Explore our comprehensive collection of conferences across all categories and locations
53 conferences found
by Food and Agriculture Organization of the United Nations
FAO's 2026 Global Conference on Smart Farming, held in Rome and online, focuses on scaling smart farming systems through data ecosystems, analytics capacity, AI, emerging technologies, youth and women entrepreneurship, digital skills, and sustainable input and resource management.
The 2026 IEEE World Congress on Computational Intelligence (WCCI 2026) is the world's leading forum for advances in computational intelligence. It brings together the three flagship conferences of the IEEE Computational Intelligence Society: the International Joint Conference on Neural Networks (IJCNN), the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), and the IEEE Congress on Evolutionary Computation (IEEE CEC).
by International Machine Learning Society
by Robotics: Science and Systems Foundation
by Democritus University of Thrace
by AIARS Organizing Committee
by ICCBR
by Reinforcement Learning Conference
by IJCAI - International Joint Conferences on Artificial Intelligence
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.
by International ASET Inc.
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.
by Mindspace Conferences
by SPIE - The International Society of Optics and Photonics
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.