CfP: 1st call for Workshops and Tutorials @ Fifth Conference on Language, Data and Knowledge (LDK2025)

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Dates: 9 and 12 September 2025 (Workshop/Tutorials days), 10–11 September 2025 (Main Conference)
Location: Naples, Italy
Submission Deadline: 15 December 2024 
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We are inviting proposals for workshops and tutorials to be held on September 9 and 12, 2025 in conjunction with the fifth conference on Language, Data and Knowledge (LDK 2025) in Naples, Italy. Building upon the success of the previous events held in Galway, Ireland in 2017, in Leipzig, Germany in 2019, in Zaragoza, Spain in 2021 and in Vienna, Austria in 2023, this conference will bring together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. 

Proposal submission

We welcome workshop and tutorial proposals that are of relevance to the topics listed below. Submissions should be consistent with the main conference formatting guidelines and be 3–5 pages in length, plus unlimited pages for appendices. For more information regarding the requested information, the assessment process and criteria and the Workshop/Tutorial organisers’ responsibilities, please refer to: https://2025.ldk-conf.org/call-for-workshops-and-tutorials/ 

Topics:

  1. Fundamental technical and theoretical problems of language data / linked data and knowledge graphs.
  2. Applications of language data and semantic web technologies in domains such as law, medicine, life science, digital humanities, mobility, smart cities, etc.
  3. Research areas that have been largely neglected or underrepresented in language data and semantic web studies.
  4. Other research areas relevant to language data and semantic web research (such as data science, artificial intelligence, big data analytics, human-computer interaction, natural language processing, and information retrieval).
  5. New emerging topics.

Language: All submissions must be written in English.

Proposals should be submitted via EasyChair at: https://easychair.org/conferences/?conf=ldk2025workshops

Important Dates:
  • Paper submission deadline: 15th December, 2024
  • Acceptance/Rejection Notification: 12th January, 2025
  • Workshop and tutorial days: 9 and 12 September 2025
  • Main conference: 10-11 September, 2025

 All deadlines are 23:59 AoE (anywhere on Earth)

Best,
Katerina Gkirtzou and Slavko Žitnik 
Workshop and Tutorial Chairs for LDK2025

IxMM 2025: IEEE International Conference on AI x Multimedia

AIxMM 2025: IEEE International Conference on AI x Multimedia
Hills Hotel, Laguna Hills, CA
Laguna Hills, CA, United States, February 3-5, 2025
Conference website      http://www.AIxMM.org
Deadline (extended): November 16, 2024 11:59pm, PT. 
Topics: multimedia | generative ai | big data | artificial intelligence
ABOUT AIxMM
Multimedia (MM) includes but is not limited to text, image, graphics, audio, video, social, and sensor data that is highly valuable in decision making. It covers from everyone’s experiences to everything happening in the world. On the other hand, Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems. The huge potential of applying AI for problem-solving represents an exciting future in business objectives that can be achieved much more effectively. In addition, business-business, business-customer, and customer-customer may be interconnected in a revolutionary way to stimulate a tremendous amount of interesting activities.
With the recent advances of AI, including ChatGPT, we think it is the right time to address the broader impacts of AI on MM and vice versa.Artificial Intelligence x Multimedia (AIxMM) is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice, as well as to identify the emerging topics and define the synergy between the research in AI and MM in general.
TOPICS OF INTEREST include all aspects of MM whose solutions may be assisted by AI, such as:
    Content Understanding, Modeling, Management, and Retrieval
    Multimedia Security and Forensics
    Mobile Media
    Media Coding, Processing, and Quality Measurement
    Multimedia Interfaces
    Communications and Streaming
    Systems and Architectures
    Services
AI Technologies that may be advanced by MM applications, such as:
    Generative AI
    Transformer based technology 
    Agent technology
    Semantic computing
    Decision making
    Machine learning
    Symbolic AI including Knowledge and data engineering, planning
    Problem solving
The focus of the conference series has been established with the belief that it is important to have a full, top-tier conference that focuses specifically on the combination of multimedia and AI research. While research about specific aspects of AI and MM systems is regularly published in the various proceedings and transactions of the AI and MM communities, AIxMM aims to cut across the boundary and to provide an avenue for communicating research that addresses both multimedia and AI holistically. The mission of the conference is to share research results and solutions and to identify new issues and directions for future research and development.

