「简报」Shapiro 州长访问卡耐基梅隆大学——人工智能的诞生地,签署关于生成式人工智能的行政命令;拓展:以新方式建模神经元
在 9 月 20 日,卡耐基梅隆大学校长 Farnam Jahanian 热烈欢迎了宾夕法尼亚州州长 Josh Shapiro 来到校园,签署行政命令,为联邦政府使用的生成式人工智能制定更负责任的标准和治理框架。此次活动还标志着 Josh Shapiro 和 CMU 之间的一项新的合作协议,致力于促进更负责任的人工智能工具的使用。
“当我们州政府服务的人民在日常生活中使用这些新技术,他们期待政府也能够适应和改进,以便我们能够更好地为他们服务。他们期待政府能够理解新技术,也能设置实际可行的、负责任的管控,以便他们能够在生活中更有效地使用技术。” Shapiro 说道,“作为一名政府领导人,多年来我逐渐了解到,我们需要依靠创新,学会以负责任的方式适应不断变化的技术环境……我们不想让人工智能凑巧发生在我们身上,我们要成为帮助发展人工智能的一部分,以造福我们的公民。“
了解更多:
https://www.cmu.edu/news/stories/archives/2023/september/gov-shapiro-visits-cmu-birthplace-of-ai-to-sign-executive-order-on-generative-ai
Carnegie Mellon University President Farnam Jahanian welcomed Pennsylvania Gov. Josh Shapiro to campus on Sept. 20 to sign an executive order to establish responsible standards and a governance framework for generative artificial intelligence (AI) used by commonwealth agencies. The occasion also marked a new collaborative agreement between the Shapiro administration and CMU dedicated to promoting the responsible use of AI tools.
“When the people we serve in state government use these new technologies in their daily lives, well, they expect government to adapt and improve so we can better serve them. They expect that government will understand new technology. They expect that government will also set realistic and responsible guard rails so they can use that technology more effectively in their lives,” said Shapiro. “As a government leader, I’ve learned over the years that we need to lean in on innovation and learn to adapt to the changing tech environment in a responsible way … We don’t want to let AI happen to us, we want to be part of helping develop AI here in the commonwealth for the betterment of our citizenry.”
Learn More:
https://www.cmu.edu/news/stories/archives/2023/september/gov-shapiro-visits-cmu-birthplace-of-ai-to-sign-executive-order-on-generative-ai
没有什么是容易预测的,尤其是生物体的发育。然而,多亏了卡耐基梅隆大学的研究人员,预测神经元细胞的生长变得更加容易了。
Jessica Zhang 是机械工程系的教授,她与计算生物建模实验室的学生们创建了一个计算模型,可以预测啮齿动物神经元细胞在体外生长的不同阶段,准确率为 97.7%。他们希望利用这个模型来弄清楚为什么神经元会如此生长。
了解更多:
https://www.cmu.edu/news/stories/archives/2023/september/branching-out-modeling-neurons-in-new-ways
Nothing is easy to predict, especially not the development of organisms. However, predicting neuron cell growth just got a little bit easier, thanks to CMU researchers.
Jessica Zhang, a professor of mechanical engineering, and students in the Computational Bio-Modeling Lab created a computational model that could predict, with 97.7% accuracy, the different stages of how rodent neuron cells would grow in vitro. They hope to use this model to figure out why neurons grow the way they do.
Learn More:
https://www.cmu.edu/news/stories/archives/2023/september/branching-out-modeling-neurons-in-new-ways
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