Sumate al 9° Congreso Argentino de RRHH | Abierta la inscripción
July 26th, 2023 
Daniela Lopez de Luise 
2023 IEEE MTT-S Latin America Microwave Conference (LAMC) in Costa Rica, Deadlines extended
July 25th, 2023 Daniela Lopez de Luise 
Call for Papers – The 21st IEEE International Conference on Pervasive Intelligence and Computing (PICom 2023)
July 25th, 2023 Daniela Lopez de Luise The 21st IEEE International Conference on Pervasive Intelligence and Computing (PICom 2023)
https://icnetlab.org/cyber-science2023/picom/index.html
Joint conference IEEE DASC/PICom/CBDCom/CyberSciTech 2023
14-17 Nov, 2023 || Abu Dhabi, UAE
Over the last fifty years, computational intelligence has evolved from artificial intelligence, nature-inspired computing, and social-oriented technology to cyber-physical integrated ubiquitous intelligence towards Pervasive Intelligence (PI). The IEEE International Conference on Pervasive Intelligence and Computing is intended to cover all kinds of these intelligent paradigms as well as their applications in various pervasive computing domains. PICom-2023 is the conference on Pervasive Intelligence and Computing, previously held as PCC (Las Vegas, USA, 2003 and 2004), PSC (Las Vegas, USA, 2005), PCAC (Vienna, Austria, 2006, and Niagara Falls, Canada, 2007), IPC-2007 (Jeju, Korea, December 2007), IPC-2008 (Sydney, Australia, December 2008), and since 2009 as the name PICom. It aims to bring together computer scientists and engineers, to discuss and exchange experimental and theoretical results, work-in-progress, novel designs, and test-environments or testbeds in the important areas of Pervasive Intelligence and Computing.
Tracks
Track 1: Computational Intelligence
Track 2: Intelligent Networks, Middleware and Applications
Track 3: Pervasive Computing and Activity/Affect Recognition
Track 4: Smart Object, Environment, System and City
Track 5: Edge Intelligence
In addition to the Technical sessions, we will have a workshop and a special session on highly relevant and timely topics. Calls for papers for the workshop and technical session are on their respective websites:
Special Session on Distributed Machine Learning for Edge/Fog Computing: Challenges and Future Directions – https://asuna-as.github.io/conferenceWebsite/
Workshop on AI and Big Data for Next-G Internet of Medical Things 2023: https://sites.google.com/view/ai-iomt-2023/home
Topics of interests include, but are not restricted to:
- Deep Learning and Deep Computation
- Big Data and Smart Data
- Brain-inspired Computing
- Crowdsourcing and Social Computing
- Collective Intelligence
- Agent-based Computing
- Ubiquitous Intelligence
- Cyber-Physical Computing
- The Internet of Things
- Cloud of Things and Cloud of Sensors
- Embedded HW, SW and Systems
- Pervasive Devices and RFIDs
- Wearable Devices and Applications
- Sensor Technology and Networks
- Pervasive Networks/Communications
- Edge and Fog Computing
- Mobile Edge Computing (MEC)
- Device Virtualization
- Privacy, Security and Trust
- Context-Aware Computing
- Mobile Data Mining
- Ubiquitous Data Mining
- Activity Recognition
- Intelligent Cloud Computing
- Services for Pervasive Computing
- Smart Cities and Smart Homes
- Intelligent Social Networking
- Pervasive Technologies for ITS
- HCI for Pervasive Computing
- Mobile Data Modeling
- Middleware for Pervasive Computing
- Intelligent/Smart IoT
- Programming Abstractions for IoT
- Semantic Analysis
Submission Link : https://easychair.org/conferences/?conf=dascpicomcbdcomcyber0
Important dates
Main Conference Papers
Paper Submission Due: 1 July, 2023 1 August, 2023
Authors Notification: 15 September, 2023
Camera-ready Submission: 30 September, 2023
Honorary Chair
Albert Zomaya, The University of Sydney, Australia
General Chair
Flavia C. Delicato, Fluminense Federal University, Brazil
Program Co-chairs
Antonio Liotta, University of Bolzano, Italy
Deepak Puthal, Khalifa University, UAE
Tracks Co-Chairs
Lorenzo Carnevale, University of Messina, Italy
Ali Dewan, Athabasca University, Canada
Nicolas Tsapatsoulis, Cyprus Univ. of Tech., Cyprus
Claudio Miceli de Farias, Federal University of Rio de Janeiro, Brazil
Souvik Pal, Society for Intelligent Systems, Chennai, India
Workshop & Special Session Chairs
Antonio Guerrieri, ICAR-CNR, Italy
Paulo de Figueiredo Pires, Dell, Brasil
Publicity Chairs
Celimuge Wu, The University of Electro-Communications, Japan
Evandro Macedo, IC-UFRJ, Brazil
Andrea Vinci, ICAR-CNR, Italy
Xiuwen Fu, Shanghai Maritime University, China
Gautam Srivastava, Brandon University, Canada
Kapal Dev, Munster Technological University, Ireland
Advisory Chair
Victor Chang, Aston University, United Kingdom
Steering Committee