CFP – DEADLINE EXTENDED (18 Nov 2024): 7th AccML Workshop at HiPEAC 2025

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7th Workshop on Accelerated Machine Learning (AccML)

Co-located with the HiPEAC 2025 Conference
(https://www.hipeac.net/2025/barcelona/)

January 21, 2025
Barcelona, Spain
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Live free ‘AIDA/HiTZ AI Excellence e-Lecture’ by Dr. Elena Sokolova (Amazon Text-to-Speech Group): “How we do research in Speech at Amazon”, November 7, 2024 – 15:00 CET

Dear AI scientist/engineer/student/enthusiast,

 

 Dr. Elena Sokolova (Amazon Text-to-Speech Group) will deliver the e – lecture: “How we do research in Speech at Amazon” on 7th November 2024, 15:00 CET.

 

In this talk we will present how Speech technology has developed in the past 20 years. We will take a dive deep into the research that we do at Amazon in our Text-to-Speech lab, describe the challenges that we face and how we solve them at scale. We will also give an overview of the internship opportunities we have in our department for those of you who want to join our team in 2025.

  • For more details, click here
  • Registration [here].

 

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, is very pleased to offer you top quality scientific lectures 

in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by:

  • Top highly cited senior AI scientists internationally or
  • Young AI scientists with promise of excellence (AI sprint lectures)

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

 

Upcoming AI Excellence Lectures:

  • Dr. Hannes Fassold, Joanneum Research, “Manifold / geometric deep learning and its application for multimedia”, 12/11/24 – 17:00 CET
  • Prof. Dr. Gerard Pons-Moll, “How to train large scale 3D human foundation models”, 19/11/24 – 17:00 CET
  • Associate Prof. Gül Varol, “Text-driven 3D human motion synthesis”, 26/11/24 – 17:00 CET
  • Prof. Sean Gong, “LLMs for More Reliable Small Data Learning”, 3/12/24 – 17:00 CET

 

Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, J. Stefanowski
AIDA AI Excellence Lecture Series committee members


Live free ‘AIDA AI Excellence e-Lecture’ by Dr. Hannes Fassold (Joanneum Research) : “Geometric deep learning and its application for multimedia”, November 12, 2024 – 17:00 CET

Dear AI scientist/engineer/student/enthusiast,

 

 Dr. Hannes Fassold (Joanneum Research) will deliver the e – lecture: “Geometric deep learning and its application for multimedia” on 12th November 2024, 17:00 CET.

 

This lecture will provide a short overview of geometric deep learning & manifold learning, a subfield of machine learning that addresses challenges in analyzing non-Euclidean data such as manifolds or graphs.

  • For more details, click here
  • Join us via Zoom & passcode: 114050

 

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, is very pleased to offer you top quality scientific lectures 

in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by:

  • Top highly cited senior AI scientists internationally or
  • Young AI scientists with promise of excellence (AI sprint lectures)

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

 

Upcoming AI Excellence Lectures:

  • Prof. Dr. Gerard Pons-Moll, “How to train large scale 3D human foundation models”, 19/11/24 – 17:00 CET
  • Associate Prof. Gül Varol, “Text-driven 3D human motion synthesis”, 26/11/24 – 17:00 CET
  • Prof. Sean Gong, “LLMs for More Reliable Small Data Learning”, 3/12/24 – 17:00 CET
  • Prof. Dr. Juergen Gall, “From Forecasting Human Behavior to Forecasting Extreme Weather and Climate Events”, 17/12/24, 17:00 CET

 

Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, J. Stefanowski
AIDA AI Excellence Lecture Series committee members

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