黑吃黑
大学生暑期返乡社会实践活动启动_我的网站
一 | 本网讯 特约记者张振贺报道 为了引导和鼓励青年学子回到家乡参与实践活动，服务家乡的建设与发展，激发高校毕业生到基层就业创业的热情，7月15日，团建昌县委举办了2024年暑期大学生“返家乡”社会实践活动的启动仪式暨岗前培训动员部署会。县内各实践单位的代表及所有参与实践的大学生共计50余人参加会议。
A Chinese research team from Nanjing University has developed a new ultra-low-power intelligent vision sensor chip, dubbed "LightTok," that can convert light signals into tokens within the sensor, significantly reducing the high energy consumption caused by frequent transfers of massive amounts of redundant data, the principal investigator told the Global Times.
According to a release from the Institute of Brain-Inspired Intelligence of Nanjing University, tokens generated by the LightTok chip can be directly fed into a Transformer encoder for image recognition.
"Our design idea was to move token generation onto the sensor itself, allowing the chip to directly produce tokens that AI models can process once light reaches the sensor," Miao Feng, director of the Institute of Brain-Inspired Intelligence at Nanjing University, told the Global Times on Thursday. "These tokens contain complete image information."
Physical AI refers to intelligent systems capable of autonomously perceiving, reasoning, acting and receiving feedback in the real world, representing a key pathway for AI to move from the digital realm into the physical world. Vision-based physical AI systems powered by large AI models need to convert visual information from real-world environments into tokens that can be processed by AI models before feeding these tokens into Transformers for subsequent tasks.
In traditional visual perception pipelines, light signals must go through multiple stages, including image sensing, analog-to-digital conversion, data buffering and transfer, digital image patching and embedding, before being transformed into tokens that AI models can process. The frequent transfer of massive amounts of redundant data has resulted in high energy consumption at the edge, according to a report by Science and Technology Daily.
The LightTok chip directly addresses a key challenge in physical AI hardware: how to efficiently acquire and tokenize visual information from the physical world with low energy consumption, Miao said.
The LightTok chip consists of a photosensitive memory array and peripheral circuits. The team built the array based on single-layer molybdenum disulfide (MoS₂) floating-gate phototransistors, with each pixel capable of sensing light, storing information and performing analog computing. By processing optical information directly within the chip, the device can convert captured visual signals into tokens for AI models, according to the research team.
The current LightTok prototype has a resolution of 32×32 pixels, or 1,024 photosensitive pixels, which is still smaller than that of smartphone cameras and industrial imaging systems. However, Miao said the technology is compatible with CMOS manufacturing processes and can be scaled up. With wafer-level growth of molybdenum disulfide materials, the chip could potentially achieve a scale comparable to existing imaging devices.
Miao said the chip also draws inspiration from the information-processing mechanism of human vision. Similar to how the retina extracts key visual information before transmitting it to the brain, the chip also aims to process visual information at an early stage.
The research was conducted in collaboration with another research team from the National University of Singapore. The findings were published on Wednesday in Nature Sensors, an internationally renowned journal in the field of sensing technology, according to the release.
Potential applications for LightTok include drone systems, autonomous remote sensing and small-scale embodied AI systems, Miao said. In these scenarios, devices need to continuously detect, understand and track targets, generating massive amounts of visual data. By reducing the energy required for visual processing, the technology could extend the operating time of drones, satellites and small robots with limited power supplies, the expert said.
。 会上，县税务局实习生王雨晴作为学生代表发表了表态发言。她承诺将珍惜这次实践机会，勇于接受挑战，不断提升自己，并以当代大学生应有的责任感，高质量地完成实践任务，全力以赴为家乡的发展贡献力量。 县妇联相关负责人表示，各个单位将结合自身的工作实际，为青年学子们提供一个“受到教育、增长知识和作出贡献”的广阔平台。希望同学们在实践岗位上能够勤奋实践，勇于探索，提高思想认识水平和服务社会的能力，通过实践获得成长并为家乡作贡献。 团县委相关负责人在动员讲话中对参加此次社会实践的大学生表示欢迎，并提出了几点希望：一是珍惜这次机会，积累经验，结合实践发挥专业特长；二是勇于创新，敢于担当，以实际行动服务家乡发展；三是严格遵守纪律，安全实践，充分展现当代青年的精神风貌；四是重视总结，提升自我，不断提高个人的综合素质和能力水平；五是心系家乡，热爱故土，用所学知识回报家乡、服务家乡。 会议结束后，团县委组织参与社会实践的大学生在县城周边开展了人居环境整治志愿服务活动。集中清理了县城周边道路和树林中的垃圾杂物，改善了人居环境卫生，以实际行动支持全县文明城市的创建。 据悉，团县委将继续发挥团组织引领青年、服务青年的职能，持续关心和支持青年学子的成长与发展，引导青年学生树立坚定的理想信念，激发他们投身基层、服务家乡的深厚情感，推动共青团实践育人工作的成效不断加强，吸引更多人才认识建昌、了解建昌、扎根建昌，为建昌县的高质量发展贡献青春力量。
Current article:http://www.tourunbiaodubaicubangninan.shop/a67/r0fi.html
Published on:16:17:02