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For business leaders, data engineers, and researchers, attending an AI or computer vision conference in 2026 should be a top priority.
These gatherings showcase breakthroughs in generative AI models, deep learning, and annotation, but the biggest value of attending a computer vision or AI conference lies in their ability to connect you with industry leaders.
Through expert sessions, workshops, and hands-on demonstrations, attendees get the chance to work and learn AI strategies from the top thought leaders in the space.
In the next section, we break down the 10 biggest computer vision and AI conferences in 2026, giving you a roadmap to maximize your learning, networking, and innovation opportunities.
The Top AI & Computer Vision Conferences at a Glance
We will go over each conference in more detail later in the article. But if you want a quick overview of the 10 biggest conferences, the table below will help.
The Top Computer Vision Conferences
Computer vision sits at the heart of today’s most exciting advances in artificial intelligence. From powering autonomous driving to enabling smarter recommendation engines and behavior prediction, this field is shaping how we see and interact with the world.
Below, we highlight the most influential gatherings that set the direction for research and business applications alike.
CVPR (Conference on Computer Vision and Pattern Recognition)
CVPR is the world’s premier computer vision and artificial intelligence conference, attracting thousands of researchers, engineers, and business leaders each year.
Organized by the IEEE and CVF, it serves as a launchpad for groundbreaking work in deep learning, behavior prediction, motion planning, remote sensing, and autonomous driving. The conference balances academic rigor with applied innovation, making it one of the most influential AI conferences globally.
Date: June 3-7, 2026.
Location: Denver, Colorado.
Virtual Access: Live streamed keynotes and access to recorded tutorials, workshops, and proceedings, though not all sessions are streamed.
Focus / Who Should Attend:
CVPR is ideal for researchers, data engineers, and companies investing in computer vision, generative AI, and AI strategies.
Attendees gain exposure to expert sessions, tutorials, and workshops covering high-performance computing, edge computing, and data analytics, with direct applications in fields like autonomous driving, network optimization, and customer experience.
International Conference on Computer Vision (ICCV)
ICCV is one of the most prestigious global gatherings in computer vision and machine learning, held every two years. It brings together academics, researchers, and industry innovators to present cutting-edge work on topics like deep learning models, motion planning, and autonomous driving.
Date: October 2026.
Location: To be announced (previous editions have rotated worldwide, including Paris, Seoul, and Venice).
Virtual Access: access to live streams and replays, but paper presenters are generally required to attend in person.
Focus / Who Should Attend:
ICCV is best suited for researchers, PhD students, and organizations seeking to explore theoretical advancements alongside applied breakthroughs.
Expect intensive paper presentations, tutorials, and workshops designed for those shaping the next generation of AI strategies.
European Conference on Computer Vision (ECCV)
ECCV is Europe’s flagship AI conference for computer vision, alternating years with ICCV. It emphasizes both foundational theory and practical applications in natural language processing, remote sensing, and data analytics.
Date: September 8-13, 2026.
Location: Malmö, Sweden.
Virtual Access: Includes virtual passes with online session access and recordings, while accepted authors must usually register in person.
Focus / Who Should Attend:
ECCV is ideal for European researchers, startups, and business leaders looking to collaborate on projects that link vision with AI-driven business value. ECCV offers a strong mix of academic sessions, poster presentations, and networking opportunities.
Embedded Vision Summit
The Embedded Vision Summit focuses on practical applications of computer vision and edge computing in real-world products. It highlights how vision systems are transforming industries like robotics, healthcare, and autonomous driving, with a strong emphasis on deployment at scale.
Date: May 11-13, 2026.
Location: Santa Clara, California (Silicon Valley).
Virtual Access: Offers a virtual pass that streams keynotes, selected technical sessions, and on-demand recordings.
Focus / Who Should Attend:
The Embedded Vision Summit is perfect for engineers, product managers, and business leaders building vision-enabled solutions. Attendees gain insights into system design, AI strategies, and deep learning innovations that deliver measurable business value.
The event also features an expo showcasing the latest hardware and software tools for accelerating development.
The Top AI Conferences
AI conferences provide a front-row seat to breakthroughs in machine learning, generative AI, and high-performance computing, while also showcasing the latest tools and AI strategies for real-world impact.
The following conferences connect industry leaders, researchers, and business leaders, offering both technical depth and strategic insight.
NVIDIA GTC
NVIDIA GTC is one of the most influential global events for artificial intelligence and high-performance computing. It covers everything from generative AI and deep learning to quantum computing and data engineering.
With a mix of expert sessions, hands-on labs, and keynote addresses from leaders at NVIDIA and partners like Google DeepMind, the conference highlights both research breakthroughs and real-world business applications.
Date: March 16-19, 2026.
Location: San Jose, California.
Virtual Access: Fully supports virtual attendance with live keynotes, technical talks, training, and on-demand replay access.
