Paper Contents
Abstract
This study highlights the transformative potential of AI in Android malware detection, and provides compelling answers to evolving cyber security challenges. Achieving remarkable accuracy, the search further addresses issues related to reverse hits and ethical issues related to computer malware. Always adapting to emerging threats, AI- driven frameworks are poised to play a key role in strengthening Android environment against dynamic cyber threat panorama Artificial intelligence (AI) has emerged as a transformative force in human brain research in to decode neural structures, analyze complex neuroimaging datasets and predict neural states Deep learning, theory unambiguous, graph neural networks enabling images Using such sophisticated techniques, AI improves the accuracy of diagnostic tools, facilitates real-time neural decoding between brain and computer communications (BCIs), and automotive innovation in aerotherapeutics This technology enables researchers to model complex cognitive processes, identify biomarkers of neurodegenerative diseases and they are empowered to develop treatment plans Integrating AI into brain research also extends to multimodal data fusion, combining neuroimaging with genomics and proteomics to provide a comprehensive view of brain health Recent advances in interpretable AI (XAI). addresses interpretive challenges, enabling clinicians to make informed decisions that improve insights into neurological manifestations data processing Activated- neuromodulation- The technologies are optimizing medical applications for conditions such as epilepsy and depression by personalizing stimulation protocols based on real-time feeds.
Copyright
Copyright © 2024 Garima Saraswat. This is an open access article distributed under the Creative Commons Attribution License.
