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以下是本周的校园新闻
MCS
化学大四学生 Frank Hu 获得了匹兹堡分析化学家协会奖
Chemistry Senior Frank Hu Receives Society of Analytical Chemists of Pittsburgh Award
卡耐基梅隆大学大四学生 Frank Hu 获得了匹兹堡分析化学家协会颁发的大学化学奖，以表彰他使用机器学习增强计算化学中的半经验方法的研究。
了解更多:
https://www.cmu.edu/mcs/news-events/2022/0519_hu-chem-award.html
Carnegie Mellon University senior Frank Hu has received the College Chemistry Award from the Society of Analytical Chemists of Pittsburgh for his research using machine learning to enhance semiempirical methods of computational chemistry.
Learn More: 
https://www.cmu.edu/mcs/news-events/2022/0519_hu-chem-award.html
SCS
机器人专家开始编制可以用于训练自动驾驶 ATV 的数据
Roboticists Go Off Road To Compile Data That Could Train Self-Driving ATVs
卡耐基梅隆大学的研究人员驾驶着一辆全地形车，穿越了高高的草丛，松散的砾石和泥浆，以收集有关 ATV 如何与具有挑战性的越野环境交互的数据。
生成的数据集被称为 TartanDrive，包含了大约 200,000 个真实世界的交互。研究人员认为，就交互数量和传感器类型而言，这些数据是现实世界中最大的多模式越野驾驶数据集。这五个小时的数据可能有助于训练自动驾驶汽车在越野中的导航。
了解更多:
https://www.cs.cmu.edu/news/2022/tartandrive
Researchers from Carnegie Mellon University took an all-terrain vehicle on wild rides through tall grass, loose gravel and mud to gather data about how the ATV interacted with a challenging, off-road environment.
The resulting dataset, called TartanDrive, includes about 200,000 of these real-world interactions. The researchers believe the data is the largest real-world, multimodal, off-road driving dataset, both in terms of the number of interactions and types of sensors. The five hours of data could be useful for training a self-driving vehicle to navigate off road.
Learn More: 
https://www.cs.cmu.edu/news/2022/tartandrive
翻译 / 编辑 / 排版：方楠 Christine Fang
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