cover a semester course, but you can master it in approximately 1 month.

Course materials are at senior undergraduate/MSc level in a CS, CSE, EE or ECE or related Engineering or Science Department. Their structure, level and offer are completely different from what you can find in either Coursera or Udemy.

 

CVML Web e-Course Module materials typically consist of: a) a lecture pdf/ppt, b) lecture self-assessment understanding questionnaire and lecture video, programming exercises, tutorial exercises (for several modules/lectures)  and overall course module satisfaction questionnaire.

Asynchronous tutor support will be provided in case of questions.

Course materials have been very successfully used in many top conference keynote speeches/tutorials worldwide and in short courses, summer schools, semester courses delivered by AIIA Lab physically or on-line from 2018 onwards, attracting many hundreds of registrants.

 

More information on other CVML Web e-course: Several other Web e-Course Modules are  offered on Deep Learning, Computer Vision, Autonomous Systems, Signal/Image/Video Processing, Human-centered Computing, Social Media, Mathematical Foundations, CVML SW tools.

See: http://icarus.csd.auth.gr/cvml-web-lecture-series/

 

Read More »
« Older Entries
Newer Entries »
Design by 2b Consult