Why attend this computer science conference?
Ingenious Ideas
Insightful, unique and novel approaches to some of the world’s toughest problems are discussed at this Cloud Computing Conference.
Focussed Networking
Provides a free and open atmosphere where attendees talk and engage in creative ways at this HPC Conference.
Expert Speakers
Our speakers represent the cream of computing research and development practitioners.
International Audience
Join 60+ Countries on Cloud Computing, and HPC Conferences.
About the Computing Conference
Computing Conference (formerly called Science and Information (SAI) Conference) is a research conference held in London, UK since 2013. The computer science conference series has featured keynote talks, special sessions, poster presentation, tutorials, workshops, and contributed papers each year.
The goal of this computer science conference is to be a premier venue for researchers and industry practitioners to share new ideas, research results and their enriching experiences in various fields. In addition, this computer science conference showcases breakthroughs in computing developments, advancements, and applications. Its main highlights are:
- Talks by industry experts on the state-of-the-art in Computing
- Lectures by eminent scientists designed to inspire and inform
- Presentations by innovative researchers coming from 50+ countries
- Discussion-oriented sessions and networking breaks to enable collaborations
Join us to experience a world-class Cloud Computing Conference and HPC Conference designed to inspire and drive the next wave of technological breakthroughs.
2024 Keynotes
John Shalf (Berkeley Lab)
Liangxiu Han (Manchester Metropolitan University)
Giancarlo Guizzardi (University of Twente)
Chris Mitchell (Royal Holloway)
Conference Tracks
Future Computing Architectures
- Quantum Computing
- High Performance Computing (HPC)
- Edge and Fog Computing
- Cloud Computing
- Neuromorphic Computing
- Heterogeneous Systems
- Cyber-Physical Systems
- Green Computing
- Human-centred Computing
- Digital Twins
AI & Machine Learning
- Deep Learning
- Large Language Models (LLMs)
- Foundation Models
- Federated and Distributed Learning
- Agents and Multi-agent Systems
- Explainable AI
- Causal AI and Reasoning
- Computational Optimization
- Swarm Intelligence
- Computational Optimization
Computer Vision
- Human-Computer Interaction (HCI)
- Image and Video Analysis
- Multimodal Interaction Systems
- Gesture and Voice Interfaces
- Spatial Computing
- Brain-Machine Interfaces
- Assistive and Adaptive Interfaces
- Augmented Reality (AR)
- Virtual Reality (VR)
- UX and Design in AI Systems
Data Science
- Big Data
- Predictive Analytics
- Data Fusion
- Sentiment Analysis
- Natural Language Processing
- Information Retrieval
- Synthetic Data Generation
- Data-centric AI
- Data Mining
- Data Governance
Intelligent Systems
- Robotics and Automation
- Human-Robot Interaction
- Brain-Computer Interfaces
- 5G/6G Network Evolutions
- Autonomous Vehicles and Drones
- Affective Computing
- Cognitive Architectures
- Robot Perception and Navigation
- Embodied AI
- Bioinformatics
Cybersecurity, Privacy & Trust
- Cryptography
- AI for Cybersecurity
- Intrusion Detection
- Secure Protocols
- Privacy-preserving Machine Learning
- Bias Mitigation
- Zero Trust Architectures
- Blockchain and Decentralized Security
- Post-Quantum Security
- Surveillance, Ethics, and Regulation
Computing for Society
- Smart Cities
- Intelligent Transportation Systems
- Smart Grids and Energy Networks
- AI for Climate Modeling
- Green ICT
- Ambient Assisted Living
- Wearable Technology
- Tech for Public Health
- Digital Transformation
- Ethical AI
Technology-enhanced Education
- Intelligent Tutoring Systems
- Adaptive Learning Platforms
- VR/AR in Education
- Mobile and Ubiquitous Learning
- Collaborative Learning
- Data-Driven Education
- Gamified Learning Environments
- Cognitive and Affective Models
- Learning Analytics
- Educational Technology Design