Efficient & Responsible AI - R&D Challenges Summit
The AI Industry – Academia Summit - Foundational for AI leadership!
We are excited to announce the AI Industry–Academia Summit 2026, a premier gathering of technology leaders, AI and data science experts, researchers, and developers from both industry and academia.
This full-day summit will explore cutting-edge AI innovations and real-world applications, fostering dialogue and collaboration across sectors. Attendees will share case studies, research, and implementation insights in key AI domains that are shaping the technological landscape.
As AI systems increasingly evolve toward large language models (LLMs) and agentic, autonomous architectures, efficiency, performance, and scalability have emerged as core research and engineering priorities. Continuously operating agents that orchestrate multiple models, tools, and data sources can rapidly increase computational cost, latency, energy consumption, and system complexity if not carefully designed. Addressing these challenges requires optimized model and system architectures, rigorous evaluation and benchmarking, and resource-aware approaches that enable real-time performance, reliability under load, and economically viable deployment at scale.
Within this broader efficiency-driven context, the Summit highlights key R&D challenges that accompany the deployment of powerful LLM- and agent-based systems. These include, among others, Responsible AI considerations such as safety, transparency, robustness, bias mitigation, governance, and effective human–AI collaboration. By examining efficiency and Responsible AI side by side—as complementary dimensions of real-world AI systems—the Summit brings together researchers and practitioners to share insights, trade-offs, and solutions that support scalable, high-performance, and trustworthy AI in production environments.
