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Umamah Ayyaz is a content writer and content designer with over seven years of experience producing content for the events industry. Her work focuses on conferences, exhibitions, event strategy, and industry trends, combining in-depth research with practical insights for event professionals.
Key Takeaways
Flagship research venues such as NeurIPS, ICML, and ICLR continue to shape cutting-edge theory, foundation models, and long-term AI direction through late 2026 and 2027.
Applied and enterprise events such as World Summit AI and The AI Summit New York focus on production systems, ROI, and commercial deployment.
Infrastructure and open-source events like PyTorch Conference highlight the tooling and frameworks powering modern AI development.
Several 2027 dates are still pending official confirmation. Therefore, this list is updated as organizers announce them.

 

Introduction

Artificial intelligence is advancing faster than ever, making it more difficult to keep up. However, one right conference can put you at the center of that momentum.

Whether you are a researcher, engineer, or leader, this calendar covers every major AI and ML conference over the next 15 months. We have covered all types of conferences from breakthrough academic research to hands-on industry deployment, so you can plan your travel and submissions well ahead of time.

Quick reference: all events at a glance

ConferenceDateLocation
World Summit AI 2026Oct 7–8, 2026Amsterdam, Netherlands
PyTorch Conference 2026Oct 20–21, 2026San Jose, California, USA
Conference on Robot Learning (CoRL 2026)Nov 9–12, 2026Austin, Texas, USA
The AI Summit New York 2026Dec 9–10, 2026New York City, USA
NeurIPS 2026Dec 6–13, 2026Sydney, Paris & Atlanta
IEEE Big Data 2026Dec 14–17, 2026Phoenix, Arizona, USA
WACV 2027Jan 4–8, 2027Orlando, Florida, USA
WSDM 2027Feb 15–19, 2027Hong Kong SAR, China
AAAI-27Feb 16–23, 2027Montreal, Canada
ICASSP 2027May 16–21, 2027Toronto, Canada
ICRA 2027May 24–28, 2027Seoul, South Korea
ICLR 2027Apr 26–30, 2027San Francisco, USA
NAACL 2027Jun 1–5, 2027San Francisco, USA
CVPR 2027Jun 20–24, 2027Seattle, Washington, USA
AI Con USA 2027Jun 6–11, 2027 (provisional)Seattle, Washington, USA
ICML 2027Mid-July 2027 (est.)South America (TBA)
ACL 2027Aug 17–22, 2027Kyoto, Japan
AISTATS 2027TBATBA
IJCAI 2027Aug 7–17, 2027Kyoto & Hengqin
ICCV 2027Oct 2–8, 2027Hong Kong
IEEE Conference on Artificial Intelligence (CAI) 2027Nov 30 – Dec 2, 2027Marina Bay Sands, Singapore

Late 2026 (October – December)

World Summit AI 2026

LocationAmsterdam, Netherlands
DateOctober 7–8, 2026
WebsiteWorld Summit AI
CostPackages starting at €1,099 to €2,299, with group discounts.

Overview of the Conference

World Summit AI is one of the largest enterprise-facing AI gatherings globally, marking its 10th anniversary in 2026. Rather than academic paper presentations, the summit focuses on applied enterprise AI, startup innovation, and investment, bringing together big tech, founders, and policymakers under one roof.

Key Focus AreasWho Should Attend
  • Enterprise AI adoption and strategy
  • AI safety, sovereignty, and governance
  • Startup and investor ecosystems
  • Frontier research announcements
  • Creative industries and AI
  • Enterprise AI and technology leaders
  • Startup founders and investors
  • Policymakers and governance professionals
  • Business development and partnerships teams

PyTorch Conference 2026

LocationSan Jose, California, USA
DateOctober 20–21, 2026
WebsitePyTorch Events
CostAcademic seat: $249; Attendee: $999.

