IEEE Future Technology Summit 2026 (delivered on-site in Japan)

AI is entering a new phase. The next wave of value creation will not come only from larger models, but from the successful integration of AI into real-world systems. This requires reliable computing infrastructure, trustworthy AI models, domain-specific data, robust testing, safety assurance, standards alignment, and business models that can support large-scale adoption.

IEEE FTS 2026 will explore these challenges through three focused sub-summits:

1. AI Testing Summit

The AI Testing Summit will focus on the testing, validation, quality assurance, and certification of AI systems. As AI becomes embedded in autonomous systems, industrial platforms, healthcare, mobility, robotics, and smart infrastructure, testing must evolve from traditional software QA to intelligent system-level assurance.

Key topics may include:

• AI model testing, benchmarking, and evaluation
• Testing of large language models, AI agents, and multimodal AI systems
• AI system reliability, robustness, safety, and explainability
• AI testing automation and simulation environments
• Quality assurance for intelligent and service-oriented systems
• AI governance, standards, compliance, and certification
• Testing frameworks for AI chips, edge AI platforms, and deployed AI systems

This summit will provide a forum for researchers, engineers, standards leaders, and industry practitioners to discuss how to build trustworthy AI systems for real-world deployment.

2. AI for Automobile Summit

The AI for Automobile Summit will focus on the role of AI in next-generation vehicles, intelligent mobility, smart cockpit systems, autonomous driving, connected vehicles, and software-defined vehicles.

The automotive industry is becoming one of the most important vertical markets for AI. Future vehicles will require deep integration of sensing, edge computing, AI chips, real-time operating systems, connectivity, safety control, and intelligent user interaction.

Key topics may include:

• AI chips and edge computing for intelligent vehicles
• Smart cockpit and human-machine interaction
• Autonomous driving and advanced driver-assistance systems
• Vehicle perception, sensor fusion, and decision intelligence
• AI-based vehicle testing, simulation, and safety validation
• Connected vehicles, V2X, 5G/6G, satellite communication, and secure mobility
• Software-defined vehicles and AI-enabled automotive platforms
• Investment and commercialization opportunities in automotive AI

This summit will connect automotive technology leaders, AI researchers, semiconductor companies, mobility innovators, investors, and standards experts to discuss the future of intelligent transportation.

3. AI in Robotics Summit

The AI in Robotics Summit will focus on the convergence of AI, robotics, edge intelligence, embodied AI, machine perception, motion control, and autonomous operation.

Robotics is rapidly evolving from programmed automation to intelligent physical agents capable of perception, reasoning, interaction, and adaptive control. This transformation requires progress across the full stack: AI chips, sensors, control systems, foundation models, vision-language-action models, reinforcement learning, and real-world testing.

Key topics may include:

• AI chips and edge AI platforms for robotics
• Embodied AI and vision-language-action models
• Robotic perception, planning, control, and learning
• Industrial robots, service robots, humanoid robots, and autonomous machines
• AI-enabled motion control and real-time decision systems
• Robotics safety, testing, certification, and standards
• Human-robot collaboration and trusted autonomous systems
• Robotics investment, commercialization, and ecosystem development

This summit will provide a platform for the robotics community to explore how AI can accelerate the transition from automation to intelligent autonomy.