人工智能
The unknown is imminently knowable.
What we know about the impact of 人工智能 on science and society today, 明天就会被改变. 在amjs澳金沙门, we thrive in the never-been-done-before, and so we dive in – charting a path into the unknown world of AI. From informing climate action and protecting our environment to developing lifesaving medical solutions and better healthcare models, amjs澳金沙门 is advancing how the world uses AI, creating tools that will improve our lives and create an equitable future for all.
创造人工智能的未来
There’s a New Bot on Campus: Say Hello to TritonGPT
Specialized AI-powered information and resource assistant TritonGPT marks a continuation of decades of leadership at the forefront of AI research and innovation and is a byproduct of the culture of collaboration and risk-taking that infuses amjs澳金沙门's institutional DNA, 总理普拉迪普·科斯拉说. 阅读故事»
人工智能专家
Rose Yu is a computer scientist who specializes in machine learning, 深度学习, 生成的人工智能, and learning dynamical systems in climate, health care and physical sciences.
Rose Yu | Professor, Computing in the Arts
Terry Sejnowski is widely considered one of the founding fathers of AI. He studies neural networks and how our understanding of neurobiology has paved the way for brain-inspired AI advancements.
Terry Sejnowski | Distinguished Professor, Department of Neurobiology
Yusu Wang is a data scientist who specializes in 深度学习, 图学习, machine learning and learning enabled 优化, 应用于芯片设计, material science and neuroscience.
Yusu Wang | Professor, Halιcιoğlu Data Science Institute
Karandeep Singh is the inaugural Chief Health 人工智能 Officer at amjs澳金沙门健康中心 and an expert on ethically using AI to improve healthcare delivery and the patient experience.
Karandeep Singh | Joan and Irwin Jacobs Endowed Chair in Digital Health 创新
用人工智能建设一个更美好的世界
Creating AI That Helps, Not Harms
Illuminating a roadmap to ethical development, 大卫·丹克斯教授, a member of the National AI Advisory Committee, 揭穿了amjs澳金沙门人工智能的常见神话. 阅读故事»
最新的人工智能突破和新闻
Ai核心设施
amjs澳金沙门’s world-class research facilities help make discovery possible.
人工智能相关中心和研究所
The Institute for Learning-enabled Optimization at Scale
The Institute for Learning-enabled Optimization at Scale (TILOS) is part of a $220M NSF National AI Research Institutes investment to create multidisciplinary, multi-institution research institutes to serve as national hubs for universities, 联邦机构, industry and nonprofit organizations to advance AI research and workforce development.
Institute for Emerging CORE Methods in Data Science (EnCORE)
的同意, crossdisplinary EnCORE aims to transform four core aspects of data science: complexity of data, 优化, 负责计算, 教育和参与.
SDSC先进技术实验室
The increasing use of AI methods presents new technology challenges, and the Advanced Technology Lab (ATL) evaluates new hardware and software technologies for future computing and storage systems that are critical to conducting scientific research at scale.
Processing with Intelligent Storage and Memory
Processing with Intelligent Storage and Memory (PRISM) focuses on novel memory and storage devices and circuits; next generation architectures; systems and software; and grand challenge applications that will demonstrate new capabilities of computing.