Antonio Purificato

Antonio Purificato, a PhD student from Sapienza University of Rome and researcher at Amazon, discusses groundbreaking work in eco-aware graph neural networks. He delves into the environmental costs of traditional recommendation systems and presents innovative methods to model user-item relationships with sustainability in mind. Topics include the Code Carbon framework for monitoring energy consumption and the balance between algorithmic performance and ecological responsibility. Antonio highlights the need for eco-friendly practices in AI as the tech world strides forward.