HPC, Quantum Computing, Artificial Intelligence, Big Data

Developing new technologies means building infrastructure and skills, balancing the risks of overuse or misuse with those of underutilization.

IFAB promotes projects exploring the advanced use of technologies such as High-Performance Computing (HPC), Quantum Computing, Big Data, and Artificial Intelligence (AI). A responsible and innovative use, combined with an accurate risk balance, contributes to building a sustainable and competitive future through projects aimed at building infrastructure and developing skills.

Potential and Challenges of New Technologies

Artificial Intelligence and Big Data

AI and Big Data are essential tools for industries and Small and Medium-sized Enterprises (SMEs). AI can improve automation, machine learning and robotics; Big Data is the foundation of analysis and technological development. However, their use needs to be regulated to ensure privacy protection.

Supercomputing and Quantum Computing

With Supercomputing and Quantum Computing, complex scientific challenges can be tackled by managing an increasingly interconnected system. High Performance Computing (HPC), for instance, uses parallel computing to efficiently solve complex problems, opening new opportunities in weather forecasting and climate change prevention, development of new materials, vehicle aerodynamics, and energy efficiency for buildings and parts of cities. Quantum Computing, although still in its early stages, promises to solve specific problems that are currently unmanageable, offering new applications in fields such as chemistry, biology, and medicine.

As technologies advance, two main risks emerge:

  • Overuse or misuse: exclusive dependence on technologies for many activities, with potential abuses by governments and companies.
  • Underutilization: failing to fully exploit available technologies due to uncertainties about impacts and consequences.

Finding the right balance is crucial to turn these risks into opportunities. It is important to understand the potential harmful effects of the digitalization process to prevent compromising its socio-economic benefits.

Regulation and Access

Regulation supports the development and prevents the abuse of these technologies. It is up to the institutions to outline a clear regulatory framework. Simultaneously, it is essential to ensure easy access to data and provide open platforms for their use. This facilitates the creation of useful applications and improves citizens’ decision-making capacity.

Training and Collaboration

In order to develop technological skills, investment in training and education is necessary. Creating a new class of experts and bridging the gap between academia and the private sector is essential. Furthermore, promoting collaboration between young researchers and businesses helps transfer knowledge and develop ambitious projects.

Future Opportunities

The opportunities offered by HPC, Quantum Computing, Big Data, and AI are immense: improve climate forecasting and management, support the design of innovative drugs, and revolutionize the industry. However, their beneficial development requires addressing national security and privacy risks.

Learn more about funded projects in this domain:

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