Our newest AI Quest: Mapping the human brain
Our newest AI Quest: Mapping the human brain
我们的最新人工智能探索：绘制人脑地图
Our third lesson in our AI Quests series, “Polar Peaks,” teaches students key AI literacy skills while delving into neuroscience.
我们人工智能探索系列课程的第三课“极地高峰”（Polar Peaks），在深入探讨神经科学的同时，向学生传授关键的人工智能素养技能。
Google Research and the Stanford Accelerator for Learning just launched “Polar Peaks,” an interactive quest that teaches students ages 11 to 14 how to map the human brain using artificial intelligence.
谷歌研究院（Google Research）与斯坦福学习加速器（Stanford Accelerator for Learning）刚刚推出了“极地高峰”，这是一项互动式探索任务，旨在教导 11 至 14 岁的学生如何利用人工智能绘制人脑地图。
This program helps students practice data cleaning and model testing while emphasizing the need for human oversight in technology.
该项目帮助学生练习数据清洗和模型测试，同时强调了技术中人工监督的必要性。
Today, we’re launching “Polar Peaks”, our third quest in the AI Quests series, created by Google Research and the Stanford Accelerator for Learning to teach students how AI works and how to use it responsibly.
今天，我们推出了“人工智能探索”系列的第三项任务“极地高峰”。该任务由谷歌研究院和斯坦福学习加速器共同创建，旨在教导学生人工智能的工作原理以及如何负责任地使用它。
AI Quests invites students ages 11 to 14 to step into the shoes of Google researchers to tackle some of humanity’s biggest challenges. More than 400,000 quests have been completed to date, localized to 10 languages.
“人工智能探索”邀请 11 至 14 岁的学生扮演谷歌研究人员的角色，去应对人类面临的一些重大挑战。迄今为止，已有超过 40 万次探索任务完成，并已本地化为 10 种语言。
In the first two quests, students tackle flood forecasting and eye disease detection, inspired by Google Research’s Flood Forecasting initiative and AI model for diabetic retinopathy screening.
在前两项任务中，学生们处理了洪水预报和眼部疾病检测问题，这些任务的灵感分别来自谷歌研究院的洪水预报计划和糖尿病视网膜病变筛查人工智能模型。
Our newest quest, “Polar Peaks,” has students travel to the frontiers of neuroscience and see how AI can speed up scientific research. With the guidance of in-game mentors, students scan and map the neurons in the brain to better understand the game character’s memory loss.
我们最新的任务“极地高峰”让学生们走进神经科学的前沿，了解人工智能如何加速科学研究。在游戏导师的指导下，学生们扫描并绘制大脑中的神经元，以更好地理解游戏角色的记忆丧失问题。
They complete tasks like data cleaning and model testing, learning firsthand that AI requires careful human oversight and critical thinking.
他们通过完成数据清洗和模型测试等任务，亲身体验到人工智能需要谨慎的人工监督和批判性思维。
The quest is inspired by over a decade of our research in connectomics: the science of mapping neural networks in the brain. Upon completion of the quest, students hear from two researchers behind our real-world breakthroughs, including the recent mapping of the complete fruit fly brain, the largest brain map by number of neurons to date.
这项任务的灵感源于我们在连接组学领域十多年的研究，即绘制大脑神经网络的科学。任务完成后，学生们将听到两位参与我们现实世界突破的研究人员的分享，其中包括最近完成的果蝇全脑绘制，这是迄今为止神经元数量最多的大脑图谱。
Teachers play a critical role in bringing the quests to life and fitting them into their existing classroom curriculum. We’re rolling out new dedicated teacher training modules to help educators reinforce key AI literacy concepts and use AI Quests for learning and discussion.
教师在使这些探索任务变得生动并将其融入现有课堂课程方面发挥着关键作用。我们正在推出新的专门教师培训模块，以帮助教育工作者强化关键的人工智能素养概念，并利用“人工智能探索”进行学习和讨论。