The advantages of the MARVEL framework perceived by end users in the field of urban security
Learn how the Municipality of Trento Local Police Command is utilizing AI in the MARVEL project to improve urban security and public space management.
Learn how the Municipality of Trento Local Police Command is utilizing AI in the MARVEL project to improve urban security and public space management.
Explore the challenges of AI bias and the steps taken by Project MARVEL to develop a lawful, ethical, and robust AI system, ensuring fairness and inclusivity in smart city applications.
Explore GPURegex, a powerful tool for accelerated pattern matching, and learn how it enhances MARVEL's E2F2C framework for rapid event identification using GPUs.
Did you hear about the AI Act? What are the main takeovers we should derive from it? Are standards a way forward or a pain?
Can we build and deploy a simple-to-use, cheap & functional UAV-based open-source 4G/5G relay network? The answer is yes!
Improving the performance of AI models when applied on highly compressed visual data requires specialized training.
Our blog is shortly describing DCASE2022 task on acoustic scene classification and submitted systems. It is based on the recently published paper in DCASE2022 Workshop, and results of the challenge have been published in the DCASE community website.
This article will explore how AI and other technologies can be applied to smart city management systems and help cities improve their operations, the quality of life for their citizens and save money
IoT-based traffic management solutions allow for the dynamic control of the traffic flow by onsite traffic officers through the Internet.
There is a growing demand for an environmental pollution monitoring and waste management system capable to detect and quantify the ever-increasing pollution sources.