Computer Vision News 14 Congrats, Doctor Daniele! The recent progress in Computer Vision is driven by data growth, computational advancements, and a scientific focus on innovative but increasingly complex AI algorithms like Large Vision Models. These algorithms require huge computational power, incurring high costs and energy usage, which raise environmental issues and restrict technology access and affordability. Edge AI addresses these issues by providing decentralized AI solutions suitable for low-cost edge devices, despite challenges in developing AI models balancing execution speed and accuracy on low-power devices. Daniele Berardini recently completed his PhD with the Vision Robotic and Artificial Intelligence (VRAI) group at Università Politecnica delle Marche, receiving his degree cum laude. His thesis focused on developing Edge AI-enabled monitoring systems. He is now a Postdoctoral Researcher, still at UNIVPM. Congrats, Doctor Daniele!
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