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《天堂》开发商二次元新作！《阿索拉：星之祈愿》开启测试玩家招募_我的网站
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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.
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二 | 日前，韩国游戏公司NC推出的新作二次元角色扮演游戏《Astrae Oratio》（暂译：阿索拉：星之祈愿）正式开启非公开测试（CBT）参与者招募。
三 | 有意参与本次新作测试的用户可从8月19日起至9月21日中午11时，访问游戏官方网站的CBT申请页面进行报名。
四 | 被选中的玩家今后将在Android（AOS）及iOS等移动端环境下体验测试版本。具体的测试运营日程将于近期确定并公布。开发团队计划通过本次测试验证过程，展示独特的世界观与核心内容，同时收集参与用户的反馈意见，将其反映到后续的完善工作中。与招募日程同步公开的还有全新主视觉图。新发布的代表画面中，绘制了作品中的主要角色“日轮明 爱”（Hiwagiasia Akari），向用户传达了测试相关信息。此外，在CBT启动前，官方还一并公开了移动设备配置要求。推荐配置方面，Android需搭载骁龙 8 Gen 2以上、RAM 8GB、Android 14以上；iOS需A16以上、RAM 6GB、iOS 18.0以上。最低配置为骁龙 7 Gen 1以上、RAM 6GB、Android 12以上；iOS需A14以上、RAM 4GB、iOS 16.0以上。
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