Latest research in Smartphone Memory Forensics focuses on leveraging AI-driven techniques, hybrid transformer models, and performance-optimized frameworks to enhance the acquisition, analysis, and interpretation of volatile memory from mobile devices. Studies emphasize live memory forensics, integrating artificial intelligence to improve accuracy and efficiency in detecting anomalies and extracting evidence from communication-based applications. Research also evaluates and compares widely used forensic tools such as MOBILedit, Oxygen Forensic, Autopsy, and Andriller, highlighting their capabilities and limitations. These advancements collectively aim to optimize real-time memory analysis, reduce investigation time, and provide more reliable, intelligent solutions for forensic practitioners handling Android and iOS devices.