Machine learning conferences serve as vital platforms for connecting the research community, technology companies, and applied AI professionals. These events provide space to present new findings, showcase tools, and discuss practical challenges in deploying ML systems. Whether you’re looking to learn about recent advances in deep learning or explore use cases in healthcare, finance, or robotics, attending the right conference can offer valuable insights and collaboration opportunities. Below is a list of notable machine learning conferences recognized for their relevance and global participation.
1. AIM-2026
The Third International Conference on Artificial Intelligence and Machine Learning (AIM-2026) will take place from April 27 to 29, 2026 in San Francisco, CA. It will adopt a hybrid format, enabling both in-person and virtual attendance. Organized by United Scientific Group, the event convenes experts from academia and industry to present research across the full spectrum of AI and machine learning, including neural network architectures, generative systems, reinforcement learning, AI for healthcare, and robotics.
The program offers peer-reviewed oral and poster presentations alongside technical workshops and panels designed to facilitate collaboration among researchers, practitioners, and students. Abstract submission is required for participation, and the event is structured to support student engagement, industry-academic partnerships, and networking opportunities within the AI ecosystem.
Key Highlights:
- Covers a broad spectrum of AI and machine learning research
- Brings together academics, industry experts, and leaders in AI development
- Includes workshops, keynote talks, and poster sessions
Target Audience:
- AI researchers and scholars
- Industry professionals applying ML in real-world contexts
- Graduate students and early-career scientists
Contact Information:
- Website: artificialintelligence.unitedscientificgroup.org
- Address:835 Airport Blvd, Burlingame, CA 94010, United States,
- Phone: +1 650-344-5500
- E‑mail: aim@uniscigroup.org
2. International Conference on Machine Learning (ICML)
ICML 2025 is set to take place from July 13 to July 19 at the Vancouver Convention Center. As one of the leading global gatherings in the field, it will showcase peer-reviewed advances in machine learning theory, algorithms, and applications. Attendees range from academic researchers and industry professionals to engineers, entrepreneurs, and graduate students, all engaged in areas such as computer vision, robotics, bioinformatics, speech recognition, generative models, and statistical learning.
The event features a comprehensive format including tutorials, workshops, poster and oral presentations, as well as panels and exhibition opportunities. Important logistical deadlines include the camera-ready manuscript submission, which has been extended to June 9 (Anywhere on Earth). ICML 2025 also offers financial aid and volunteer programs to support participation.
Key Highlights:
- One of the premier global conferences in machine learning
- Features peer-reviewed papers, tutorials, workshops, and an industry expo
- Attracts top researchers and practitioners worldwide
Target Audience:
- Academic researchers and PhD students
- Industry experts and R&D engineers
- Entrepreneurs and ML practitioners
Contact Information:
- Website: icml.cc
- Address: 1269 Law Street, San Diego CA 92109
3. DataConnect Conference
DataConnect Conference 2025 will take place on October 2–3 in Columbus, Ohio, with both in-person and live-stream options. Organized by Women in Analytics, the event features multiple thematic tracks covering data science, machine learning, artificial intelligence, and analytics. The program includes keynotes, panel discussions, technical workshops, and a startup showcase, all designed to address the critical importance of high-quality data in AI development and deployment.
The conference format brings together industry professionals, academic researchers, and entrepreneurs. Sessions include a data visualization competition, recruitment booth area, and “Ask An Expert” drop-in support. With support from sponsors such as AWS and Snowflake, DataConnect provides dedicated networking zones, live-streamed content, and mentorship opportunities tailored for emerging data leaders and experienced analysts alike.
Key Highlights:
- Women-led event focused on data science, analytics, and ML
- Offers multi-track sessions, hands-on workshops, and networking
- Provides post-event access to recorded sessions
Target Audience:
- Data scientists and ML engineers
- Analytics leaders and technical managers
- Early-career professionals in ML and data analytics
Contact Information:
- Website: www.dataconnectconf.com
- LinkedIn: www.linkedin.com/showcase/dataconnect-conference
- Twitter: x.com/dataconnectconf
- Facebook: www.facebook.com/womeninanalyticscommunity
- Instagram: www.instagram.com/wia_community
4. AI4 Conference
The Ai4 Conference 2025 will take place from August 11 to 13 at the MGM Grand in Las Vegas. It is positioned as a cross-industry event that convenes participants from sectors such as finance, healthcare, government, and technology to examine artificial intelligence applications. The event provides tracks and sessions that explore generative AI, AI agents, automation, and data-driven innovation, with content curated for technical and business-focused attendees.
