News Unmasked ML Competition at FGVC@CVPR’23

May 9th, 2023 Daniela Lopez de Luise
We would like to invite you to participate in News-Unmasked 2023,  an ML competition as part of FGVC workshop @CVPR2023. With this competition we aim to understand the biases of current large models if they are applied to real-world applications like news media.
Large language model(LLMs) have been successfully used in natural language processing tasks, such as text classification and language generation and are increasingly being used in real world applications. One such field is news and media where these models can potentially be used in future. LLM based models for text generation can be used to generate headline, which – though factually correct – might not be best suited for the chosen image in a publication. Since headlines and images often work together to communicate an emotion to a reader, the competition aims to understand how the images are related with the semantic characteristics of the text (headline)

The competition is being hosted and run at Hugging face and a summary of the results will be presented at the FGVC workshop at CVPR 2023 in Vancouver.

Please find more details of the competition here: https://huggingface.co/spaces/competitions/news-unmasked. We look forward to your participation.

Best regards,
News-Unmasked competition organizers

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invitation to Participate in the ATLAS Challenge at MICCAI 2023 – A Novel Liver Tumor Segmentation Challenge on MRI T1 Images

May 9th, 2023 Daniela Lopez de Luise
Dear colleagues,
I hope this email finds you well. I am excited to inform you about an upcoming challenge that we believe will be of great interest for the machine learning community : the A Tumor and Liver Automatic Segmentation Challenge (ATLAS) organized at MICCAI 2023. We would like to invite you to participate in this challenge and kindly request you to share the information with other researchers who may be interested.
The ATLAS Challenge focuses on liver and liver tumor segmentation on MRI T1 images. This is the first-ever challenge of its kind, utilizing this modality for liver tumor segmentation. The goal of this challenge is to foster innovation and collaboration in the field of medical image analysis by encouraging researchers to develop and evaluate novel segmentation algorithms on high-quality, clinically relevant data.
Key features of the ATLAS Challenge include:
  1. Novel Modality: This is the first challenge to focus on liver tumor segmentation using MRI T1 images, providing a unique opportunity for researchers to contribute to the development of new techniques in this area
  2. High-Quality Ground Truth: The challenge dataset contains high-quality ground truth annotations, which have been carefully prepared by radiologists and are already in clinical use. This ensures that the results obtained from the challenge will be directly applicable to real-world clinical settings.
  3. Collaboration and Networking: The ATLAS Challenge at MICCAI 2023 offers an excellent platform for researchers to collaborate, exchange ideas, and network with their peers in the field of medical image analysis.
To learn more about the ATLAS Challenge and to register for participation, please visit the official website at https://atlas-challenge.u-bourgogne.fr/.
We hope that you will consider participating in this exciting challenge and help us spread the word among your colleagues and fellow researchers. Your expertise and enthusiasm are crucial in making the ATLAS Challenge a success and driving forward the field of medical image analysis.
If you have any questions or require further information, please do not hesitate to reach out to us.
Looking forward to your participation in the ATLAS Challenge at MICCAI 2023.
Best regards,
Félix Quinton

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Conferences

May 9th, 2023 Daniela Lopez de Luise
Innovations in Intelligent Systems and Applications Conference (ASYU), which has been held since 2004, will be held at the 4 Eylül Cultural Center in Sivas by Sivas Cumhuriyet University on 11-13 October 2023 with the support of Yıldız Technical University.
The languages of the conference are English and Turkish. All papers sent to the conference will be evaluated by at least three referees with a blind evaluation system. The official sponsors of the conference are IEEE Turkey Department and IEEE SMC, and all accepted papers will be published in the IEEE Xplore digital library.
The ASYU 2023 conference will feature world-class invited speakers and plenary sessions on intelligent systems and their applications. The conference priority topics include the following sub-areas and practices, but are not limited to the listed topics:
Data Mining 
Decision Support Systems
Robotics and Automation 
Swarms of Particles
Augmented/Virtual Reality 
Artificial Neural Networks
Query Suggestion Systems 
Pattern Recognition
Artificial Intelligence 
Technology and Law
Deep Learning 
Biomedical Engineering
Machine Learning
 Medical Informatics
Pattern Recognition
Hardware Applications
Evolutionary Computing 
Knowledge Based Systems
Expert Systems 
Speech Recognition
Smart Life 
Biometric Systems
Bioinformatics 
Intelligent Electronic Systems
Natural Language Processing 
Human Computer Interaction
Genetic Algorithm 
Video/Image Processing
Memetic Computing
 Intelligent Optimization Algorithms
Neuroscience 
Fuzzy Logic
Environmental Intelligence 
Hybrid Intelligent Systems
You can request your special session suggestions through the e-mail address asyu2023@cumhuriyet.edu.tr until April 23, 2023. Accepted special sessions will be published on the website. We look forward to your submissions for ASYU 2023. We wish you healthy and happy days. Best regards, ASYU 2023 Organizing Committee
For conference call text and other details, please visit our page (http://asyu.inista.org/)

You can send the final version of your papers to MS CMT.