Jianhua Ma, Hosei University, Japan
Laurence T. Yang, St. Francis Xavier Univ., Canada
Adnan Al-Anbuky, Auckland U Tech., New Zealand
Flavia C. Delicato, Fluminense Federal University, Brazil
ICCV Workshop and (SMART-101) Challenge on Vision and Language Algorithmic Reasoning (VLAR 2023)
July 25th, 2023 Daniela Lopez de Luise Vision-and-Language Algorithmic Reasoning (VLAR 2023)
Workshop and Challenge
October 3, 2023, Paris, France
Held in conjunction with ICCV 2023
CALL FOR CONTRIBUTIONS
The focus of this workshop is to bring together researchers in multimodal reasoning and cognitive models of intelligence towards positioning the current research progress in AI within the overarching goal of achieving machine intelligence. An important aspect is to bring to the forefront problems in perception, language modeling, and cognition that are often overlooked in state-of-the-art research and that are important for making true progress in artificial intelligence. One specific problem that motivated our workshop is the question of how well current deep models learn broad yet simple skills and how well do they generalize their learned models to solve problems that are not part of their learning set; such skills even children learn and use effortlessly (e.g., see the paper “Are Deep Neural Networks SMARTer than Second Graders?”). In this workshop, we plan to bring together outstanding researchers to showcase their cutting edge research on the above topics that will inspire the audience to bring out the missing pieces in our quest to solve the puzzle of artificial intelligence.
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IMPORTANT DATES
* Paper Track
Submission deadline: ***July 24, 2023*** (11:59PM EDT) (extended from July 20, 2023)
Paper decisions to authors: August 7, 2023
Camera-ready deadline: August 18, 2023 (11:59PM EDT)
* SMART-101 Challenge Track
Challenge open: June 15, 2023.
Submission deadline: September 1, 2023 (11:59PM EDT).
Arxiv paper deadline to be considered for awards: September 1, 2023 (11:59PM EDT).
Public winner announcement: October 3, 2023 (11:59PM EDT).
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TOPICS FOR PAPER TRACK
We invite submissions of original and high-quality research papers in the topics related to vision-and-language algorithmic reasoning. The topics for VLAR 2023 include, but are not limited to:
* Large language models, vision, and cognition including children’s cognition
* Foundation models of intelligence, including vision, language, and other modalities
* Artificial general intelligence / general-purpose problem solving architectures
* Neural architectures for solving vision & language or language-based IQ puzzles
* Embodiment and AI
* Large language models, neuroscience, and vision
* Functional and algorithmic / procedural learning in vision
* Abstract visual-language reasoning, e.g., using sketches, diagrams, etc.
* Perceptual reasoning and decision making
* Multimodal cognition and learning
* New vision-and-language abstract reasoning tasks and datasets
* Vision-and-language applications
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SUBMISSION INSTRUCTIONS FOR PAPER TRACK
* We are inviting only original and previously unpublished work. Dual submissions are not allowed.
* All submissions are handled via the workshop’s CMT Website: https://cmt3.research.microsoft.com/VLAR2023.
* Submissions should not exceed four (4) pages in length (excluding references).
* Submissions should be made in PDF format and should follow the official ICCV template and guidelines.
* All submissions should maintain author anonymity and should abide by the ICCV conference guidelines for double-blind review.
* Accepted papers will be presented as either an oral, spotlight, or poster presentation. At least one author of each accepted submission must present the paper at the workshop.
* Presentation of accepted papers at our workshop will follow the same policy as that for accepted papers at the ICCV main conference
* Accepted papers will also be part of the ICCV 2023 workshop proceedings.
* Authors may optionally upload supplementary materials, the deadline for which is the same as that of the main paper and should be submitted separately.
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INSTRUCTIONS FOR PARTICIPATING IN THE SMART-101 CHALLENGE TRACK
As part of VLAR 2023, we are hosting a challenge based on the Simple Multimodal Algorithmic Reasoning Task – SMART-101 – dataset, which is available for download here: https://smartdataset.github.io/smart101/. The accompanying CVPR 2023 paper “Are Deep Neural Networks SMARTer than Second Graders” is available here: https://arxiv.org/abs/2212.09993.
