Browse All Conferences in Artificial Intelligence (AI)

AIARS 2026 in Bristol brings together academics and industrial experts in artificial intelligence and autonomous robot systems for research exchange, presentations, and proceedings publication.

You are interested in Case-Based Reasoning (CBR) and the International Conference on Case-Based Reasoning (ICCBR)?

RLC 2026 takes place August 15–18, 2026 at the University of Montreal in Montréal, Canada.

The next IJCAI-ECAI Conference will take place in Bremen, Germany, on 15-21 of August 2026. As always, the Main Track paper submission deadline will fall near the end of January. Detailed information about the various tracks, along with the confirmed schedule, will be announced in the coming weeks.

The 12th International Conference on Machine Vision and Machine Learning (MVML 2026) will be delivered in-person in London, United Kingdom and virtually, providing the opportunity of online presentation for the people who can not travel for any reason. Attendees will be able to connect with researchers from across the globe and network in-person or virtually. The registration fee for virtual participation is reduced.

This conference aims to bring together leading researchers, academics, and industry professionals from around the world to explore the latest advancements, innovations, and challenges in AI and ML.

This conference provides a technical forum for members of both industry and academia to present their latest applications of machine learning. Machine learning has been applied to a broad domain of image/vision systems from medical imaging to consumer cameras. Learned tasks such as image recognition, noise reduction, or natural language processing, are currently being applied in many common devices in consumer and industrial settings. Training datasets and training methods for machine learning are critical for the success of a system. Studies demonstrating the deployment and benchmarking of machine learning algorithms on specialized computer hardware is highly valuable to many groups in this field. Sensor hardware design or selection as it pertains to machine learning tasks; for example, an analysis of different camera designs and how each pertains to the performance of an image recognition task such as object detection, is of interest. Analysis of full systems that include the sensor technology, data processing hardware, and results are welcome as each area is critical for the successful application of machine learning. Papers or tutorials reviewing the topics covered by this section are welcome.

ARIS 2026 is held at National Cheng Kung University in Tainan, Taiwan, under the theme Innovative AI Robotics for the Real World, covering AI and learning for robotics, perception, control, HRI, advanced robotics, and applications.

Build. Deploy. _Drive value_. _LA\'s most significant assembly of AI builders, execs_ _& cracked engineers._ Industry focus is no longer proving the value of generative AI. It\'s about _delivering_ value _at_ scale; deploying apps that are cost-effective, powerful & responsible. Unite with _your_ applied AI community & leave able to: → Conquer blockers in infra, data layer, optimization & beyond. → Remain competitive: build, break & deploy pioneering apps. → Leave with 100s of peers added to your phone book.

The International Conference on Parallel Problem Solving From Nature (PPSN) is a biannual open forum fostering the study of natural models, iterative optimization heuristics, machine learning, and other artificial intelligence approaches.

Fast Machine Learning for Science Conference 2026, hosted by UC San Diego, covers ML algorithm design and optimization, accelerated inference, real-time scientific processing, scalable distributed ML systems, and advanced hardware architectures.

At a time when artificial intelligence is advancing at unprecedented speed, IntelliSys 2026 provides a rigorous platform for academic exchange and critical inquiry. This premier AI conference is dedicated to advancing the foundations of artificial intelligence and exploring their practical applications across disciplines.