AI conference
AIET 2026 isn’t merely another industry event-its the worlds open living room for fresh ideas, bold leadership, and cooperative thinking about the fast-moving story of artificial intelligence. Crafted to pull researchers, engineers, start-up dreamers, corporate chiefs, and policy shapers into the same space, the summit lets you dig into how AI and sister technologies are already reshaping work, health, art, and daily life.
Whether youre fine-tuning a deep-learning engine, sketching an ethics guide, rolling out a smart health app, or simply chasing a hunch about tomorrows tech, your path forward starts here. Over three eye-opening days you will break bread with trailblazers, attend visionary keynotes, scan the latest research, swap ideas around the globe, and leave with practical take-aways that will guide your project for years.
Show-and-tell isnt the goal; the real aim is to figure what intelligent tools ought to do-for people, businesses, and the planet-so that every advance moves us toward a fairer, cleaner future. Together we will weigh hard questions, spot shared opportunities, and imagine systems that tackle climate change, close knowledge gaps, and still respect individual dignity.
Come help build that future thoughtfully, responsibly, and side by side with old friends and new rivals at AIET 2026.
Key topics:
- AI in Healthcare
- Generative AI
- Robotics & Automation
- AI Ethics & Regulation
- AI in Industry 4.0
- Quantum Computing & AI
International Conference on Artificial Intelligence and Software Systems
The International AI Conference 2026 invites original research papers, case studies, and practical insights across Artificial Intelligence and Software Systems, bringing together academia, industry, and innovators.
The conference focuses on cutting-edge AI technologies, data-driven software solutions, and secure digital systems, with the following tracks:
Key topics:
- International Conference on AI & Software Systems.
- AI in Healthcare
- Generative AI
- Robotics & Automation
- AI Ethics & Regulation
- AI in Industry 4.0
- Quantum Computing & AI
AIET 2026 – Academic & Science-Oriented Conference Tracks
Track 1: Artificial Intelligence & Intelligent Software Systems
This track focuses on the design, development, and deployment of AI-driven software systems.
- Machine Learning & Deep Learning
- Generative AI & Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Computer Vision & Pattern Recognition
- Explainable & Responsible AI
- AI Algorithms & Optimization
- Intelligent Decision-Support Systems
Track 2: Robotics, Automation & Industry 4.0
Exploring software-controlled intelligent machines and smart automation.
- Intelligent Robotics & Autonomous Systems
- Human-Robot Interaction
- Industry 4.0 & Smart Manufacturing
- AI-Driven Automation
- Cyber-Physical Systems
- Digital Twins & Smart Systems
Track 3: Data Science & Advanced Analytics
Turning data into intelligence through analytical software frameworks.
- Data Mining & Knowledge Discovery
- Big Data Analytics
- Predictive & Prescriptive Analytics
- Statistical Modeling & Simulation
- Data Visualization & Storytelling
AI-Driven Analytics Platforms
Track 4: Data Analytics & Applied Data Science
Focused on practical analytics and real-world applications.
- Data Analysis using Python, R & SQL
- Dashboarding & Business Intelligence
- Real-Time Data Processing
- Data Quality, Governance & Management
- Analytics in Healthcare, Business & Research
- AI-Assisted Data Analysis
Track 5: Cybersecurity & Secure Software Systems
Addressing security challenges in AI-enabled and cloud-based systems.
- AI for Cybersecurity
- Threat Detection & Incident Response
- Network, Cloud & Application Security
- Data Privacy & Compliance
- Blockchain & Secure Systems
Adversarial AI & Secure AI Models
Track 6: SaaS, Cloud Computing & Software Engineering
Modern software architectures and scalable AI platforms.
- AI-Powered SaaS Applications
- Cloud Computing & DevOps
- Microservices & Scalable Architectures
- Software Testing & Quality Assurance
- SaaS Security & Compliance
- Software Product Design & UX
Track 7: Quantum Computing & Emerging Technologies
Next-generation computing and future software paradigms.
- Quantum Computing Fundamentals
- Quantum Algorithms & Quantum AI
- Hybrid Classical-Quantum Systems
- Edge AI & IoT
- Future Computing Architectures
Track 8: AI Applications & Digital Transformation
AI and software solutions across industries.
- AI in Healthcare & Pharma
- FinTech & Intelligent Financial Systems
- Smart Cities & Intelligent Infrastructure
- AI in Education & Research
- Enterprise AI Solutions
- AI for Sustainability
Track 9: Ethics, Policy & Responsible AI
Ensuring trust, fairness, and sustainability in AI systems.
- Ethical AI & Fairness
- AI Governance & Regulations
- Human-Centered AI
- Privacy-Preserving AI
Social Impact of AI
Track 10: Research, Innovation & Case Studies
Showcasing academic excellence and industry innovation.
- Original Research Contributions
- Industry Case Studies
- Proof of Concept (PoC)
- Start-up Innovations
- Academia-Industry Collaboration
