Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has rapidly advanced in recent years. This progress owes much to the availability of extensive data, powerful computing devices, and innovative algorithms. Life sciences explore the study of living organisms and their interactions with the environment. These disciplines seek to unravel the mechanisms of life, enhance human health, and address global challenges such as food security. In this review we investigate the contributions of AI to various domains within life sciences, including drug discovery, genomics, marine biology, and education. Additionally, we address the challenges related to integrating AI into life sciences applications. Furthermore, we reflect on the ethical and social implications of AI deployment, emphasizing the need for responsible and transparent utilization of this powerful technology.