Overview of the Conference

Hosted by the PyTorch Foundation, this conference gathers the open-source AI community around PyTorch and adjacent projects like vLLM, DeepSpeed, and Ray. It blends deep technical talks with hands-on workshops spanning the full AI stack, from infrastructure to agent-based applications.

Key Focus AreasWho Should Attend
  • Core PyTorch framework development
  • Training and inference optimization
  • Kernel engineering, compilers, and DSLs
  • Responsible AI, security, and privacy
  • Open-source AI ecosystem tooling
  • ML engineers and framework developers
  • Infrastructure and platform teams
  • Open-source contributors
  • Applied researchers building on PyTorch

Conference on Robot Learning (CoRL 2026)

LocationAustin, Texas, USA
DateNovember 9–12, 2026
WebsiteCoRL
Cost
Full Conference (incl. workshops)
Academic$400
Student$200
Industry$1,200
Workshop Only
Academic$150
Student$75
Industry$450
Late Registration (full conference, on/after Nov 1)
All attendees$1,500

Overview of the Conference

CoRL is the leading academic conference at the intersection of robotics and machine learning. It is a selective, single-track venue addressing the theory and practice of learning-based approaches to robot perception, control, and decision-making, increasingly relevant as robot foundation models move from research demos toward deployment.

Key Focus AreasWho Should Attend
  • Robot foundation models and generalist policies
  • Imitation and reinforcement learning for robotics
  • Sim-to-real transfer
  • Manipulation and navigation
  • Model-based and model-free control
  • Robotics and ML researchers
  • PhD students and postdocs in embodied AI
  • Robotics startup founders and engineers
  • Industrial AI labs working on physical systems

The AI Summit New York 2026

LocationNew York City, New York, USA
DateDecember 9–10, 2026
WebsiteThe AI Summit
CostExpo starting at $99; Delegate: $2,099; VIP All Access: $2,799.

Overview of the Conference

Now in its 11th year, The AI Summit New York is Informa's flagship North American enterprise AI event. It's deliberately commercial rather than academic, focused on case studies of AI already in production across financial services, healthcare, retail, and media.

Key Focus AreasWho Should Attend
  • Enterprise AI deployment case studies
  • Data governance, privacy, and AI risk
  • Generative and agentic AI in business
  • AI in financial services and healthcare
  • Start-up and investor programming
  • Chief AI/Data/Information Officers
  • VPs of engineering and digital transformation leads
  • Enterprise product and innovation leaders
  • Venture investors and solution providers

NeurIPS 2026

LocationDistributed across Sydney, Paris, and Atlanta
DateMain conference (Dec 6–12) in Sydney; satellite events in Atlanta and Paris (Dec 9–13)
WebsiteNeurIPS
CostVirtual pass from $50; event and workshop pass from $200. Pricing varies by student, academic, and industry registration.

Overview of the Conference

NeurIPS is the world's most influential and highest-attended machine learning conference. The 2026 edition is notable for running as a distributed, multi-city event rather than a single host location; confirm your regional venue directly on the official site before booking travel.

Key Focus AreasWho Should Attend
  • Deep learning and foundation models
  • Reinforcement learning and control
  • Computer vision and NLP
  • AI safety, fairness, and ethics
  • Large-scale ML systems and infrastructure
  • Senior researchers and research engineers
  • AI practitioners at scale-focused organizations
  • Policymakers and AI ethics researchers
  • Founders building research-driven AI products

IEEE Big Data 2026

LocationPhoenix, Arizona, USA
DateDecember 14–17, 2026
WebsiteIEEE BigData 2026
CostNot yet disclosed.

Overview of the Conference

Running since 2013, IEEE Big Data is a top-tier research conference covering the "5Vs" of big data, that is volume, velocity, variety, value, and veracity, with strong overlap into machine learning, data mining, and scalable AI systems.

