Conférences  >  Mathématiques  >  Réseaux de neurones et intelligence artificielle, apprentissage automatique  >  Chine

China Communications Information & Technology Group Co., Ltd., Beijing Institute of Control Robotics and Intelligent Technology, Beijing University of Chemical Technology, Xi'an Jiaotong University, Deakin University

2024 The 3rd International Conference on Artificial Intelligence and Blockchain Technology (AIBT2024) will be held in Beijing, China during September 14-16, 2024 as the workshop of BDIOT 2024.

Email.: emmaawang2019@sina.com

Artificial Intelligence; Evaluation of Al tools; Blockchain; Application of digital currency; Blockchain investment; Blockchain landing application;

AIPR2024 is mainly organised by Huaqiao University, co-sponsored by Wuhan Institute of Technology and Minnan Normal University, China.

Today, AI is surrounding us, it is coordinated into our every day lives. Artificial Intelligence is empowering machines to behave like humans by adding Emotional Quotient(EQ) to them. Artificial intelligence is a blooming technological advancement, from software’s like Alexa, to basic human command system. Big data can be used to speed up AI development and soon AI will significantly impact our everyday lives. AI is the future and it’s here to stay. In the future, there will be a greater demand for people who can program machines to “think” and enrich human lives. A pattern is a short description of the data. Pattern recognition is how agents make predictions, which is a central problem in AI. Pattern recognition forms the basis of learning and action for all living things in nature. The importance of Pattern Recognition can be traced from its needs in daily life- pattern recognition plays an important role: reading texts, identifying people, retrieving objects, or finding the way in a city. Once patterns are established, learned from some examples or from a teacher, we are able to classify new objects or phenomena into a class of known patterns. Pattern Recognition is a vast area of research and there are endless number of possibilities as pattern recognition is still under research as it is getting more futuristic and intelligent with a great affect in human life in a positive manner.

Email.: Dunn@iact.net

Pattern Recognition and Machine Learning; Computer Vision and Robot Vision; Image, Speech, Signal and Video Processing; Document Analysis, Biometrics and Pattern Recognition Applications; Biomedical Image Analysis and Applications;

International Academy of Computing Technology

2024 7th International Conference on Big Data and Machine Learning will be held in Xiamen, China during September 20-22, 2024. Machine Learning (ML) and Big Data Processing & Analytics (BDA) are both evolutionary fields of computing and the developments in these fields are complementing each other. The ever changing data landscape in modern digital world have resulted in newer ways of data processing frameworks in order to get meaningful insights which are unprecedented. ML based Big Data Processing has gained popularity and new developments are on the rise for efficient data processing. This field is witnessing unparalleled emergence of new methods and approaches for efficient data processing in order to discover interestingness for decision making. Thus, more and more ML based data processing approaches are being used for Big Data Processing. With the splurge data from different newer sources, heterogeneous nature of data, uncertain & unstructured data, the so called Big Data with all its characteristics (5 Vs) there is an ever increasing need to use approaches which aid in modelling and processing of these data, provide automated approach to data processing and so on. Thus the BDML conference series welcomes the scholars who are researching in this interesting & challenging domain of ML and Big Data Processing and provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data and Machine Learning.

Email.: Dunn@iact.net

Big Data; Machine learning;

AIGC 2024 will be a focal point for the latest advancements in Al-generated content. We believe this conference will provide a platform for participants to share cutting-edge information, ideas, and experiences in in Al-genelrated content and related fields. Your valuable contributions through papers and presentations,coupled with active participation, will undoubtedly enhance the overall success of the event.

Conference Secretariat;     Tél.: [+86-15618780723];     Email.: contact@icaigc.org

T1: Foundations of AI Artificial General Intelligence Machine Learning Deep Learning Transformer Neural Networks T2: AI in Creative Expression Generative AI AI-generated Audio AI-generated Art AI-generated Image T3: Advanced AI Applications Natural Language Processing (NLP) Computer Vision Diffusion Models for Machine Learning AI in Robotics

International Academy of Computing Technology

2025 9th International Conference on Digital Signal Processing (ICDSP 2025) will be held in Chengdu, China during February 21-23, 2025. It is Co-sponsored by Southwest Jiaotong University and Xihua University, China, and technically supported by many universities and institutions.

Email.: Dunn@iact.net

MACHINE LEARNING AND STATISTICAL SIGNAL PROCESSING; DIGITAL AND MULTIRATE SIGNAL PROCESSING; DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS; SPEECH AND LANGUAGE PROCESSING; AUDIO AND ACOUSTIC SIGNAL PROCESSING;

International Association of Computer Science and Information Technology

The 7th International Conference on Computer Science and Technologies in Education (CSTE 2025) will be held in Wuhan, China during April 18-20, 2025. CSTE 2025 is sposored by Central China Normal University, China, hosted by Faculty of Artificial Intelligence in Education, Central China Normal University, China.

Email.: aimee@iacsit.net

Educational Technologies and Systems; Computer-supported Collaborative Learning and Social Computing; Artificial Intelligence in Education; STEM Education and Computational Thinking; Educational Data Mining and Learning Analytics; Innovative Technologies for Teaching and Learning;

Théorie de l'information, fondations de l'informatique,    Enseignement assisté par ordinateur