Emerging Talents Initiative Grant to Dario Zanca’s Project on Human-Inspired Computer Vision

We are thrilled to announce that Dario Zanca has received the Emerging Talents Initiative (ETI) funding in 2023 for the preparation of a research project that aims to advance research in human-inspired deep learning systems and their implications in terms of behavioral plausibility, robustness, and understanding of the human visual system.

Dario’s work focuses on incorporating human-inspired constraints into machine learning algorithms, specifically in the context of vision systems. By incorporating the biology of the human eye, such as foveate vision and attention mechanisms regulating eye movements, Dario aims to develop a self-learning system that can perceive and process information with limited resources, similar to how the human visual system operates. This approach has the potential to enhance the reliability and generalization capabilities of machine learning models, bridging the gap between artificial intelligence and human visual perception.

The grant funding received by Dario will undoubtedly propel his research forward, paving the way for future advancements in human-inspired computer vision and its practical applications in real-world scenarios.