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March 25 and 26, 2024

The tracks topics include healthcare and life sciences, sustainability, ethics and governance, finance and business applications, technology and engineering as well as research and education. Detailed information for each track can be found on the event schedule here.

Some of the below tracks accept posters within their track - the call for posters is now closed.

We also publish links to call for talks or pitches below, that some track organizers have opened or will open. The deadlines and process for these calls are entirely managed by the respective track organizers.

  • Accelerating Climate Change Action through Machine Learning
  • Accelerating the Adoption of AI by SMEs
  • Advances of ML Approaches for Financial Decision Making & Time Series Analysis - LLMs & MLops
  • AI and Connectivity
  • AI and Healthcare Insights
  • AI and Physics
  • AI and Retail
  • AI and Space - Algorithms for Socio-economic Benefits
  • AI and the Molecular World - Call for Talks
  • AI and Decarbonisation
  • AI and Market Power
  • AI and Search Systems
  • AI and Sleep from Everyday Applications to Sleep Disorders: Can AI Lead to a Better Sleep ?
  • AI for Drug Discovery
  • AI for Energy Utilities
  • AI for Food and Nutrition - Call for Pitches
  • AI and Public Health: interface where AI meets Public Health
  • AI in Public Health: Applications and Challenges
  • AI for Sustainability - Solutions or issues ?
  • AI from the Sky: Earth Observation for Risk Management - Call for Talks
  • AI in Aviation
  • AI in Genomics
  • AI in the Boardroom: Bridging Gaps for Real Impact
  • AI Literacy, Skills and Readiness
  • AI safety: the Quest to Making AI Human-centric, Trustworthy and Safe
  • AI to Enable the Energy Transition
  • AI-Powered Projects: Your Innovation Journey
  • Applied Explainable AI
  • Bridging the Gap: Solving Real World Problems with Open Research
  • Clinical AI: from Research and Development to the Bedside.
  • Education 2.0: How AI is Changing the Game
  • Environmentally Sustainable AI
  • Fairness and Bias in AI Applications for the Labor Market
  • From Strategy to Execution: How Leading Firms in Different Industries Apply their AI Programs
  • Generative AI and Telco
  • Machine Learning for Rare Disease Applications: from Limited Data to In Silico Trials
  • Multimodal Foundation Models in Oncology: Transforming Research and Clinical Applications
  • Natural Language Processing for GLAM (Galleries, Libraries, Archives and Museum) collections
  • Navigating the Crossroads of the Digital Age: Cyber-Risk and the Modern Data Economy
  • Open-Source AI Models: Instrumental to the Rapid Advancement of AI
  • Operationalize AI Governance
  • Overcoming Data Scarcity
  • Scientific Machine Learning for Science and Engineering