News & Activities

The 5th International Conference on Computer Applications Technology (CCAT 2026) Fukuoka, Japan during December 18-20, 2026.https://ccat.org/index.htmlThe conference is sponsored by Okayama University, Japan. It is technically sponsored by Concordia University, Canada; Loughborough University, UK; and National Taiwan University of Science and Technology, Taiwan.CCAT 2026 offers a platform for researchers and practitioners to exchange ideas on innovative uses of computers, the Internet, and software tools. It also addresses technology integration in engineering education and related assessment and dissemination issues.The conference aims to bridge academia and industry, facilitating knowledge exchange and research-to-industry dialogue. Professionals, industrialists, and students are welcome to share their research experiences and engage in interactive sessions.Important DatesSeptember 10th, 2026 Full Paper SubmissionOctober 5th, 2026 Notification DateOctober 20th, 2026 Registration DeadlineNovember 10th, 2026 Camera ReadyPapers and Proceedings Papers will undergo double-blind peer review by the technical committee. Accepted and presented papers will appear in the ACM ICPS, be archived in the ACM Digital Library, and be indexed in Ei Compendex, Scopus, and submitted for Thomson Reuters ISI Web of Science review. Call for PapersThe conference aims to share and disseminate, to all branches of industries, information on the most recent and relevant research, theories and practices in Computer Applications Technology. We welcome papers in, but not limited to, the following areas:Topic 1: Software Engineering and Modern DevelopmentSoftware Requirements and EngineeringSoftware Architecture, Design Patterns, and MicroservicesModern Programming Paradigms and LanguagesSoftware Quality Assurance, Verification, and ValidationEmpirical Software Engineering and MetricsFormal Methods in Software EngineeringAI-Augmented Software EngineeringSoftware Engineering for AI SystemsEmbedded, Real-Time, and Cyber-Physical Systems SoftwareMobile, Web, and Cross-Platform Application DevelopmentGame Design, Development, and Engine TechnologySustainable and Green Software Engineering Topic 2: Artificial Intelligence and Computational IntelligenceMachine Learning, Deep Learning, and Neural NetworksEvolutionary Computing and Meta-heuristic OptimizationNatural Language Processing and Large Language ModelsComputer Vision, Image, and Video ProcessingIntelligent and Adaptive Human-Computer InteractionFoundation Models, Generative AI, and Multimodal LearningExplainable AI, AI Safety, Fairness, and EthicsBig Data Analytics, Mining, and ManagementAI for Scientific Computing and DiscoveryAI in Healthcare, Bioinformatics, and Biomedical ApplicationsAI for Environmental Science and Sustainability Topic 3: Intelligent Systems and Industrial Informatics (Industry 4.0/5.0)Smart Manufacturing, Production, and Process ControlPredictive and Prescriptive MaintenanceIndustrial Internet of Things and Smart Sensor SystemsRobotics, Autonomous Systems, and Flexible AutomationMixed, Augmented, and Virtual Reality in IndustryIndustrial AI and Cognitive ManufacturingDigital Twins and Cyber-Physical Production SystemsSupply Chain Optimization and Cost ModelingSmart Cities, Urban Informatics, and Connected InfrastructureConnected and Autonomous VehiclesSustainable Industrial Systems and Green Computing Topic 4: Computer Systems, Networks, and CybersecurityOperating Systems and Distributed SystemsComputer Networks, Communication Protocols, and Next-Generation InternetHigh-Performance, Parallel, and Cloud ComputingEdge, Fog, and Mobile Edge Computing ArchitecturesCybersecurity, Cryptography, and Network SecurityDigital Forensics, Threat Intelligence, and Intrusion DetectionInformation Security, Privacy, and Trust ManagementBlockchain, Decentralized Applications, and Web3 TechnologiesSocial Network Analysis, Security, and Misinformation DetectionNeuromorphic Computing and Brain-Computer Interfaces

The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)Conference Theme: "AI-Driven Innovations for a Sustainable Future"https://mlmi.netSubmission Deadline: February 5, 2026Notification Deadline: March 5, 2026Registration Deadline: March 20, 2026 We are thrilled to announce that the 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026) will be held in Tokyo, Japan, from July 17 to 20, 2026. Organized by Rikkyo University, Japan, MLMI 2026 will bring together leading researchers, academics, and industry professionals to explore the latest advancements in machine learning and machine intelligence. The conference will feature insightful presentations, engaging discussions, and vibrant networking opportunities, all set in the culturally rich city of Tokyo. MLMI 2026 aims to advance the field of machine learning and machine intelligence by fostering interdisciplinary collaboration and showcasing cutting-edge research. The scope of MLMI 2026 includes, but is not limited to, deep learning, reinforcement learning, natural language processing, computer vision, robotics, AI ethics, and the integration of machine intelligence in domains such as healthcare, finance, autonomous systems, and environmental sustainability. By providing a platform for knowledge exchange and collaboration, MLMI 2026 seeks to drive innovation and inspire the development of intelligent systems that benefit society.MLMI 2026 offers a unique opportunity to engage with the latest research, connect with global experts, and contribute to the future of machine intelligence. We invite you to join us for four days of learning and networking. You are guaranteed to leave the event with a suitcase full of knowledge and inspiration.Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published into Lecture Notes in Electrical Engineering (Electronic ISSN: 1876-1119 & Print ISSN: 1876-1100) as a proceedings book volume. The book series will be indexed by EI Compendex, SCOPUS, INSPEC, SCImago and other database.Topics of interest for submission include, but are not limited to:Track 1: Deep Learning and Neural Architectures Track 2: Reinforcement Learning and Sequential Decision Making▪ Architectural Advances ▪ Advanced Reinforcement Learning Algorithms▪ Efficient Training Techniques ▪ Multi-Agent Reinforcement Learning▪ Graph Neural Networks ▪ Time Series and Sequential Data▪ Generative Models ▪ Predictive Modeling▪ Neural Architecture Search ▪ Anomaly Detection▪ Transfer Learning ▪ Sequential Decision Making ▪ Real-Time AI Systems Track 3: Applied Machine Intelligence Track 4: Natural Language Processing and Multimodal Learning▪ Machine Learning in Healthcare ▪ Large Language Models▪ AI in Robotics ▪ Multilingual and Low-Resource NLP▪ AI for Cybersecurity ▪ Multimodal Machine Learning▪ Biometric and Behavioral Analytics ▪ Cross-Modal Retrieval and Generation▪ Industry-Specific Applications Track 5: Emerging Paradigms and Future Directions Track 6: Explainable, Ethical, and Human-Centered AI▪ Quantum Machine Learning ▪ Explainable AI (XAI)▪ Federated and Distributed Learning ▪ Ethical AI and Fairness▪ AutoML and Meta-Learning ▪ Privacy-Preserving Machine Learning▪ Sustainable and Green AI ▪ Human-Centered AI▪ Hybrid Models ▪ Augmented Intelligence