The agenda features keynote presentations, panel discussions, technical tracks, networking events, and themed meetups. Speakers include AI researchers and industry executives from both private and public sectors. Topics covered also include ethical considerations, enterprise deployment challenges, and the evolution of AI frameworks. In addition to its in-person format, the conference supports engagement through a private networking app and post-event video content access.
Key Highlights:
- Features sessions on AI and machine learning applications in business and industry
- Includes workshops, panels, and startup showcases
- Focuses on actionable insights and practical solutions
Target Audience:
- Industry professionals implementing AI
- Startup founders and innovators
- Thought leaders in machine learning
Contact Information:
- Website: ai4.io/vegas
- E‑mail: info@ai4.io
- LinkedIn: www.linkedin.com/company/ai4
- Twitter: x.com/Ai4Conferences
- Facebook: www.facebook.com/Ai4.io
- Instagram: www.instagram.com/ai4conferences
5. Mindspace Conference – Artificial Intelligence and Machine Learning
The International Conference on Artificial Intelligence and Machine Learning of Mindspace is scheduled for August 17, 2026, in Tokyo, Japan. The event focuses on advancements in deep learning and neural network methodologies. Conference activities will include keynote presentations, technical paper sessions, and panel discussions centered on themes such as network architectures, optimization techniques, and real-world AI systems. It aims to attract researchers, engineers, and practitioners working across both industry and academia.
Organized by Mindspace Conferences, the event enables participants to engage in structured networking opportunities. The program also allocates exhibition time for universities, laboratories, and companies to display research initiatives, tools, and publications. Sessions are designed to foster both academic-industry collaboration and global information exchange, reflecting Mindspace’s emphasis on bridging theoretical development with applied innovation.
Key Highlights:
- Hosts regional events on AI and data-driven technologies
- Covers topics including deep learning, NLP, and computer vision
- Offers conference tracks and networking panels
Target Audience:
- Regional ML practitioners and technologists
- Developers, engineers, and data professionals
- Entrepreneurs exploring AI applications
Contact Information:
- Website: mindspaceconferences.com
- Address: Fitzroy Street, Fitzrovia, London, W1t 6EB UK
- Phone: +44-2032898986
- E‑mail: artificialintelligence@mindspaceconferences.co.uk
- LinkedIn: www.linkedin.com/company/mindspace-conferences
- Twitter: x.com/MindSpaceConf
- Facebook: www.facebook.com/MindspaceConferences
- Instagram: www.instagram.com/mindspaceconferences
6. MVML 2025
The 11th International Conference on Machine Vision and Machine Learning (MVML 2025) will be held in Paris, France and online. The hybrid format allows researchers from around the world to participate either in person or virtually. As part of the EECSS 2025 congress, MVML 2025 includes peer‑reviewed paper presentations and will publish proceedings under ISSN and ISBN, with indexing in Scopus, Google Scholar, Semantic Scholar and archival in Portico.
The conference covers topics such as artificial intelligence for machine vision, face and gesture recognition, neurocomputing, pattern recognition, and related fields. Presentation formats include oral sessions and poster boards. MVML 2025 also emphasizes networking by offering reduced virtual registration fees and structured opportunities for engagement among scholars and practitioners in vision and learning disciplines.
