AIT machine learning challenge

I am a French applied mathematician based in Amsterdam that is 

currently organising a machine learning challenge at the intersection 

of algorithmic information theory and number theory: 

 

 

Cheers, 

 

Aidan Rocke

More information: http://www.hutter1.net/ait.htm

the 7th International Conference on Advanced Intelligent Systems and Informatics,11-13 December, 2021, Egypt

*Apologies if you receive multiple copies of this CFP*

the 7th International Conference on Advanced Intelligent Systems and Informatics (AISI’21),

11-13 December 2021, Egypt

http://egyptscience.net/AISI2021/home.html

Submission Deadline: July 1, 2021

We welcome your participation and contribution to the 7th International Conference on Advanced Intelligent Systems and Informatics (AISI’21), held in Cairo, Egypt, during December 11-13, 2021. The 7th edition of AISI will be organized by the Scientific Research Group in Egypt (SRGE) in collaboration with the VSB-Technical University of Ostrava, Czech Republic. AISI is arranged to provide an international forum that brings together those actively involved in the areas of interest and report on up-to-the-minute innovations and developments to summarize the state-of-the-art to exchange ideas and advances in all aspects of informatics and intelligent systems, technologies, and applications. All accepted papers will be published in the conference proceedings published by Springer (Approved) in the series of “Lecture Notes in Networks and Systems”  and abstracted/indexed in Web of ScienceSCOPUS, and EI_Compendex. We are also providing online presentation facilities to authors who are unable to attend the conference as well as PPT record is acceptable

List of topics: http://egyptscience.net/AICV2021/call-for-paper.html

Paper submission  https://ocs.springer.com/misc/conference/submitpaperto/AISI2021

Important Dates: 

–       Paper submission:  

–       Acceptance notification: 

–       Camera ready:  

–       Registration:  

–       Conference dates:  

July 1, 2021

August 15, 2021

August 30, 2021

August 30, 2021

December 11-13, 2021

 

General Chair

Professor Vaclav Snasel, VSB-Technical University of Ostrava, Czech Republic

Conference Co-chairs

Professor Ashraf Darwish, Faculty of Science, Helwan University, Egypt

Professor Tarek Gaber, Faculty of Computers & Informatics,  Suez Canal University, Ismailia, Egypt.

Program Chairs

Professor Kuo-Chi Chang, Fujian University of Technology, China

 

For any queries, Please contact Aboul ella Hassanien (aboitcairo@cu.edu.eg)

 

 

School of AI April

On April 8th Thursday, School of AI April session brings two AI/ML scientists to give free lectures. 
Our doors are open to everyone. You can get a ticket via;
Due to our security concerns, we send the Zoom link only to the participants who got a ticket.

Beril Sirmacek, Dr. 

