伟德体育app.系列讲座菁英论坛第53期——Artificial Cortex from Evolution: Synthesizing Multimodal Intelligence for Next-Generation AI
报告题目(Title)：Artificial Cortex from Evolution: Synthesizing Multimodal Intelligence for Next-Generation AI
时间 (Date & Time)：2026.08.11 10:00 am – 11:00 am
地点 (Location)：理科五号楼410, Room 410 Science Building No.5
主讲人 (Speaker)：Lin Gu (Tohoku University)
邀请人 (Host)：Chenren Xu
报告摘要 (Abstract)：
“Artificial Cortex from Evolution” seeks to design a next-generation artificial cortical architecture inspired by natural evolution. By emulating the robustness and adaptability of biological neural systems, this work aims to develop AI systems with human-like cognitive capabilities, minimizing reliance on human annotation.
This research is built upon three key pillars: (1) Computational Photography, which enables the extraction and reconstruction of physical properties from visual data; (2) Human Gaze-Based Attention Mechanism, which aligns AI perception with human cognitive processes to enhance interpretability and efficiency; and (3) Multi-Modal Large Language Models (LLMs), which integrate diverse data modalities for advanced reasoning and understanding. By synthesizing these foundations, we propose an artificial cortex capable of learning from multimodal inputs, with broad applications in Medical AI, Nuclear Fusion, and Human-Friendly Physical AI, demonstrating its transformative potential in addressing critical global challenges.
主讲人简介(Bio)：
Dr. Lin Gu is an assistant professor at Tohoku University, Japan. Before, he is a research scientist at RIKEN AIP, Japan and a special researcher at the University of Tokyo. He is with specific interest and expertise in the application of Artificial Intelligence in Medical Imaging and Computational Photography. Before moving to Japan, he was a postdoctoral research fellow at A*STAR, Singapore working on machine learning on biomedical imaging. He is now the project manager for Moonshot Program on Continuous Learning and Memory Mechanism and ACT-X Program on Gaze Assisted AI. His research interest lies in simulating human’s neocortex to enhance AI, especially its application in medical fields.
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