In 2026, applied machine learning is set to take center stage across industries, research labs, and innovation hubs. From generative AI to foundation models and edge computing, breakthroughs in machine learning are reshaping how we interact with technology. A new wave of global conferences and workshops will explore not only cutting-edge research but also how these tools are being used in practice—from healthcare and agriculture to climate science and space.
Among the most anticipated events, DSC Next 2026 leads the way.
DSC Next 2026
DSC Next 2026 is a flagship event dedicated to applied data science and AI innovation. It brings together researchers, engineers, and enterprise leaders who are transforming industries through machine learning. This year’s agenda will spotlight key themes such as enterprise AI adoption, automation, and the ethical use of intelligent systems.
Why Attend DSC Next 2026?
Cutting-Edge Insights
Stay ahead of the curve by exploring the latest research, tools, and techniques in data science and machine learning.
Practical Applications
Participate in hands-on workshops that bridge theory with practice, translating academic advancements into real-world business solutions.
Networking Opportunities
Connect with leading experts, peers, and collaborators from both academia and industry to spark partnerships and drive innovation.
Innovation and Collaboration
Be part of a dynamic environment that fosters knowledge exchange and inspires fresh ideas for tackling modern challenges.
Professional Development
Engage with diverse perspectives and emerging trends that support continuous learning and career growth.
Applied Machine Learning Days (AMLD): 2026 10th Anniversary
Dates: February 10–13, 2026
Location: SwissTech Convention Center
Focus: AMLD celebrates a decade of innovation, exploring multimodal AI, natural interfaces for foundation models, and practical ML applications in sectors like sustainability, healthcare, and robotics.
MLSys 2026: Ninth Annual Conference on Machine Learning and Systems
Dates: May 17-22, 2026
Location: Bellevue, WA
Focus: Focused on the systems side of AI, MLSys will explore scalable training, MLOps, model inference, and AI hardware efficiency.
Advanced Scientific Computing & Machine Learning (BITS Pilani)
Dates: February 10–12, 2026
Location: BITS Pilani, Goa Campus, India
Focus: A deep dive into AI-driven simulations, scientific computing, and generative models in scientific research and engineering.
ICMLSC 2026: International Conference on Machine Learning and Soft Computing
Dates: February 4–6, 2026
Location: Osaka, Japan
Focus: Highlights include soft computing, fuzzy systems, and intelligent data analysis for real-world applications.
Data Innovation Summit 2026
Dates: May 6–7, 2026
Location: Kistamässan, Stockholm (Hybrid)
Focus: This pan-European event covers data science, AI in business, MLOps, and industry-specific AI case studies.
United Nations/Costa Rica Workshop on ML for Space Weather and GNSS
Dates: February 16–20, 2026
Location: Costa Rica
Focus: Organized by the UN, this unique workshop will explore ML applications in space weather forecasting, GNSS accuracy, and satellite operations.
Key AI & Machine Learning Events in Amsterdam (2025)
Amsterdam’s AI calendar is in full swing, starting with the just successfully completed inaugural DSC Next 2025 and continuing with other major conferences:
DSC Next 2025 (May 7–9, Sheraton Amsterdam Airport Hotel)
The first edition of DSC Next brought together leading voices in data science and AI for hands-on workshops, enterprise case studies, and future-focused keynotes on automation and ethical AI.
AI & Big Data Expo Europe (September 24–25, RAI Amsterdam)
A premier event on Generative AI, machine learning, and big data, featuring live demos, tech showcases, and industry insights.
World Summit AI (October 8–9, Taets Art & Event Park)
Part of World AI Week, this global summit will gather AI leaders, researchers, and startups for two days of innovation and collaboration.
Conclusion: A Year to Watch
The 2026 calendar for applied machine learning is rich with opportunity. Whether you’re a researcher aiming to publish, a developer looking to upskill, or a business leader seeking AI solutions, these conferences offer the perfect environment to connect, collaborate, and innovate.
With DSC Next setting the tone, 2026 promises to be a landmark year in making machine learning work for the real world.
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