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“Smart Networks for a Sustainable Future: Energy, Water, Environment and Agriculture” | Series “Artificial Intelligence Interacting in the Physical World”

This panel explores how smart networks and artificial intelligence integrate different energy sources, adjust supply to real consumption, and promote efficiency in public lighting and buildings.

It will also cover smart water networks that detect losses and improve water management, as well as environmental monitoring systems that track air quality, noise, and carbon emissions—providing essential data to protect public health and the planet.

Read more information here.

Tech Families | Build a Weather Station

Part of the project “Engineering for Everyone”, this initiative invites parents, children, and families to explore technology together in a fun and interactive way.

In this activity, families will get hands-on and build their own weather station. Using an Arduino and sensors for temperature, humidity, and pressure, they will measure real-time atmospheric conditions and display the data on a small digital screen.

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"Artificial Intelligence in Healthcare: Diagnosis, Treatment and Personalized Care" | Series “Artificial Intelligence Interacting in the Physical World”

• Automatic diagnosis through medical image analysis (X-rays, CT scans, MRIs, mammograms);
• Early disease detection and diagnosis of rare conditions using AI analysis of large hospital and social data sets;
• Precision medicine combining genetic and medical history data for personalized treatments;
• Home monitoring with wearable devices for continuous and personalized care;
• Accelerated drug discovery through molecular interaction simulation;
• Robotic surgery for safer and more precise procedures;
• Optimized hospital management improving scheduling, logistics, and resource allocation.

Read more information here.

"Ethics and Social Responsibility of AI" | Series “Artificial Intelligence Interacting in the Physical World”

• Legal responsibility in cases of accidents involving autonomous systems;
• Privacy issues related to data collection by sensors in public and private spaces;
• Socioeconomic impacts of automation across different sectors;
• Ensuring fairness in access to and benefits from physical AI technologies;
• Transparency and explainability of decision-making systems that affect the physical world;
• Definition of ethical standards and the need for suitable national and international regulatory frameworks.

Read more information here