Key Highlights:
- Focused on the intersection of computer vision and ML
- Includes technical talks, poster sessions, and panel discussions
- Encourages submission from both academia and industry projects
Target Audience:
- Computer vision researchers and practitioners
- ML engineers working with vision applications
- Academic and industrial collaborators
Contact Information:
- Website: mvml.org
- Address: Unit No. 104, 2442 St. Joseph Blvd., Orléans, Ontario, Canada
- Phone: +1-613-834-9999
- E‑mail: info@mvml.org
- LinkedIn: www.linkedin.com/company/internationalaset
- Twitter: x.com/ASET_INC
- Facebook: www.facebook.com/InternationalASET
- Instagram: www.instagram.com/internationalasetinc
7. ACMLC 2025
The 7th Asia Conference on Machine Learning and Computing (ACMLC 2025) will take place in a hybrid format from July 25 to 27, 2025. Hosted in Hong Kong, the conference aims to facilitate dialogue among researchers, practitioners, and professionals working in machine learning and computing. The program includes oral and poster presentations, and an award for excellent presentations will be determined by session chairs based on content and delivery. Online attendance is available for those who cannot travel.
Accepted papers will be published in the conference proceedings and considered for indexing in Ei Compendex and Scopus. Authors may also submit abstracts for presentation without publication. The conference supports academic contribution through a structured peer review process and invites experienced scholars to join the technical committee.
Key Highlights:
- Discusses practical implementations of ML and computing systems
- Hosts tutorials and hands-on workshops
- Attracts academics and industry technologists
Target Audience:
- Applied AI researchers and developers
- System architects and software engineers
- Professional trainers and instructors
Contact Information:
- Website: acmlc.org
- Phone: +86-186-2405-8113
- E‑mail: acmlc@iacsitp.com
8. SPIE – Machine Learning 2025
The Applications of Machine Learning 2025 conference is scheduled to take place at the San Diego Convention Center, spanning three days from August 4 to August 6. This conference focuses on applied research and technological development in machine learning, showcasing work from a wide range of sectors including healthcare, agriculture, cybersecurity, and environmental science.
Research topics scheduled for presentation include the use of deep neural networks for Alzheimer’s analysis, hybrid methods in solar flare detection, and AI approaches in drug discovery. The conference also covers machine learning applications in agricultural weed detection, flood mapping through deep learning, and predictive systems for driver safety. Poster sessions will allow for direct interaction with authors, facilitating networking and feedback.
Key Highlights:
- Part of SPIE, focusing on ML techniques for photonics, imaging, and sensing
- Technical presentations and special sessions
- Community driven by optical and ML problem solving
Target Audience:
- Researchers in optics and imaging
- Machine learning practitioners in sensor technology
- Engineers developing ML-enhanced photonic systems
Contact Information:
- Website: spie.org
- Phone: +1 360 676 3290
- E‑mail: customerservice@spie.org
- LinkedIn: www.linkedin.com/company/spie
- Facebook: www.facebook.com/SPIE.org
- Instagram: www.instagram.com/spiephotonics
9. MLcon – Machine Learning Technologies & Innovations
MLcon Machine Learning Technologies & Innovations Training and Conference will take place September 29 to October 3 2025 at the New York Marriott at the Brooklyn Bridge. The event offers both in-person and virtual attendance, featuring workshop days and main conference sessions that cover themes such as generative AI and large language models, MLOps, tools and frameworks, advanced machine learning development, business strategy, and foundational principles.
The program includes hands-on workshops like the AI Agent Bootcamp and dedicated ML Strategy Day, as well as keynotes and breakout sessions from experts representing companies like Amazon, Meta, Walmart, and Google. Sessions range from technical deep dives into transformer architectures and MLOps best practices to strategic discussions about building scalable AI systems.
Key Highlights:
- Focuses on machine learning topics including generative AI, MLOps, and production-scale ML tools
- Includes hands-on workshops, full-day bootcamps, and strategy-focused talks for professionals
Target Audience:
- Machine learning engineers and software developers
- AI product leads and strategic decision-makers
- Data scientists working with real-world ML applications
Contact Information:
- Website: mlconference.ai
- LinkedIn: www.linkedin.com/company/machine-learning-conference
- Twitter: x.com/mlconference
- Facebook: www.facebook.com/mlconference
Conclusion
Machine learning conferences offer invaluable platforms—combining technical depth, real-world application, and networking opportunities. From leading academic gatherings like ICML to industry-focused events such as AI4 and ACMLC, each conference caters to distinct communities and objectives. Attending or reviewing these events can help professionals stay current with breakthroughs, explore new technologies, and connect with peers shaping the future of AI.