Phase I IUCRC University of Florida: Center for Big Learning

本项目建立了NSF大学习产学研合作研究中心（CBL）。愿景是创造智能，走向智能驱动的社会。通过催化来自教师、学生、行业合作伙伴和联邦机构的各种专业知识的融合，CBL寻求创造最先进的深度学习方法和技术，并实现智能应用，改变广泛的领域，如商业、医疗保健、物联网和网络安全。这一及时的举措创造了一个独特的平台，为我们的下一代人才提供具有社会相关性和意义的尖端技术。该项目在佛罗里达大学建立了美国国家科学基金会工业/大学大学习合作研究中心（CBL）。随着计算机视觉、语音识别和自然语言理解等多种挑战的重大突破，机器智能的复兴正在曙光初现。CBL的愿景是创造智能，走向智能驱动的社会。其使命是通过CBL联盟的统一和协调努力，开拓新的深度学习算法、系统和应用。UF网站将专注于智能平台和应用程序，并与其他网站在深度学习算法，系统和应用程序方面密切合作。CBL将对技术、教育和社会产生广泛的变革性影响。CBL旨在创造开创性的研究和应用，以解决广泛的现实挑战，为深度学习社区做出重大贡献和影响。CBL的发现将为促进工业产品和服务的发展做出重大贡献，特别是CBL的工业合作伙伴。作为深度学习研究和应用的磁石，CBL通过来自学术界和工业界的世界级导师，为培养下一代人才提供了一个理想的平台，传播前沿技术，促进产学研合作和技术转移。中心存储库将托管在http://nsfcbl.org上。数据、代码和文件将在CBL服务器上得到很好的组织和维护，在中心期间超过五年或更长时间。内部代码库将由GitLab管理。在软件包经过良好的文档和测试后，它们将由流行的公共代码托管服务（如GitHub和Bitbucket）发布和管理。

This project establishes the NSF Industry/University Collaborative Research Center for Big Learning (CBL). The vision is to create intelligence towards 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, healthcare, Internet-of-Things, and cybersecurity. This timely initiative creates a unique platform for empowering our next-generation talents with cutting-edge technologies of societal relevance and significance. This project establishes the NSF Industry/University Collaborative Research Center for Big Learning (CBL) at University of Florida (UF). With substantial breakthroughs in multiple modalities of challenges, such as computer vision, speech recognition, and natural language understanding, the renaissance of machine intelligence is dawning. The CBL vision is to create intelligence towards intelligence-driven society. The mission is to pioneer novel deep learning algorithms, systems, and applications through unified and coordinated efforts in the CBL consortium. The UF Site will focus on intelligent platforms and applications and closely collaborate with other sites on deep learning algorithms, systems, and applications.The CBL will have broad transformative impacts in technologies, education, and society. CBL aims 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 discoveries from CBL will make significant contributions to promote products and services of industry 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, disseminates the cutting-edge technologies, and facilitates industry/university collaboration and technology transfer.The center repository will be hosted at http://nsfcbl.org. The data, code, documents will be well organized and maintained on the CBL servers for the duration of the center for more than five years and beyond. 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 code hosting services, such as GitHub and Bitbucket.