ACDL 2021: Deadline April 9

#ACDL2021, 4th Online & Onsite Advanced Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Siena – Tuscany, Italy  
#ACDL2021, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders
ACDL 2021 – A Unique Experience:
#DataScience, #MachineLearning & #ArtificialIntelligence with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano
(Online attendance available) 
Certosa di Pontignano, Siena – #Tuscany, Italy
July 19-23
ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse
REGISTRATION:
Early Registration: by April 9 
DEADLINES:
o Early Registration: by April 9
o Oral/Poster Presentation Submission Deadline: April 9
o Late Registration: from April 10
o Accommodation Reservation at Reservation at the Certosa di Pontignano: by Saturday July 10, 2021
o Notification of Decision for Oral/Poster Presentation: by Monday May 31, 2021
ACDL 2021 LECTURERS:  
Each Lecturer will hold three/four lessons on a specific topic.
* Pierre Baldi, University of California Irvine, USA
* Bettina Berendt, KU Leuven, Belgium
* Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation
* Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh
* Silvia Chiappa, DeepMind, London, UK
* Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI
* Marco Gori, University of Siena, Italy
* Georg Gottlob, Computer Science Dept, University of Oxford, UK
* Michael I. Jordan, University of California, Berkeley, USA
* Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK   
* Panos Pardalos, University of Florida, USA
* Daniela Rus, MIT, USA) Director of CSAIL (TBC)
* Silvio Savarese, Stanford, University, USA Institute for Human-Centered Artificial Intelligence
* Cristina Savin, New York University, Center for Neural Science and Center for Data Science, USA
* Naftali Tishby, Hebrew University, Israel  
* Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, Tübingen, Germany
* Mihaela van der Schaar, University of Cambridge, UK
More Keynote Speakers to be announced soon.
ACDL 2021 TUTORIAL SPEAKERS:
* Roman Belavkin, Middlesex University London, UK
* Martín Gómez Ravetti, Federal University of Minas Gerais, Brazil
More Tutorial Speakers to be announced soon.
PAST LECTURERS:
* Ioannis Antonoglou, Google DeepMind, UK
* Igor Babuschkin, DeepMind – Google, London, UK
* Pierre Baldi, University of California Irvine, USA
* Roman Belavkin, Middlesex University London, UK
* Yoshua Bengio, University of Montreal, Canada
* Michael Bronstein, Twitter & Imperial College London, UK
* Sergiy Butenko, Texas A&M University, USA
* Giuseppe Di Fatta, University of Reading, UK
* Marco Gori, University of Siena, Italy
* Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute
* Phillip Isola, MIT, USA
* Leslie Kaelbling, MIT – Computer Science & Artificial Intelligence Lab, USA
* Diederik P. Kingma, Google Brain, San Francisco, CA, USA
* Ilias S. Kotsireas, Wilfrid Laurier University, Canada
* Risto Miikkulainen, University of Texas at Austin, USA
* Peter Norvig, Director of Research, Google
* Panos Pardalos, University of Florida, USA
* Alex 'Sandy' Pentland, MIT & Director of MIT’s Human Dynamics Laboratory, USA
* José C. Principe, University of Florida, USA
* Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA
* Dolores Romero Morales, Copenhagen Business School, Denmark
* Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA
* Guido Sanguinetti, The University of Edinburgh, UK
* Josh Tenenbaum, MIT, USA
* Naftali Tishby, Hebrew University, Israel
* Mihaela van der Schaar, University of Cambridge
* Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
* Oriol Vinyals, Google DeepMind, UK
SCOPE:
MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic.
Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless.
The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime.
 
VENUE:
The venue of ACDL 2021 will be The Certosa di Pontignano — Siena
Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens.
ACCOMMODATION:
PAST EDITIONS 
REGISTRATION:
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
Anyone interested in participating in ACDL 2021 should register as soon as possible!
Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible!
All course participants should/must stay at the Certosa di Pontignano.
See you in 3D or 2D 🙂 in Tuscany next July!
                   ACDL 2021 Organizing Committee.



*LOD 2021*
7th International Conference on machine Learning, Optimization & Data science – LOD 2021  
Wordsworth Hotel & Spa  – Grasmere, Lake District, England, UK  
October 5 – 8, 2021

Paper Submission deadline:  April 9, 2021 (Anywhere on Earth)

E:    lod@icas.cc

*ACDL 2021*
4th Advanced Course on Data Science & Machine Learning – ACDL2021
July 19-23, 2021, Certosa di Pontignano, Siena – Tuscany, Italy 
An Interdisciplinary Course: Big Data, Deep Learning & Artificial intelligence without Borders

Early Registration: by  April 9, 2021

* ACAIN2021 * the 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, October 5 – 8, 2021, The Wordsworth Hotel & SPA, Grasmere, Lake District, England – UK

Paper Submission Deadline: By April 9, 2021
Early Registration Deadline: by Thursday July 15, 2021


The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.

Registration link VDL “ARTIFICIAL INTELLIGENCE (AI) FOR MASSIVE INTERNET OF THINGS (MIOT)”- DR. ARUMUGAM NALLANATHAN

VIRTUAL DISTINGUISHED LECTURE “ARTIFICIAL INTELLIGENCE (AI) FOR MASSIVE INTERNET OF THINGS (MIOT)”- DR. ARUMUGAM NALLANATHAN

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“Artificial Intelligence (AI) for Massive Internet of Things (mIoT)”.

