Phase I I/UCRC Carnegie Mellon University: Center for Big Learning CBL

该项目建立了产学合作研究中心(CBL)。随着深度学习的实质性突破，机器智能的复兴正在展开。我们的愿景是为智能驱动的社会创造智能。通过促进来自教职员工、学生、行业合作伙伴和联邦机构的不同专业知识的融合，CBL寻求创建最先进的深度学习方法和技术，并实现智能应用，从而改变商业、媒体、医疗保健、物联网和网络安全等广泛领域。这一及时的计划为我们的下一代人才提供了一个独特的平台，使其具有现实世界的相关性和意义。其使命是通过CBL财团的统一和协调努力，融合我们大量中心教职员工、学生、行业合作伙伴和政府机构的广泛专业知识，开创新型深度学习算法、智能系统和新型应用的先河。卡内基-梅隆大学的网站将专注于深度学习算法和平台，并与其他网站合作开发新的应用程序。CBL预计将在技术、教育和社会方面产生广泛的变革影响。CBL致力于创造开创性的研究和应用，以应对广泛的现实世界挑战，为深度学习社区、行业和整个社会做出重大贡献和影响。CBL的发现将为促进产品和工业服务，特别是CBL行业合作伙伴的发展做出重大贡献。作为深度学习研究和应用的磁石，CBL提供了一个理想的平台，通过来自学术界和产业界的世界级导师来培养下一代人才，传播尖端技术，促进产学合作研究。中心知识库将设在http://nsfcbl.org.数据、代码、文件将在CBL服务器上得到很好的组织和维护，持续时间为中心和五年。内部代码库将由GitLab管理。在软件包被很好地记录和测试之后，它们将由流行的公共服务器发布和管理，如GitHub和BitBucket。

This project establishes the Industry/University Cooperative Research Center for Big Learning (CBL). With substantial breakthroughs in deep learning, the renaissance of machine intelligence is unfolding. The vision is to create intelligence towards the intelligence-driven society. Through catalyzing the fusion of diverse expertise from the consortium of faculty members, students, industry partners, and federal agencies, CBL seeks to create state-of-the-art deep learning methodologies and technologies and enable intelligent applications, transforming broad domains, such as business, media, healthcare, Internet-of-Things, and cybersecurity. This timely initiative creates a unique platform for empowering our next-generation talents with real-world relevance and significance.The mission is to pioneer novel deep learning algorithms, intelligent systems, and novel applications through unified and coordinated efforts in the CBL consortium via fusion of broad expertise from our large number of center faculty members, students, industry partners, and government agencies. The Carnegie-Mellon University site will focus on deep learning algorithms and platforms and work with other sites on novel applications.The CBL is expected to have broad transformative impacts in technologies, education, and the society. CBL seeks to create pioneering research and applications to address a broad spectrum of real-world challenges, making significant contributions and impacts to the deep learning community, the industry and the society at large. The discoveries from CBL will make significant contributions to promote products and industrial services in general and CBL industry partners in particular. As the magnet of deep learning research and applications, CBL offers an ideal platform to nurture next-generation talents through world-class mentors from both academia and industry, disseminate the cutting-edge technologies, and facilitate industry/university collaborative research.The center repository will be hosted at http://nsfcbl.org. The data, code, documents will be well organized and maintained on the CBL server for the duration of the center plus five years. The internal code repository will be managed by GitLab. After the software packages are well documented and tested, they will be released and managed by popular public servers, such as GitHub and Bitbucket.