Targeted analysis of artificial intelligence and neuroscience in each other's development

These days, the world of artificial intelligence (AI) has expanded a lot; So that it includes mobilephones that are in the hands of most people in the society to humanoid robots that can behavecompletely like a human. Today, artificial intelligence has expanded and empowered so muchthat in some tasks it works even better, faster and more accurately than the human brain, anissue that has worried many activists in this field about the future of humans. Despite all theserightful concerns, practically all the countries of the world are trying to take a step towardsimproving artificial intelligence by creating more accurate computer systems, and they are nottrying to prevent its progress! In fact, what encourages us to expand and improve theperformance of artificial intelligence is the variety of services that artificial intelligenceprovides to us humans. In critical fields like medicine and healthcare, the transparency andcomprehensibility of machine learning and artificial intelligence systems hold immenseimportance in garnering trust in their outcomes. Errors stemming from these systems, such asincorrect diagnoses or treatments, bear the potential for serious, even life-threateningrepercussions for patients. Consequently, Artificial Intelligence (AI) has emerged as a pivotalarea of investigation, focusing on unraveling the opaque nature of intricate and challenging-tocomprehendmachine learning models.

کلیدواژه ها:

Artificial intelligence ، machine learning ، neural networks ، neuroscience