AI refers to the simulation of human intelligence in machines programmed to think like humans and mimic their actions. In the context of toxicology, AI can help in automating data analysis and decision-making processes. ML, a subset of AI, involves training algorithms on large datasets to identify patterns and make predictions without explicit programming. In toxicology, ML can predict the toxicity of compounds by learning from existing data.
