ECT: Emerging Computing Technologies: AI Foundational Models, Quantum Computing, Photonics-based Computing

Motivation

New technologies are commonly introduced in the software industry. From new computing paradigms such as quantum computing, neuromorphic computing, AI, Cloud photonics, but also new programming languages or technologies to support these paradigms. Moreover, the convergence among these technologies is also opening exciting opportunities. For instance, quantum computing is used to enhance classical AI techniques, resulting in a Quantum AI research area consisting of quantum machine learning and quantum search and optimization. Moreover, AI foundation models (e.g., large language models) are being used in many areas including quantum software development. Similarly, there has been a resurgence of analog computing models and architectures that can more accurately support neuromorphic computing, key is some application domains.

ECT aims to bring together researchers addressing new technological issues from different communities to promote discussions and collaborations. The goal is to help disseminate novel computing practices and solutions as well as identify future challenges and dimensions. To this end, the ECT track will foster a more interactive participation model, in which authors, invited speakers and attendees will be encouraged to socially engage beyond the planned workshop activities.

ECT is looking for full research papers, short papers, industrial reports on the preliminary applications of these technologies, and tool demo papers.

Topics

Examples of Emerging Computing Technologies topics include, but are not limited to:

  • Cloud-Based Systems and DevOps
    • Fog and Edge Computing
    • Microservices, Serverless, Nano Services, Unikernels, …
  • AI on the Cloud Continuum
    • AI@Edge, AI Orchestration
    • AI (good/bad) practices
  • Blockchain Technologies and its Uses
  • Quantum computing & AI
    • hybrid applications (quantum and classical computing)
    • Quantum software engineering including but not limited to requirements engineering, modeling, development, testing, and debugging
    • Quantum circuit optimization and compilation
    • noise learning and mitigation at the application levels
  • Neuromorphic Computing
    • New or existing materials and base elements
    • Computational models
    • Emerging Architectures
    • Applications domains and Use-cases
  • Photonics-based Computing
    • Integration of Photonics with Si-based subtractes
    • Computational Models

Track/Session Organizers

  • Pedro Diniz, pedrodiniz@fe.up.pt, University of Porto, Portugal
  • Valentina Lenarduzzi, valentina.lenarduzzi@oulu.fi, University of Oulu, Finland

Program Committee

  • Steffen Becker, University of Stuttgart
  • Matteo Esposito, University of Oulu
  • Petr Hnetynka, Charles University in Prague
  • Bruno Lima, University of Porto
  • Alexandra Mendes, University of Porto
  • Claus Pahl, Free University of Bozen-Bolzano
  • Jianjun Zhao, Kyushu University