Important Dates

Full Paper Submission: June 5, 2023
Announcement of Results: 31 July 2023
Deadline for Early Registration: 16 August 2023
Submission of Print-Ready Papers: 16 August 2023
Conference Date: 11 – 13 October 2023

E-mail: asyu2023@cumhuriyet.edu.tr

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LOD 2023 1st CfP: The 9th Int. Conf. on Machine Learning, Optimization & Data Science, September 22-26, Lake District England – Paper Submission Deadline: May 10

May 9th, 2023 Daniela Lopez de Luise
The 9th International Conference on Machine Learning, Optimization, and Data Science – LOD 2023 – September 22-26, Lake District, UK

LOD 2023, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders

Satellite Events:
International Meeting on Foundation Models
Workshop AI for Medicine
25 Tracks

lod2023.icas.cc

lod@icas.cc

PAPERS SUBMISSION:
All papers must be submitted using EasyChair:
easychair.org/conferences/?conf=lod2023

Paper Submission deadline: May 10 (Anywhere on Earth)

CALL FOR PAPERS: lod2023.icas.cc/call-for-papers/

Please prepare your paper using the Springer Nature – Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF.

TYPES OF SUBMISSIONS:
When submitting a paper to LOD 2023, authors are required to select one of the following three types of papers:

* long paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format);

* short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format);

* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference;

LOD 2023 KEYNOTE SPEAKERS:
Anthony G. Cohn, University of Leeds, UK & The Alan Turing Institute, UK
“Evaluating the Commonsense Reasoning abilities of Foundation Models”

Sven Giesselbach, Fraunhofer Institute – IAIS, Germany
“Foundation Models”
“GPT”
“OpenGPT-X and Application and Practical Training of Large Scale Language Models”

LOD / ACAIN 2023 KEYNOTE SPEAKERS:
acain2023.icas.cc/course-lecturers/

Aldo Faisal, Imperial College London
Karl Friston, University College London                           
Kenneth Harris, University College London                              
Rosalyn Moran, King's College London
Edmund Rolls, University of Oxford   
Michael Wooldridge, University of Oxford

More Keynote Speakers TBA

PAST LOD & ACAIN KEYNOTE SPEAKERS:
lod2023.icas.cc/past-keynote-speakers/
acain2023.icas.cc/past-lecturers/

25 TRACKS: lod2023.icas.cc/tracks/

BEST PAPER AWARD:
Springer sponsors the LOD 2023 Best Paper Award with a cash prize of 1,000 Euro.
lod2023.icas.cc/best-paper-award/

PROGRAM COMMITTEE:
150+ confirmed PC members!
lod2023.icas.cc/program-committee/

VENUE:
lod2023.icas.cc/venue/
“ESCAPE THE HURRYING WORLD – The loveliest spot that man hath ever found…”
Escape to the Lake District, England – a UNESCO World Heritage site – and you’ll find it’s easy to share William Wordsworth’s delight in the area.

The Wordsworth Hotel & Spa (****)
Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK
Phone: +44-1539-435592
Email: enquiry@thewordsworthhotel.co.uk
Web: www.thewordsworthhotel.co.uk

ACCOMMODATION: lod2023.icas.cc/accommodation/

ACTIVITIES: lod2023.icas.cc/activities/

WALKS in the Lake District National Park: lod2023.icas.cc/walks/

Submit your research work today!
easychair.org/conferences/?conf=lod2023

See you in the beautiful Lake District – England in September!

Best regards, 
  LOD 2023 Organizing Committee.

