Mediterranean Machine Learning Summer School 2027
August 30th - September 3rd
Barcelona, Spain
Mediterranean Machine Learning Summer School 2027
August 30th - September 3rd
Barcelona, Spain
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August 30th - September 3rd
Barcelona, Spain
The Mediterranean Machine Learning (M2L) Summer School offers a focused 5-day program of keynotes, lectures, and practical sessions led by experienced AI experts from around the world. Participants will engage with state-of-the-art content and code, and are encouraged to optionally present their work during poster sessions. This is a unique opportunity to showcase research and receive early feedback from peers and experts. Networking is also facilitated through social or cultural activities, as well as informal interactions with speakers, sponsors, and fellow attendees during coffee breaks.
See Past editions for an example of typical school programs.
Location and dates:
Location and dates:
The 2027 edition of the Mediterranean Machine Learning (M2L) summer school will take place in Barcelona, Spain between August 30th and September 3rd.
Audience:
Audience:
The target audience consists primarily of Doctoral students or exceptional Master students, as well as academics and practitioners from all around the world, with a focus on the Mediterranean area. The school will be advertised with a public call and participants will be selected on the basis of merit. Preferred attendees have a technical background, and some prior understanding and practical experience of machine learning.
We actively encourage and promote diversity through scholarships and targeted outreach.
Topics:
Topics:
Computer vision
Natural Language Processing
Generative and diffusion models
Reinforcement learning
Applied deep learning
Neuroscience
Ethics in machine learning
....and much more!
Founding principles
Founding principles
Promote diversity and inclusion: AI is revolutionizing several fields, from computer vision to autonomous driving and robotics. Its potential to radically change our society calls for this technology to be mastered and shaped by everyone, with equal representation of genders, ethnicities, nationalities, religions and economic backgrounds.
Boost networking and knowledge transfer: M2L brings together early-stage researchers, practitioners and world-leading experts, providing access to high quality education, and strengthening the local and foreign machine learning ecosystem by fostering durable connections among researchers, as well as among practitioners and industry.
Support dialogue and collaboration: the school aims to promote an informed dialogue among companies, academia and institutions, encouraging them to take an active role in shaping, regulating and supporting the evolution of the artificial intelligence field, as well as to facilitate the exchange of ideas and the establishment of partnerships.
Testimonials
Images by Nathan Dumlao, Riccardo Annandale and Thomas Drouault (unsplash), Geralt (pixabay), Aivita Arika (Dreamstime), Ballota (Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=145389683), banner photo by mana5280 (unsplash)
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