Conférences  >  Informatique  >  Agents logiciels et intelligence artificielle

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Algorithmes et structures de données

Moulay Ismail University, Faculty of sciences and Technic,Morocco

The objective of bringing together innovative scientists, professors, research scholars, students and industrial experts in the field of Artificial Intelligence and Smart Environments in a common forum. The primary goal of the conference is to promote the exchange of innovative scientific information between researchers, developers, engineers, students, and practitioners. Another goal is to promote the transformation of fundamental research into institutional and industrialized research and to convert applied exploration into real-time application. Overall, the conference will provide the researchers and attendees with prospects for national and international collaboration and networking among universities and institutions from Morocco and abroad for promoting research.

Tél.: [0672377651];     Email.: y.farhaoui@fste.umi.ac.ma

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    L'Internet des objets (IoT) et réseau de capteurs

University of Johannesburg, South Africa

For the past 19 years ICCWS has developed into an important conference in the cyber-security field, attracting academics, military professionals and practitioners from around the world to present their research findings in the form of empirical studies, case histories and other theoretical and practical contributions. In addition doctoral degree candidates find this conference a valuable opportunity to network with others and have the opportunity to present papers and posters.

Email.: elaine@academic-conferences.org

Cyber Warfare Cyber Defence Cyber Terrorism Cyber Security Cyber Crime Cloud Security Social networking threats Big Data Security Psychological Warfare Digital Forensics

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Code search describes the process of retrieving source code from a repository, where that source code matches a query. Whether a developer is looking for where an error was thrown, learning how to use a new-to-them API, learning a new programming language, or browsing their team’s directory to familiarize themselves with the codebase, search underpins all these activities. Beyond those human-driven software engineering processes, search is also a component in automated software engineering, such as automated program repair, code example recommendation, and clone detection. Furthermore, new generative AI tools have challenged traditional code search by presenting alternative approaches to finding and reusing code.

This Dagstuhl Seminar brings together experts in mining software repositories, human factors in software engineering, software documentation, code examples, program analysis, and industrial code search systems to bridge the gap between industry and academia and set the roadmap for the next decade of code search research.

Génie logiciel,    Conception et gestion des bases de données, Moteurs de recherche et extraction de connaissances à pa

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

While recommender systems is largely an applied field, their evaluation builds on and intersects theories from information retrieval, machine learning, and human-computer interaction. Historically, the theories and evaluation approaches in these fields are very different. Thoroughly evaluating recommender systems requires integrating all perspectives. Hence, this seminar will bring together experts from these fields and serve as a vehicle for discussing and developing the state-of-the-art and practice of evaluating recommender systems. The seminar will set the ground for developing recommender systems evaluation metrics, methods, and practices through collaborations and discussions between participants from diverse backgrounds, e.g., academic and industry researchers, industry practitioners, senior and junior. We emphasize the importance of getting and keeping the big picture of a recommender system’s performance in its context of use, for which it is ultimate to incorporate the technical and the human element. We will set the basis for the next generation of researchers, apt to evaluate and advance recommender systems thoroughly.

Logiciels,    Interface homme-machine, expérience utilisateur

YOUNG-nd

2024 The 7th International Conference on Artificial Intelligence and Big Data (ICAIBD 2024) will take place on May 24-27, 2024 in Chengdu, China. It is sponsored by Sichuan Province Computer Federation and technically assisted by many local and international universities.

Email.: emmaawang2019@sina.com

Intelligent information systems; Intelligent data mining and farming; Intelligent web-based business; AI and evolutionary algorithms; Big Data Analytics and Metrics; Cloud Computing Techniques for Big Data; Big Data Persistence and Preservation; Big Data Quality and Provenance Control; Big Data Economics; Neural networks and applications; Learning and adaptive sensor fusion; Management Issues of Social Network Big Data; Distributed, and Peer-to-peer Search; Machine learning based on Big Data;

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Cours et évènements pour étudiants en mathématiques,    Réseaux de neurones et intelligence artificielle, apprentissage automatique