Introduction¶

Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as problem-solving, decision-making, learning, language comprehension, and pattern recognition. These systems rely on algorithms and models that enable them to learn from data and improve over time.

In the realm of science, AI is driving a transformation by enhancing research, analysis, and discovery processes. It plays a crucial role in analyzing vast datasets, modeling complex systems, and automating experimental tasks. Machine learning algorithms allow scientists to predict outcomes, identify hidden patterns, and expedite the discovery of new drugs, materials, and solutions to global challenges. AI also supports fields like climate modeling, genomics, and physics, where traditional methods face limitations in handling large volumes of data. By accelerating data-driven insights, AI is reshaping how scientific knowledge is advanced and applied.