“声智融合、智启未来”全场景语音AI技术与产业发展战略研讨会在北京大学成功召开,开启语音交互的未来生活方式
Quick Answer
The 'Voice Intelligence Integration, Smart Future' seminar at Peking University showcased advancements in voice AI technology, featuring collaborations between SoundAI and leading firms like Huawei and ByteDance.
Quick Take
The 'Voice Intelligence Integration, Smart Future' seminar at Peking University showcased advancements in voice AI technology, featuring collaborations between SoundAI and leading firms like Huawei and ByteDance. The event highlighted a new AI Agent Mic that enhances office and daily life interactions through voice, bridging academic research and industry applications.
Key Points
- The seminar was co-hosted by Peking University and SoundAI, attracting industry leaders.
- The AI Agent Mic can record meetings and summarize information in real-time.
- It integrates core capabilities like openclaw for enhanced daily task management.
- The event marked a strategic collaboration to drive industrial upgrades through AI.
- SoundAI reinforced its leadership in acoustic AI technologies during the seminar.
Article Excerpt
From source RSS / original summary近日,由北京大学前沿工程博士联合会与声智科技(SoundAI)联合主办的“声智融合、智启未来”全场景语音AI技术与产业发展战略研讨会在北京大学圆满落幕。 值此北京大学建校128周年之际,活动汇聚了海淀区人才工作局、北京市科技装备业商会等政府机构代表,以及来自华为鸿蒙、字节跳动、中信证券等领军企业与金融机构的专家。 研讨会由声智科技首席产品官、北大光华校友黄赟贺担任主持。 作为主办方之一,北京大学前沿工程博士联合会充分发挥了北大在前沿工程学科上的深厚积淀与跨学科优势,致力于打通“学术—产业”双向通道。 联合会通过整合校内顶尖科研资源与前沿工程博士群体的产业经验,构建了高水平的产学研协同创新平台,旨在将实验室的前沿技术转化为驱动产业升级的核心动能。 活动现场展示的与声智科技联合创新研发的覆盖“办公+生活”全场景AI Agent Mic便是这一转化机制的成果体现。 在办公场景下,设备可实现会议信息的实时记录、深度总结梳理及战略报告的一键调用。 在生活场景中,接入openclaw、声智语音AI技术等核心能力,它则化身为日常事务、vibecoding、灵感速记的随身助手,实现替代键盘的语音交互新范式。
该产品的协同创新彰显了北京大学通过产教融合机制,赋能硬科技企业突破关键技术瓶颈的战略布局。 通过此次活动,声智科技进一步彰显了其在声学AI领域的专业引领力,而北京大学前沿工程博士联合会则成功搭建了连接基础研究与产业应用的桥梁,双方共同为全场景智能化协作提供了全新的技术范式与解决方案,助力新质生产力在人工智能领域的加速形成。
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from 雷峰网 AI
See more →
从诺奖项目到生成式药物设计,Latent Labs 创始人 Simon Kohl:AI 正在让生物学进入「可编程时代」 | CVPR 2026
Simon Kohl, CEO of Latent Labs, presented at CVPR 2026, highlighting how generative AI, including models like Latent-X1 and Latent-Y, is revolutionizing drug design by drastically reducing development times and costs, achieving up to 90% success rates compared to traditional methods. The transition from AlphaFold 2's structural predictions to autonomous design agents marks a pivotal shift towards programmable biology.

