首届"脑机智能与心脑健康创新发展及应用论坛"在厦门大学科学艺术中心圆满落幕。本次论坛以"脑机 智能·赋能心脑健康"为主题，由福建省人工智能学会、厦门大学信息学院联合主办，厦门大学脑认知与 智能计算实验室与厦门狄耐克智能科技股份有限公司（以下简称"狄耐克"）承办。活动汇聚了国内外顶 尖专家、行业领袖及政企代表，共同探讨脑机接口技术的前沿突破与产业应用，标志着该领域正式迈入 产学研医深度融合的新阶段。 政策赋能，脑机接口驶入产业快车道 论坛开幕式上，厦门市科学技术局副局长曹伟民指出，脑机接口作为国家战略性新兴产业，正加速成为 培育经济新动能、提升国际竞争力的核心领域。此次论坛不仅为行业前沿探索注入新动力，更为厦门市 前沿科技布局与产业融合发展提供了关键契机。厦门大学信息学院副院长袁飞进一步强调，脑机智能作 为多学科交叉的前沿方向，已在医疗健康、认知增强及疾病干预等领域实现革命性突破，呼吁各界协同 推进技术创新与产业化落地。 权威共议，解码脑机接口未来趋势 论坛期间，多位国内外权威专家围绕脑机接口技术的创新应用展开深度探讨。新加坡工程院院士、南洋 理工大学人工智能研究院院长关存太指出，脑机接口技术通过优化数据采集与 ...

Group 1: Core Insights - The 27th China Association for Science and Technology annual meeting released 30 significant scientific and engineering challenges, focusing on future technology development trends [1][2] - Many of the identified challenges involve the intersection of artificial intelligence with various disciplines, highlighting the growing importance of AI in scientific research [2][3] Group 2: Key Scientific Issues - The top scientific issue identified is the development of a new theoretical framework and protective system for AI security based on cryptography, addressing the increasing security concerns in AI applications [2] - The challenges in the communication field include theoretical, intelligent, and flexible bottlenecks, with the proposed "intelligent simplified network technology system" aiming to enhance communication efficiency through AI integration [3] Group 3: Engineering and Industrial Challenges - The "brain function assessment and brain-machine intelligent closed-loop intervention" challenge aims to improve recovery efficiency for stroke patients through AI and multimodal neuroimaging technologies, potentially leading to advancements in related industries [3] - The initiative also emphasizes collaboration between strategic scientists and young technology talents, fostering the development of innovative solutions to meet national needs [4]