Neurons are the fundamental cells responsible for intelligence in animals and humans. They are not found in plants or simple organisms like bacteria, but they are present in all living beings that exhibit complex behaviors. From a biological standpoint, life evolved before intelligence, which emerged as an adaptive advantage through evolution. These insights inspired a group of researchers to create a new field of study in September 1987 called Artificial Life (Alife). A key figure in this movement in France published the first book on the subject, Artificial Life (Hermès, 1994). This was a time when artificial intelligence (AI) faced challenges, particularly after the failure of early systems that struggled with learning and adapting. Artificial neural networks, which mimic the brain's structure, were still not practical for real-world applications. The goal of Artificial Life, as defined by its main founder Christopher Langton, is to better understand life and complex systems in general. Researchers aim to abstract the basic principles that drive biological processes and recreate them, often using computers. Unlike traditional biological research, which breaks down complex phenomena into smaller parts, Artificial Life takes a synthetic approach, building complex systems from simple components. A central question in this field is whether life can exist on a medium other than carbon-based organic matter, such as the memory of a computer. Several studies have explored this question. In 1991, Tom Ray created a project called Tierra, a digital ecosystem where small pieces of code function like living organisms, copying themselves and competing for resources like memory and processing power. Ray observed the spontaneous emergence of digital parasites that hijacked other programs and more complex behaviors. In the late 1990s, a virtual ecosystem called LifeDrop simulated the evolution of artificial creatures in a drop of water, further exploring the boundaries of artificial life. The debate over whether life can exist in a computer hinges on a clear definition of life itself. There is no universal agreement on what constitutes life across all scientific disciplines. Similarly, the definition of intelligence is also contested, especially when applied to artificial systems. While some argue that AI can exhibit real intelligence, it remains distinct from human or animal intelligence. Current neuromorphic architectures, which aim to mimic the brain's structure, are still far from capturing the full complexity of biological intelligence.