NeuroAI: Emerging Artificial Intelligence and Image Processing Techniques in Neuroscience for Enhanced Medical Diagnosis of Brain Tumor

The combination of Artificial Intelligence (AI) and Neuroscience speaks to an advantageous relationship with significant suggestions. AI, a multidisciplinary field in CS which points to imitate insights in machines, whereas Neuroscience explores the brain's structure and cognitive capacities. The union of these disciplines has driven to shared headways. Neuroscience has altogether affected AI, motivating profound neural systems based on natural neural systems. AI exceeds expectations in assignments such as NLP, object detection, and speech recognition. AI, drawing from neuroscience, utilizes support learning standards watched in people and creatures to create autonomous algorithms. AI's capacity to analyze complex information and reveal unapparent design is important for interpreting neuroscience information. AI interfaces can extricate neural signals from the human brain and interpret them into commands for gadgets like automated arms, supporting those with versatility impediments. AI moreover contributes to restorative areas, analyzing neuroimaging information and supporting early discovery of neurological disarranges. This paper conducts a comprehensive audit and usage of the AI and neuroscience cooperative energy, particularly brain tumor, emphasizing their merging for untimely revelation and forecast of neurological clutters. This paper primarily centers on early identifying and localizing the brain tumor locale utilizing division of patient's MRI pictures.