Minimizing Wood Waste by Respecting Its Natural Form Through AI
Mass timber has emerged as a sustainable alternative to replace concrete components in construction, as the latter alone contributes to 8% of global CO2 emissions. With various examples across different scales and applications, the material has shown promise in revolutionizing the industry by enhancing efficiency, strength, and comfort. Even when dealing with highly standardized and efficient processes in the manufacturing of structural elements, there is always room for improvement and waste reduction. This is mainly because the traditional industrial process of cutting logs into parts can generate substantial waste.
Mass timber has emerged as a sustainable alternative to replace concrete components in construction, as the latter alone contributes to 8% of global CO2 emissions. With various examples across different scales and applications, the material has shown promise in revolutionizing the industry by enhancing efficiency, strength, and comfort. Even when dealing with highly standardized and efficient processes in the manufacturing of structural elements, there is always room for improvement and waste reduction. This is mainly because the traditional industrial process of cutting logs into parts can generate substantial waste.
In this context, A.I. Timber emerges as an innovative construction material designed to minimize waste by preserving the natural contours of trees. Instead of employing conventional methods that involve cutting individual logs into standardized boards, A.I. Timber ingeniously utilizes Artificial Intelligence to fit these logs together like pieces of a perfectly assembled puzzle. To gain further insight into this initiative and the future of this material, we spoke with Carlo Ratti and Mykola Murashko, who coordinated the project.