Focus / Who Should Attend:
NVIDIA GTC was designed for data engineers, developers, researchers, and business leaders seeking to translate AI into measurable business value.
It’s particularly valuable for those working in cloud conferences, AI strategies, and industries pushing the limits of autonomous driving, network optimization, and scientific insights.
AAAI Conference on Artificial Intelligence (AAAI)
AAAI is one of the longest-running and most respected gatherings in artificial intelligence. It serves as a bridge between academic research and applied innovation, featuring sessions on machine learning, natural language processing, generative AI, and emerging areas like agentic AI.
The conference emphasizes both technical rigor and societal impact, including ethics and public trust.
Date: January 20-27, 2026.
Location: Singapore.
Virtual Access: Runs as a hybrid event where virtual attendees can join livestreams of talks and panels and access recordings.
Focus / Who Should Attend:
AAAI offers deep dives into theory, workshops on applied systems, and panels connecting industry leaders with academia to shape the future of intelligent systems. Making it best suited for researchers, graduate students, and business leaders looking to understand the future of AI strategies.
Data + AI Summit
The Data + AI Summit, hosted by Databricks, is the leading event at the intersection of data engineering, machine learning, and artificial intelligence. It showcases advances in data analytics, generative AI models, and real-world use cases that demonstrate the direct business value of unified data and AI strategies.
Date: June 15-18, 2026.
Location: San Francisco, California.
Virtual Access: Provides both in-person and virtual registration, with streaming of sessions, training, and on-demand access.
Focus / Who Should Attend:
The Data + AI Summit is ideal for data engineers, analysts, scientists, and business leaders who want to harness the power of AI in enterprise settings.
The event combines technical workshops, expert sessions, and keynote talks, making it a must-attend for organizations aiming to scale AI strategies and drive innovation in cloud and enterprise systems.
Rise of AI
Rise of AI is Europe’s flagship artificial intelligence conference, centered on the societal, business, and ethical dimensions of AI adoption.
While it includes technical tracks on machine learning and deep learning, its main strength lies in connecting industry leaders, policymakers, and entrepreneurs to discuss the long-term impact of AI strategies on business and society.
Date: May 5-6, 2026.
Location: Berlin, Germany.
Virtual Access: Offers hybrid participation with live-streamed talks and recordings available to virtual ticket holders.
Focus / Who Should Attend:
Rise of AI is a strong fit for business leaders, policymakers, and executives exploring the strategic and regulatory aspects of AI.
Attendees benefit from thought-leadership keynotes, panels on public trust and governance, and networking sessions designed to link startups, enterprises, and government stakeholders.
HumanX (US)
HumanX is a high-impact AI conference where enterprise leaders, innovators, and capital converge to turn AI into real outcomes. It emphasizes bridging the gap between research, product strategy, and business deployment—anchoring programming by job function rather than just technology.
Date: April 6‑9, 2026.
Location: San Francisco, California.
Virtual Access: No.
Focus / Who Should Attend:
HumanX is well suited for senior executives, product leaders, AI strategists, and technical decision‑makers who aim to translate AI from concept to large-scale business impact. Sessions and experiences focus on function‑driven tracks (e.g. builders, command desk, customer engine, ecosystem) and facilitate buyer‑seller matchmaking, peer exchange, and 1:1 networking
IBM Think
Think is IBM’s flagship technology conference, with artificial intelligence, cloud computing, and high-performance computing at its core. The event blends thought leadership with technical depth, highlighting use cases in generative AI, network optimization, and quantum computing.
Date: May 4-7, 2026.
Location: Boston, MA.
Virtual Access: Provides a strong virtual option with live streams of keynotes, breakout sessions, and replay libraries.
Focus / Who Should Attend:
Think is ideal for enterprise executives, IT decision-makers, and technical teams. Attendees gain insights from IBM and partner experts on AI strategies, data analytics, and the Power of Networks.
The event also offers hands-on labs and solution showcases for those seeking enterprise-grade applications of AI.
What Conference Do We Suggest You Attend?
Each of these conferences brings something unique, whether it’s the research depth of CVPR, the enterprise focus of Data + AI Summit and Think, or the strategic dialogue at Rise of AI.
Together, they highlight how fast artificial intelligence and machine learning are moving from theory into practice, creating real business value across industries.
The key takeaway? Pick conferences that match your goals. If you’re a researcher, events like ICCV or AAAI will sharpen your technical expertise. If you’re a business leader, forums such as NVIDIA GTC or Embedded Vision Summit will show you how to turn innovation into strategy. And if you’re looking for cross-disciplinary insights, gatherings like AI Con and ECCV bridge the gap between academia and applied impact.
In short, the question isn’t which AI conference should you attend, it’s which one will best accelerate your growth, network, and vision for the future.
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