Upcoming AI & Machine Learning Conferences 2026

The top AI and ML conferences in 2026 include NeurIPS (Neural Information Processing Systems), ICML (International Conference on Machine Learning), ICLR (International Conference on Learning Representations), CVPR for computer vision, ACL for NLP, and AAAI for broad AI research. On the industry side, AI Summit, World AI Cannes Festival, and AI & Big Data Expo attract practitioners from enterprise teams. Browse our full list above, sorted by nearest date, with official registration links verified by our team.

NeurIPS (December) is the largest AI conference, blending deep foundational research with large-scale empirical results — it's where seminal papers like attention mechanisms and GANs were first presented. ICML (July) focuses more narrowly on machine learning methodology and optimization theory. For practitioners building production systems, ICLR (spring) and MLSys are often more directly applicable. If you're deciding where to submit research, consider your paper's primary contribution: theory → ICML, systems → MLSys, broad ML → ICLR or NeurIPS.

Yes — several major AI events offer free online or hybrid attendance. ICLR has historically made all talks publicly available. Many NLP workshops (co-located with ACL, EMNLP) stream sessions live. EleutherAI and Hugging Face regularly host free community events. The AI Safety community (Alignment Forum, MATS) hosts online seminars. Filter by "Online" or "Hybrid" format on our homepage to find virtual AI events you can attend from anywhere.

Academic AI conferences use double-blind peer review. Submission deadlines vary by venue and year — NeurIPS 2026 closed in May, ICML usually closes in late January — so check each conference's official call for papers rather than assuming a season. The review cycle is 2–3 months, with author rebuttals. Camera-ready versions are due 4–6 weeks before the event. For NeurIPS, acceptance rates hover around 25–26%. Write a strong abstract and introduction — reviewers decide quickly whether to engage. ArXiv pre-submission is standard but check each venue's policy on prior publication.

In 2026, the hottest practitioner topics at AI conferences are: LLM fine-tuning and RLHF pipelines, retrieval-augmented generation (RAG) architectures, inference optimization (quantization, speculative decoding, KV cache management), agentic AI frameworks (tool use, multi-step reasoning), AI safety and alignment evaluations, and multimodal models (vision-language, speech). MLOps and LLMOps — managing model drift, evaluation datasets, prompt versioning — are consistently oversubscribed sessions.

Before the event: shortlist 8–10 sessions using the schedule app, identify 5 specific people you want to meet (speakers, company booths), and prepare a crisp 30-second description of your work. At the event: attend workshops over keynotes for depth; poster sessions offer direct access to paper authors that talks don't. After: publish a brief conference recap on LinkedIn within 48 hours while details are fresh — this compounds networking value significantly. For academic conferences, the hallway track and dinner conversations often outperform the formal program.

Europe hosts strong AI research and industry conferences. ECML-PKDD (European ML + Data Mining) rotates between European cities. ECAI (European Conference on AI) is the flagship academic event. The AI Summit London and World Summit AI (Amsterdam) lead on the enterprise side. Germany hosts DeepLearn and ICANN; France hosts ML Reproducibility Challenge workshops. The Nordic countries (Sweden, Finland, Denmark) have growing AI research communities with regional events. Use the country filter on our homepage to find events in any specific European country.