Quantum Computing and the Future of Cryptography

Sustainable development is a model of progress that meets the needs of the present without compromising the ability of future generations to meet their own needs. Science contributes to this through the development of clean energy technologies, creation of biodegradable materials, modeling of climate change, and improving resource use efficiency.

Among the most promising areas are generative AI for scientific discovery and material design, neural networks capable of explaining their decisions (XAI), quantum algorithms for machine learning, and the integration of AI into smart city management systems and environmental monitoring to achieve sustainable development goals.

Digitalization is transforming science by providing access to big data, enabling complex computer modeling and simulations, accelerating collaboration through open platforms and cloud computing. This leads to the emergence of new disciplines, such as computational biology and digital humanities, and speeds up the cycle from hypothesis to discovery.

Key challenges include protecting astronaut health during long-duration flights, creating life support systems for lunar and Martian bases, developing cost-effective and reusable launch vehicles, addressing the problem of space debris in low Earth orbit, and finding ways to use in-situ resources (ISRU) for mission autonomy.

Synthetic biology is an engineering approach to biology aimed at designing and creating new biological systems or redesigning existing ones. Applications include the production of biofuels and biodegradable plastics, creation of new drugs and vaccines, development of microbes for environmental cleanup, and even engineering cells for precise drug delivery in the body.