Dr. Arumugam Nallanathan on April 20th 17 Hs USA EDT

(22 Hs London /18 Hs Arg Bra Chi Uru / 16Hs Ecu Per Col Mex / 15 HS Costa Rica).


Arumugam Nallanathan, FIET, FIEEE, Professor of Wireless Communications, Head of Communication Systems Research (CSR) Group, School of Electronic Engineering and Computer Science, Faculty of Science and Engineering, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom, Web: http://www.eecs.qmul.ac.uk/~nalla/

SHORT-BIO: 

Arumugam Nallanathan is Professor of Wireless Communications and Head of the Communication Systems Research (CSR) group in the School of Electronic Engineering and Computer Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King’s College London from December 2007 to August 2017, where he was Professor of Wireless Communications from April 2013 to August 2017 and a Visiting Professor from September 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering, National University of Singapore from August 2000 to December 2007.  

His research interests include Artificial Intelligence for Wireless Systems, 5G and beyond Wireless Networks, Internet of Things (IoT) and Molecular Communications. He published nearly 500 technical papers (including more than 200 top IEEE journal papers) in scientific journals and international conferences. He is a co-recipient of the Best Paper Awards presented at the IEEE International Conference on Communications 2016 (ICC’2016), IEEE Global Communications Conference 2017 (GLOBECOM’2017) and IEEE Vehicular Technology Conference 2017 (VTC’2017). He is an Editor for IEEE Transactions on Communications and a Senior Editor for IEEE Wireless Communications Letters. He was an Editor for IEEE Transactions on Wireless Communications (2006-2011), IEEE Transactions on Vehicular Technology (2006-2017) and IEEE Signal Processing Letters. He served as the Chair for the Signal Processing and Communication Electronics Technical Committee of IEEE Communications Society and Technical Program Chair and member of Technical Program Committees in numerous IEEE conferences. He received the IEEE Communications Society SPCE outstanding service award 2012 and IEEE Communications Society RCC outstanding service award 2014. He has been selected as a Web of Science (ISI) Highly Cited Researcher in 2016. He is an IEEE Fellow and IEEE Distinguished Lecturer. 

ABSTRACT:  Cellular-based networks are expected to offer connectivity for massive Internet of Things (mIoT) systems. However, their Random Access CHannel (RACH) procedure suffers from unreliability, due to the collision from the simultaneous massive access. Despite that this collision problem has been treated in existing RACH schemes, these schemes usually organize IoT devices’ transmission and re-transmission along with fixed parameters, thus can hardly adapt to time-varying traffic patterns. Without adaptation, the RACH procedure easily suffers from high access delay, high energy consumption, or even access unavailability. In this talk, how to optimize the RACH procedure in real-time by maximizing a long-term hybrid multi-objective function, which consists of the number of access success devices, the average energy consumption, and the average access delay will be presented.



  DATE AND TIME

  LOCATION

  HOSTS

  REGISTRATION



Registered attendes, will be mailed with the WEBINAR link 24 hours before the event.

  • Montevideo
  • MONTEVIDEO
  • Uruguay

Staticmap?size=250x200&sensor=false&zoom=14&markers= 34.9058916%2c 56
  • Starts 07 April 2021 06:00 AM
  • Ends 20 April 2021 02:00 AM
  • All times are America/New_York
  • No Admission Charge







Agenda

REGISTERED ATEENDES WILL BE MAILED THE CONNECTION LINK 24 HOURS BEFORE THE EVENT:

REGISTRATION LINK: https://events.vtools.ieee.org/event/register/269122

EVENT: https://events.vtools.ieee.org/m/269122

AGENDA:

Introduction to NB-IoT

Challenges in NB-IoT

Solution using Deep Reinforcement Learning




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