Machine learning is moving fast, and the best way to keep up is to be in the room where new ideas are shared. Conferences are shaping up to be more than just academic meetups. They’re where research meets practice, where engineers trade notes with data scientists, and where businesses look for the next edge.
If you’re planning your calendar, it’s worth knowing which events will bring real value. Some lean heavily on theory, others focus on applied tools, and a few manage to balance both. In this guide, we’ll walk through the most notable machine learning conferences, so you can decide which ones are worth the trip.
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1. IEEE SaTML
The IEEE Conference on Secure and Trustworthy Machine Learning will be held in Munich in March 2026. SaTML focuses on the safety and security aspects of ML systems. Topics include attacks, defenses, privacy, fairness, and verification. The conference aims to build a research community around robust and reliable machine learning. In the broader context of machine learning conferences in 2025, SaTML prepares the ground for future directions in trustworthy AI.
Key Highlights:
Dedicated to secure and trustworthy ML
Covers attacks, defenses, and privacy issues
Includes competitions and community discussions
Organized under the IEEE Computer Society
Who It’s Best For:
Researchers studying ML security
Engineers working on robust systems
Students interested in safe AI
Organizations concerned with ML reliability
Contact Information:
Website: satml.org
E-mail: contact@satml.org
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2. MVML
The International Conference on Machine Vision and Machine Learning will hold its 12th edition in London in August 2026. MVML covers topics such as vision, recognition, neurocomputing, and pattern analysis. The event is part of the EECSS congress and accepts papers for proceedings indexed in major databases. MVML 2026 will run both in-person and virtually, making it accessible to a wider audience. The conference continues the tradition of global machine learning conferences while focusing on vision-related applications.
Key Highlights:
Focus on machine vision and ML research
Proceedings indexed in academic databases
Hybrid format with in-person and online options
Part of the EECSS congress
Who It’s Best For:
Scholars in machine vision and ML
Students seeking conference publications
Engineers building recognition systems
Organizations following applied ML trends
Contact Information:
Website: mvml.org
Address: Unit No. 104, 2442 St. Joseph Blvd., Orléans, Ontario, Canada K1C 1G1
The International Conference on Machine Learning Technologies will take place in Berlin in May 2026. ICMLT brings together scientists, engineers, and industry professionals to discuss new work in ML technologies. The event focuses on challenges and solutions in areas such as signal processing, speech, biomedicine, and social networks. Papers accepted at the conference are included in indexed proceedings. ICMLT 2026 adds to the global list of machine learning conferences in 2025 and beyond, offering space for both theoretical and applied research.
Key Highlights:
Dedicated to ML technologies and applications
Covers signal processing, speech, and data analysis
Includes peer-reviewed conference proceedings
Supported by academic and research institutions
Who It’s Best For:
Researchers in ML technologies
Students working on applied ML problems
Engineers developing data-driven systems
Organizations interested in ML collaboration
Contact Information:
Website: icmlt.org
E-mail: icmlt_conf@163.com
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4. ESANN
The European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning will take place in Bruges in April 2026. ESANN has been running for decades and offers a single-track format that covers neural networks, computational intelligence, and machine learning methods. The conference is hybrid, allowing both in-person and online participation. As one of the continuing events in the field, ESANN adds to the series of machine learning conferences around 2025 and 2026.
Key Highlights:
Long-running symposium on neural networks and ML
Hybrid format with Bruges as main venue
Single-track program with focused sessions
Supported by academic institutions and sponsors
Who It’s Best For:
Researchers in neural networks and ML
Academics presenting computational intelligence work
Students seeking to attend a focused program
Organizations engaged in European ML research
Contact Information:
Website: www.esann.org
Address: 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium
E-mail: esann@uclouvain.be
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5. AIM Conference (USG)
The International Conference on Artificial Intelligence and Machine Learning (AIM) will be held in San Francisco in April 2026. The event is organized by United Scientific Group and is part of the broader series of machine learning conferences leading into 2025 and beyond. The conference program spans keynotes, panel discussions, poster sessions, and workshops. It covers subjects such as robotics, neural networks, generative AI, and explainable AI. AIM provides a platform where academics, researchers, and professionals from different industries share work and connect.
Key Highlights:
Covers artificial intelligence, machine learning, and robotics
Includes keynotes, panels, and poster sessions
Organized in San Francisco with global participation
Mindspace Conferences is a global organizer of professional events across multiple fields, including technology, healthcare, and engineering. Machine learning conferences are part of their program, with sessions focusing on AI, deep learning, robotics, and automation. The events bring together researchers, industry representatives, and academics to share work and build connections. The format often includes workshops, presentations, and networking activities. Mindspace’s conferences in 2025 and 2026 are scheduled across locations in Europe and Asia, with a focus on both academic and applied research.
Key Highlights:
Hosts conferences in science, engineering, and healthcare
Includes AI and ML topics in annual schedules
Combines academic and industry participation
Offers global reach with events in multiple countries
Who It’s Best For:
Academics presenting technical work
Industry professionals interested in applied AI
Students building networks in global events
Organizations exploring conference partnerships
Contact Information:
Website: mindspaceconferences.com
Address: Fitzroy Street, Fitzrovia, London, W1T 6EB, UK
Phone: +44-2032898986
E-mail: contact@mindspaceconferences.com
Twitter: x.com/MindSpaceConf
Facebook: www.facebook.com/MindspaceConferences
Instagram: www.instagram.com/mindspaceconferences
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7. NeurIPS
The Conference on Neural Information Processing Systems (NeurIPS) will take place in December 2025. It is one of the largest gatherings for machine learning research and brings together experts from different backgrounds. NeurIPS covers topics ranging from theoretical advances in deep learning to applied work in areas like reinforcement learning, generative models, and natural language processing. The program also includes workshops and tutorials that allow participants to go deeper into specific fields.
Key Highlights:
Broad focus on AI and machine learning
Mix of academic and applied research
Includes tutorials, workshops, and poster sessions
Global audience from research and industry
Who It’s Best For:
Researchers presenting new ML work
Students wanting exposure to leading studies
Engineers looking for applied insights
Organizations following global ML trends
Contact Information:
Website: neurips.cc
Twitter: x.com/neuripsconf
Conclusion
Wrapping up, 2025 looks like a packed year for anyone interested in machine learning. The conferences on the calendar aren’t just about sitting through research talks − they’re chances to see where the field is heading, meet people working on similar problems, and maybe even find new directions for your own work. Some events are heavy on theory, others lean toward applications, and a few manage to strike a balance.
If you’re thinking about which ones to attend, it really comes down to what you want to get out of the experience. Do you want to dive deep into technical discussions, or are you more interested in hearing how ML is being used in different industries? Either way, there’s something happening in 2025 that will fit. The main thing is to actually show up, take part in the conversations, and carry those insights back into your projects.
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