Key Focus AreasWho Should Attend
  • Data mining and scalable systems
  • Machine learning and federated learning on big data
  • Privacy and security of big data
  • Healthcare and IoT/sensor data
  • Data-centric AI
  • Data scientists and ML researchers
  • Systems and database engineers
  • Academic researchers publishing peer-reviewed work
  • Industry practitioners working with large-scale data

January – March, 2027

WACV 2027

LocationOrlando, Florida, USA
DateJanuary 4–8, 2027
WebsiteWACV / CVF
CostNot yet disclosed.

Overview of the Conference

The Winter Conference on Applications of Computer Vision (WACV) is CVF-sponsored and focuses specifically on applied, real-world computer vision, the application-focused counterpart to CVPR.

Key Focus AreasWho Should Attend
  • Applied computer vision systems
  • Low-resource and edge vision models
  • Vision for robotics and autonomous systems
  • Medical and industrial imaging applications
  • Vision-language applications
  • Applied computer vision engineers
  • Researchers with a deployment focus
  • Robotics and imaging practitioners
  • Startups building vision products

WSDM 2027

LocationHong Kong SAR, China
DateFebruary 15–19, 2027
WebsiteWSDM Conference
CostNot yet disclosed.

Overview of the Conference

The ACM International Conference on Web Search and Data Mining (WSDM) is a premier venue for research on web-scale search, recommendation systems, and data mining.

Key Focus AreasWho Should Attend
  • Search and information retrieval
  • Recommender systems
  • Web-scale data mining
  • Graph and network learning
  • User modeling and behavioral data
  • Search and recommendation engineers
  • Data mining researchers
  • Applied scientists at web-scale companies
  • Graduate students in IR and data science

AAAI-27

LocationMontreal, Canada
DateFebruary 16–23, 2027
WebsiteAAAI
CostNot yet disclosed.

Overview of the Conference

AAAI is one of the longest-running and broadest general AI conferences, spanning the entirety of artificial intelligence and its affiliated disciplines. AAAI-27's theme continues the "bridges within and beyond AI" focus, covering everything from core technical research to AI alignment and social impact tracks.

Key Focus AreasWho Should Attend
  • General and foundational AI research
  • AI alignment and safety
  • AI for social impact
  • Multi-agent systems and reasoning
  • Applied and industry AI track (IAAI)
  • AI researchers and professors across all subfields
  • PhD students and doctoral consortium participants
  • Industry researchers submitting to the applied track
  • Policy and alignment-focused researchers

ICASSP 2027

LocationToronto, Canada
DateMay 16–21, 2027
WebsiteIEEE ICASSP
CostNot yet disclosed.

Overview of the Conference

ICASSP is IEEE's flagship conference on acoustics, speech, and signal processing, a key venue for speech recognition, audio ML, and signal-processing-adjacent deep learning research. The 2027 edition is confirmed for Toronto after running as TBA at the submission stage.

Key Focus AreasWho Should Attend
  • Speech and audio processing
  • Signal processing for machine learning
  • Multimodal and audio-visual learning
  • Deep learning for acoustic modeling
  • Hardware-aware signal processing
  • Speech and audio ML researchers
  • Signal processing engineers
  • Academic researchers in acoustics
  • Industry teams building voice/audio products

ICRA 2027

LocationSeoul, South Korea (COEX)
DateMay 24–28, 2027
WebsiteIEEE ICRA
CostNot yet disclosed.

Overview of the Conference

The International Conference on Robotics and Automation (ICRA) is one of the two flagship IEEE robotics conferences, covering the full breadth of robotic systems, from mechanical design to learning-based control. The 2027 edition is confirmed for Seoul after running as TBA at the submission stage.

Key Focus AreasWho Should Attend
  • Robot perception and manipulation
  • Learning-based robotic control
  • Autonomous navigation
  • Human-robot interaction
  • Robotics hardware and automation
  • Robotics researchers and engineers
  • Roboticists working on learning-based control
  • Robotics startup teams
  • Academic labs publishing robotics research

April – June, 2027

ICLR 2027

LocationSan Francisco, California, USA
DateApril 26–30, 2027 (main conference April 26–28; workshops April 29–30)
WebsiteICLR
CostNot yet disclosed.