* The challenge is hosted on Eval AI and is open to submissions, see https://eval.ai/web/challenges/challenge-page/2088/overview
* The challenge participants are required to make arXiv submissions detailing their approach. These are only used to judge the competition, and will not be reviewed and will not be part of workshop proceedings.
* Winners of the challenge are determined both by performance on the leaderboard over a private test set as well as the novelty of the proposed method (as detailed in the arXiv submission). Details are made available on the challenge website.
* Prizes will be awarded on the day of the workshop.
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KEYNOTE SPEAKERS
KEYNOTE SPEAKERS
Prof. Anima Anandkumar, NVIDIA & Caltech
Dr. François Chollet, Google
Prof. Jitendra Malik, Meta & UC Berkeley
Prof. Elizabeth Spelke, Harvard University
Prof. Jiajun Wu, Stanford University
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WORKSHOP ORGANIZERS
WORKSHOP ORGANIZERS
Anoop Cherian, Mitsubishi Electric Research Laboratories
Kuan-Chuan Peng, Mitsubishi Electric Research Laboratories
Suhas Lohit, Mitsubishi Electric Research Laboratories
Kevin A. Smith, Massachusetts Institute of Technology
Ram Ramrakhya, Georgia Institute of Technology
Honglu Zhou, NEC Laboratories America, Inc.
Tim K. Marks, Mitsubishi Electric Research Laboratories
Joanna Matthiesen, Math Kangaroo USA
Joshua B. Tenenbaum, Massachusetts Institute of Technology
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CONTACT
SMART-101 project: https://smartdataset.github.io/smart101/
Workshop Website: https://wvlar.github.io/iccv23
Prepare your papers for SOFSEM 2024
July 25th, 2023 Daniela Lopez de Luise 49th International Conference on Current Trends in Theory and Practice of Computer Science SOFSEM 2024 in Cochem, Germany: February 19-23, 2024.
Homepage: https://www.uni-trier.de/index.php?id=90670&L=2
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SOFSEM has a special focus on Foundations of Computer Science and AI, in particular algorithms, AI-based methods, computational complexity, and formal models. For more information about SOFSEM, we refer to http://www.sofsem.cz/.
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Important Dates
· August 28th, 2023: abstract deadline (firm)
· September 1st, 2023: full paper deadline (firm)
· mid-November, 2023: author notification
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News
- All invited Speakers announced the prospective titles of their talks.
- SOFSEM 24 proceedings will be published in the ARCoSS subline of LNCS.
- There will be a Best Paper and a Best Student Paper Award sponsored by Springer.
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Invited Speakers
· Edith Elkind, Univ. Oxford, UK: Fairness in Multiwinner Voting
· Sevag Gharibian, Univ. Paderborn, Germany: Quantum algorithms and complexity theory: Does theory meet practice?
· Rob van Glabbeek, Univ. Edinburgh, UK & Stanford Univ., USA & UNSW, AUS: Modeling Time Qualitatively in Process Algebra and Concurrency Theory
· Markus L Schmid, HU Berlin, Germany: The Information Extraction Framework of Document Spanners – An Overview of Concepts, Results, and Recent Developments
· Sandra Zilles, Univ. Regina, Canada: Machine Teaching – A Combinatorial Approach to Machine Learning from Small Amounts of Data
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Program Chairs
· Henning Fernau, Univ. Trier, Germany
· Serge Gaspers, UNSW Sydney, Australia
· Ralf Klasing, CNRS, Univ. Bordeaux, France
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List of topics:
- algorithmic game theory
- algorithmic learning theory
- approximation algorithms
- automata theory
- coding theory
- combinatorics, including polyhedral combinatorics
- complexity theory
- computational biology
- computational geometry
- computational models and computability
- computational statistics
- data compression: algorithms and theory
- database theory
- discrete structures
- distributed algorithms
- formal languages
- formal methods
- foundations of artificial intelligence
- foundations of machine learning
- games: algorithmic and complexity aspects
- grammatical inference
- graph algorithms, including applications like graph drawing
- graph theory
- information retrieval
- information theory
- kernelization algorithms
- logic in computer science
- network science
- neural networks theory
- online algorithms
- quantum algorithms and computing
- parallel computing
- parameterized algorithms
- probabilistic methods
- randomized algorithms
- reconfiguration and reoptimization
- self-organizing systems
- string algorithms
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