Did you hear about the AI Act?
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?
Open-source UAV 4G/5G base station
Can we build and deploy a simple-to-use, cheap & functional UAV-based open-source 4G/5G relay network? The answer is yes!
Accurate Deep Neural Networks for Processing Compressed Images in Smart Cities
Improving the performance of AI models when applied on highly compressed visual data requires specialized training.
Low-complexity acoustic scene classification in DCASE2022 Challenge
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.
Smart Cities Management Systems & AI
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
Moving towards Smart Cities: How can IoT improve traffic management and tackle traffic congestion?
IoT-based traffic management solutions allow for the dynamic control of the traffic flow by onsite traffic officers through the Internet.
IoT-based Air Pollution monitoring and Waste Management
There is a growing demand for an environmental pollution monitoring and waste management system capable to detect and quantify the ever-increasing pollution sources.
Apache NiFi ecosystem: Connecting the dots of the computing continuum
DatAna, the data management platform used in MARVEL is using behind the scenes a set of the Apache NiFi ecosystem of tools.
The Exascale Moment Finally Arrives
The race towards exascale computing began in June 2008, when Roadrunner became the first supercomputer ever to achieve one petaflop corresponding to one-thousandth of an exaflop.
Data-driven insights for efficient and safer road infrastructure. The case of Malta.
The main goal is not just the technology itself, but how it uses data monitoring and analysis, in order to implement mobility management measures that lead to a modal shift from privately owned motorized vehicles to active mobility.