Overview of the Conference

ICLR is one of the "big three" deep learning venues alongside NeurIPS and ICML, and the only one that runs entirely public, open review via OpenReview. It's the fastest-growing of the major ML conferences and a key venue for representation learning research.

Key Focus AreasWho Should Attend
  • Representation and deep learning
  • Reinforcement learning
  • AI for science (biology, materials, climate)
  • Multi-agent systems and generative AI
  • Open, public peer review
  • Deep learning researchers and practitioners
  • AI startup CTOs and technical leads
  • Enterprise AI adoption leaders
  • Graduate students and postdocs in ML

NAACL 2027

LocationSan Francisco, California, USA
DateJune 1–5, 2027
WebsiteNAACL 2027
CostNot yet disclosed.

Overview of the Conference

NAACL is the North American chapter of the Association for Computational Linguistics, a leading venue for human language technology research, with submissions routed through the shared ACL Rolling Review (ARR) system.

Key Focus AreasWho Should Attend
  • Natural language processing and understanding
  • Large language models
  • Computational linguistics
  • Machine translation and multilingual NLP
  • NLP evaluation and benchmarking
  • NLP researchers and engineers
  • Computational linguists
  • LLM application developers
  • Graduate students in language technology

CVPR 2027

LocationSeattle, Washington, USA
DateJune 20–24, 2027
WebsiteCVPR / CVF
CostNot yet disclosed.

Overview of the Conference

CVPR is the leading global conference for computer vision research, and one of the fastest-moving venues in terms of research-to-production timelines. The breakthroughs here quickly show up in autonomous vehicles, medical imaging, robotics, and AR.

Key Focus AreasWho Should Attend
  • Computer vision and image understanding
  • Vision-language and multimodal models
  • Deep learning for visual recognition
  • Autonomous systems and robotics vision
  • Real-world vision deployment
  • Computer vision researchers and engineers
  • Applied ML practitioners in vision-heavy domains
  • Robotics and autonomous systems developers
  • Industry teams deploying visual AI

AI Con USA 2027

LocationSeattle, Washington, USA (hybrid, in-person and virtual)
DateDates officially listed as TBD; provisionally June 6–11, 2027
WebsiteAI Con USA
CostNot yet disclosed.

Overview of the Conference

AI Con USA is a hybrid, practitioner-oriented conference combining in-person Seattle attendance with a large virtual audience. It covers applied AI and ML topics across governance, MLOps, and application development rather than academic research. Treat the June dates as provisional until the organizer confirms the full program.

Key Focus AreasWho Should Attend
  • AI transformation and agentic AI
  • AI governance, regulation, and compliance
  • MLOps and AIOps
  • AI application development and LLMs
  • AI security and safety
  • AI practitioners and engineering leaders
  • Product and platform teams adopting AI
  • Compliance and governance professionals
  • Hybrid/virtual attendees seeking flexible access

July – September, 2027

ICML 2027

LocationSouth America (host city not yet announced)
DateEstimated mid-July 2027
WebsiteICML
CostNot yet disclosed.

Overview of the Conference

ICML is one of the world's leading machine learning research conferences, known for a rigorous peer-review process and highly selective acceptance rate. The 2027 edition is set to be held in South America for the first time in the conference's history.

Key Focus AreasWho Should Attend
  • Machine learning theory and optimization
  • Deep learning architectures and training methods
  • Reinforcement learning and decision-making
  • Interpretability, robustness, and alignment
  • Foundation models
  • Academic researchers and PhD students
  • Research scientists at AI labs and tech companies
  • Applied ML researchers working on novel algorithms
  • Graduate students pursuing research careers

ACL 2027

LocationKyoto, Japan
DateAugust 17–22, 2027
WebsiteACL
CostNot yet disclosed.

Overview of the Conference

The Annual Meeting of the Association for Computational Linguistics (ACL) is the flagship global NLP conference. The 2027 edition is confirmed for Kyoto, coordinated with the AACL chapter for its Asia/Pacific programming.