Past Editions
lod2023.icas.cc/past-editions/

www.facebook.com/groups/2236577489686309/

https://twitter.com/TaoSciences

www.linkedin.com/groups/12092025/

* Apologies for multiple copies. Please forward to anybody who might be interested *

lod@icas.cc
lod2023.icas.cc

LOD2023 Poster:
lod2023.icas.cc/wp-content/uploads/sites/23/2023/01/LOD-2023-poster.png

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Second International Workshop on Computational Machine Ethics (CME 2023)

May 9th, 2023 Daniela Lopez de Luise
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Held in conjunction with KR 2023
Half day, 2-4 Sep 2023 (TBD) 




Call for Papers

Overview

The 2nd Computational Machine Ethics (CME) Workshop will be held in conjunction with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023). It will provide a forum for discussing recent research on methodological development in machine ethics and its impact on human societies. With the successful development of cognitive machines in a diverse range of application scenarios, there is an urgent need to enable these machines to behave morally following the behavioural norms and ethical principles established in human societies. Machine ethics is thus a subfield of AI ethics concerned with implementing moral and ethical behaviours in cognitive machines, i.e., to develop computational approaches to ensure ethical consideration in AI applications. In this way, cognitive machines will be adequately equipped with the moral and ethical competence to prevent physical, emotional or psychological harm and to maximise the benefits they can provide to society. In recent years various approaches have been developed, which can generally be categorised into logic-based formulations, learning-based methods and hybrid models. Nevertheless, compared to the extensive discussion in the press regarding the dangers of AI and rapid development of frameworks for regulating the ethical use of AI, machine ethics remains a relatively less explored field. In particular, how to represent ethical principles and reason about the best course of action for real-life scenarios in a generalisable way largely remains an open question. 
Continuing from the 1st CME Workshop that was held in conjunction with KR 2021, the 2nd CME workshop aims to provide a forum for researchers from academia and industry to exchange ideas and techniques in the area of machine ethics, to generate new ideas in the intersection of knowledge representation and reasoning and machine/deep learning, to promote widespread awareness of machine ethics in the AI community as well as identifying new research directions in the area. Besides regular research papers, we also welcome vision papers, demonstration papers and papers showcasing industry applications.

Topics of interest include but are not limited to:

  • Computational modelling of morality and ethics
  • Explicit and implicit ethical agents
  • Logic-based approaches to machine ethics
  • Knowledge representation of ethical principles
  • Machine learning-based approaches to machine ethics
  • Natural language processing for descriptive ethics
  • Integration of symbolic and sub-symbolic models
  • Commonsense reasoning and its application to machine ethics
  • Explainability of ethical reasoning
  • Formal verification of machine ethics
  • Development of machine ethics in cognitive robot programs
  • Robot learning for ethical reasoning
Organising Committee

  • Maurice Pagnucco, UNSW, Australia
  • Yang Song, UNSW, Australia
  • Louise Dennis, University of Manchester, UK

Program Committee

  • Michael Anderson, University of Hartford, USA
  • Jean-Gabriel Ganascia, Sorbonne University, France
  • Randy Goebel, University of Alberta, Canada
  • Gerhard Lakemeyer, RWTH Aachen, Germany
  • Beishui Liao, Zhejiang University, China
  • Emiliano Lorini, University Paul Sabatier, France
  • Katina Michael, Arizona State University, USA
  • Vivek Nallur, University College Dublin, Ireland
  • Abhaya Nayak, Macquarie University, Australia
  • Ken Satoh, National Institute of Informatics, Japan
  • Leon van der Torre, University of Luxembourg, Luxembourg

Important Dates

Paper submission: 31 May 2023

Paper notification: 4 July 2023

Workshop date and time: 2-4 Sep 2023 (TBD)

Submissions

We welcome and encourage the submission of original, previously unpublished research and also have a recently published research track, similarly to the main conference of KR 2023. Submissions should be 3-6 pages (including figures, references, etc.) and formatted according to the KR 2023 guidelines. Submission is now open in EasyChair: https://easychair.org/my/conference?conf=kr2023, as a special track under KR 2023. 

__
Professor Maurice Pagnucco
Deputy Dean (Education), UNSW Engineering
Deputy Director, Creative Robotics Laboratory
PLuS Alliance Fellow
Professorial Fellow, UNSW iCinema Centre for Interactive Cinema Research

 

Dean’s Unit, Faculty of Engineering
Level 6, Building K17
UNSW SYDNEY 2052

 

T: 02 9385 5000
M: +61 (0)438 667746
Executive Assistant: Rachel Lewis E: rachel.lewis@unsw.edu.au

 

 

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CRICOS Provider Code 00098G

 

UNSW is located on the unceded territory of the Bedegal (Kensington campus), 
Gadigal (City and Paddington Campuses) and Ngunnawal peoples (UNSW Canberra) 
who are the Traditional Owners of the lands where each campus of UNSW is situated.

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