Data 2030 Summit is an annual strategy event gathering the Data Management community in one place and platform to discuss ways of enabling faster Data Innovation and AI deployment across the enterprise by setting up a modern Data Management strategy and platform for the new decade.

For the past six years Data 2030 Summit has served as a remarkable knowledge-sharing and networking platform for data practitioners in the Nordics, Europe and Middle East.

Join a thriving, tech-driven AI community for two days of captivating talks, interactive workshops, and dynamic networking opportunities. Don't miss this opportunity to merge minds with industry-leading engineers and researchers. Dive into a vendor neutral ecosystem of knowledge sharing and networking.

Making sense of your data is key for every modern predictive business. At ML Conference you will develop a deep understanding of your data, as well as learn about the latest tools and technologies.

Applied Intelligence Live! Austin merges IoT World Conference & Expo and The AI Summit to create a show that unites transformative technologies from across the digital landscape.
The event will bring together leading speakers with engaged audiences, and solution providers with decision makers, for two days of premium content, meaningful connections, and important deals.

The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices. Conference panel discussions and invited presentations identify significant social, philosophical, and economic issues influencing AI’s development throughout the world.

2024 IEEE International Conference on Robotics and Automation (IEEE ICRA 2024), 13–17 maggio 2024, PACIFICO YokohamaComunicato Yokohama Convention & Visitors Bureau: Yokohama ospiterà una conferenza globale sulla robotica e l'automazione La seconda città più grande del Giappone ad accogliere IEEE ICRA 2024 YOHOKAMA, Giappone – Yokohama è stata scelta per ospitare la IEEE International Conference on Robotics and Automation 2024 (IEEE ICRA 2024). Organizzato dalla IEEE Robotics & Automation Society, il famoso evento tornerà in Giappone per la prima volta dal 2009.

The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.

ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

Participants at ICLR span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them.

The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024) invites the submission of long and short papers on substantial, original, and unpublished research on Natural Language Processing. EACL 2024 will be held in Malta on 17th-22nd March 2024, with online attendance possible.

Papers must be submitted to EACL 2024 via the ACL Rolling Review (ARR) system. As in recent years, some of the presentations at the conference will be for papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals.
Important Dates

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. This year, CVPR will be single track such that everyone (with full passport registration) can attend everything. The focus will be on few selected plenary talks, scientific discussions at poster sessions and plenty of time for networking and socializing. Each paper will be presented at a poster session. All paper award candidates will have a plenary oral talk. Every attendee will have access to a personalized digital program. The virtual platform will host videos, posters and a chat room for every paper. All plenary events will be streamed!

SIGNLL invites submissions to the 27th Conference on Computational Natural Language Learning (CoNLL 2023). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications. Such approaches include:

Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP
Models of first, second and bilingual language acquisition by humans Models of language evolution and change
Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments
Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods
Data resources, techniques and tools for scientifically-oriented research in computational linguistics
Connections between computational models and formal languages or linguistic theories
Linguistic typology, translation, and other multilingual work
Theoretically, cognitively and scientifically motivated approaches to text generation We welcome work targeting any aspect of language, including:

Join us for four days of learning—from tutorials to deep-dive days, covering the latest technical insights, business trends and vision technologies—all with a focus on practical, deployable computer vision and visual/perceptual AI. The Summit connects the theories from great academic conferences, like CVPR, to the concrete needs of innovators building real-world products.