Key Focus AreasWho Should Attend
  • Computational linguistics and NLP
  • Large language models
  • Multilingual and low-resource language processing
  • NLP ethics and evaluation
  • Dialogue and generation systems
  • NLP and computational linguistics researchers
  • LLM developers and applied scientists
  • Academic and industry language technology teams
  • Graduate students in NLP

AISTATS 2027

LocationTBA (location under confirmation)
DateTBA (submission deadline in early October 2026)
WebsiteAISTATS
CostNot yet disclosed.

Overview of the Conference

AISTATS (International Conference on Artificial Intelligence and Statistics) sits at the intersection of machine learning, statistics, and applied probability. It is a smaller, highly technical venue popular with researchers focused on statistical learning theory; the organizers have not yet finalized the 2027 dates and location.

Key Focus AreasWho Should Attend
  • Statistical machine learning
  • Probabilistic modeling
  • Learning theory
  • Bayesian methods
  • Optimization for ML
  • Statisticians and ML theorists
  • Academic researchers in learning theory
  • PhD students in statistics and ML
  • Applied researchers in probabilistic modeling

IJCAI 2027

LocationKyoto, Japan (Aug 7–13) and Hengqin, China (Aug 15–17)
DateAugust 7–17, 2027
WebsiteIJCAI
CostNot yet disclosed.

Overview of the Conference

The International Joint Conference on Artificial Intelligence (IJCAI) is one of the oldest and most prestigious general AI conferences, covering the full breadth of AI research from knowledge representation to multi-agent systems. The 2027 edition runs across two linked locations, Kyoto and Hengqin.

Key Focus AreasWho Should Attend
  • Machine learning and data-driven AI
  • Knowledge representation and reasoning
  • Multi-agent systems and game theory
  • Planning and decision support
  • AI applications in industry and society
  • AI researchers and professors
  • ML practitioners working in complex systems
  • Doctoral candidates presenting foundational research
  • Industry professionals seeking research-backed insights

October – December, 2027

ICCV 2027

LocationHong Kong
DateOctober 2–8, 2027
WebsiteICCV / CVF
CostNot yet disclosed.

Overview of the Conference

ICCV is the computer vision community's other flagship, alternating years with ECCV. It draws a global audience of vision researchers and stands alongside CVPR as one of the two most influential CV venues.

Key Focus AreasWho Should Attend
  • Computer vision and pattern recognition
  • 3D vision and reconstruction
  • Video understanding
  • Vision-language models
  • Generative vision models
  • Computer vision researchers and engineers
  • PhD students and postdocs in vision
  • Applied ML practitioners in vision-heavy industries
  • Robotics and AR/VR developers

IEEE Conference on Artificial Intelligence (CAI) 2027

LocationMarina Bay Sands, Singapore
DateNovember 30 – December 2, 2027
WebsiteIEEE CAI
CostNot yet disclosed.

Overview of the Conference

IEEE CAI bridges academic AI research with industrial application, jointly sponsored by four IEEE societies. It's positioned as an applied, industry-facing counterpart to purely academic venues, with a strong exhibition component.

Key Focus AreasWho Should Attend
  • Applied AI across industry verticals
  • AI engineering and deployment
  • Human-AI interaction
  • AI for healthcare and smart cities
  • Ethical and societal implications of AI
  • Applied and interdisciplinary AI researchers
  • Engineers building production AI systems
  • Industry professionals exploring AI adoption
  • Academics collaborating across engineering domains

Ready to Attend the Next Conference?

The AI landscape in 2026 and 2027 is defined by scale, responsibility, and real-world impact. The conferences cover everything from foundational research to enterprise strategy. So, if you are aiming to publish breakthrough research, deploy AI at scale, or shape responsible policy, the right event can accelerate your trajectory.

Invest your time wisely, as one conference can redefine your network, expand your knowledge, and unlock your next big opportunity.

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