When AI Turns on the Light:
Algorithmic Creativity in LED Lighting Design

This session would explore how Generative AI is revolutionizing thermal management in LED lighting design. Drawing from a Celera Thermal case study, we demonstrate how AI-driven generative design significantly reduces fixture mass—up to 30%—while maintaining optimal thermal performance. Using advanced simulation tools and hybrid engineering approaches, we highlight methods that cut material costs, shorten development cycles, and advance sustainability goals in lighting systems. Attendees will gain actionable insights into integrating AI into product development to create lighter, more energy-efficient, and eco-friendly luminaires. This presentation is ideal for engineers, designers, and decision-makers seeking innovative strategies for next-generation LED lighting solutions.

Learning Objectives

• Explain how Generative AI optimizes thermal design for LED lighting fixtures
• Analyze the impact of mass reduction on cost, performance, and sustainability in lighting systems
• Apply AI-driven generative design principles to accelerate product development and innovation in LED fixtures
• Evaluate hybrid engineering approaches combining AI tools and human expertise for advanced thermal management solutions