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TPU Coder Cup, sponsored by SOPHGO, is an deep learning programming competition for diverse participants including university students, open-source developers, and SOPHGO ecosystem partners. It features a series of contests at varying algorithmic and software levels, all open-sourced. As a premier deep learning platform, the TPU Coder Cup cultivates deep learning talent, harnesses TPU hardware power, and innovates solutions for societal and business challenges. This platform aims to spark open-source innovation, promote open-source practices, and contribute to the open-source ecosystem's growth.
The CCF Big Data&Computing Intelligence Competition (CCF BDCI) was founded by the Chinese Computer Society in 2013 and is a large-scale challenge competition for algorithms, applications, and systems in the field of big data and artificial intelligence. The competition is aimed at collecting demand from key industries and application fields, guided by cutting-edge technology and industry application issues, with the goal of promoting industry development and upgrading. Through a crowdsourcing and crowdsourcing approach, it gathers the wisdom of various industries, universities, and research at home and abroad, and has discovered and cultivated a large number of high-quality data talents for society.
The competition has been successfully held for ten times, attracting over 180000 participants from 25 countries, over 1500 universities, over 1800 enterprises and institutions, and over 80 research institutions worldwide. It has become one of the most influential, large-scale, and mature comprehensive competitions in the field of big data and artificial intelligence in China.
In 2023, we will welcome the 11th CCF BDCI, which has been striving for innovation for over a decade, continuously exploring new advantages in data value, and building a positive data ecosystem atmosphere. CCF BDCI will further expand its influence, focus on the development of digital economy technology and talent cultivation, and help promote the development of big data technology and industrial ecology in China.
This competition question is one of the competition questions. To view all the questions, you can click to enter the 2023 CCF Big Data and Computing Intelligence Competition (CCF BDCI) official website.
XuanTie RISC-V Contest on Innovation of Applications, organized by the T-Head Open Chip Community, has been held for the third time in a row. Over the past two years, nearly 3,000 developers joined the competition and developed over 500 innovative solutions covering Industrial Intelligence, Robotics, Visual Devices, Wearables, In-vehicle devices, Carbon neutrality, Smart Community, Smart home, etc.
The China International 'Internet+' College Student Innovation and Entrepreneurship Competition, jointly organized by the Ministry of Education, universities, and enterprises, aims to deepen comprehensive reforms in higher education. It seeks to ignite students' creativity and nurture the backbone of 'mass entrepreneurship and innovation.' SOPHGO, as a collaborative partner, has provided six competition themes based on TPU processors and RISC-V processors, along with corresponding computational hardware support, attracting numerous student teams from various universities to register and participate.
全国大学生计算机系统能力大赛（以下简称“大赛”）是由系统能力培养研究专家组发起、由全国高校计算机教育研究会主办、面向高校大学生的全国性大赛。
大赛目标是以学科竞赛推动专业建设和计算机领域创新人才培养体系改革，培育我国高端处理器、关键基础软件的后备人才。大赛鼓励学生设计、实现综合性的计算机系统，培养系统级的设计、分析、优化与应用能力，提升学生的技术创新、工程实践、团队协作能力。大赛服务国家人才培养战略，以赛促学、以赛促教，为高水平计算机人才成长搭建交流、展示、合作的开放平台。
中国研究生电子设计竞赛是由教育部学位管理与研究生教育司指导，中国科协青少年科技中心、中国电子学会联合主办的“中国研究生创新实践系列大赛” 主题赛事之一，是面向全国在读研究生的一项团体性电子设计创新创意实践活动， 是全国高校及科研院所积极参与的主流赛事。“研电赛”以行业需求为导向，已经成为电子类相关学科研究生培养创新创业意识、增强团队精神、提升实践能力、促进青年创新创业人才全面成长的有效平台。
竞赛以含金量高，参与程度深，综合素质要求高、与产业紧密结合为特色。竞赛由技术类竞赛和商业计划书专项赛两大部分组成，分自主命题和企业命题两种形式。算能通过企业命题的形式加入，并为题目设置了专项奖励，算能赛题是基于TPU处理器的边缘计算系统设计，算能还为参赛选手提供了超强算力的开发板、无人机、深度学习小车等硬件资源。
社会计算创新大赛由中国深度学习学会和浙江省大数据发展管理局联合主办，CAAI社会计算与社会智能专委、浙江大学公共管理学院共同承办，旨在通过大赛推进数字政府建设，发挥数据的基础资源作用和创新引擎作用，支撑全省数字化改革。“大脑”建设是推动数字化改革不断走向纵深的“突破口”，大赛将聚焦“大脑”算法、模型等能力建设以及多跨场景应用方案设计，坚持数据赋能，强化实战实效，实现对浙江省数字化改革的有力保障，同时也期待大赛相关成果能够推进国家治理体系和治理能力现代化，为数字中国建设提供有力支撑。
本届大赛唯一官方报名平台为Mo平台（https://momodel.cn/competition），该页面仅作为展示介绍用，对本次比赛感兴趣的选手请移步Mo平台报名。
第七届全国大学生集成电路创新创业大赛是由教育部、中国电子学会主办的全国性比赛。该比赛旨在推动高校集成电路教育改革和创新创业教育，培养高素质的电子信息人才，推动中国集成电路产业的发展。
近几年，边缘计算的重要性日益凸显，作为产业的重要基础设施，边缘计算在边缘侧可以提供低时延、高性价比的智能化服务，在众多垂直行业得到了广泛的应用。
边缘计算使计算和数据存储更靠近收集数据的设备，能实现数据高频交互、实时传输，很好地解决了边缘应用的性能问题。
算能以自研专用处理器TPU（Tensor Processing Unit, 张量处理器）为核心打造了覆盖“云、边、端”全场景的算力产品矩阵，为城市大脑、智算中心、智慧安防、智慧交通、安全生产、工业质检、智能终端等应用提供算力产品及整体解决方案。TPU与同期的处理器和graphic相比，可以提供15-30倍的性能提升，在边缘场景中优势明显。
算能杯主要考察参赛选手利用算能TPU平台实现创新应用的能力，重点场景为：机器视觉以及机器视觉在机器人、无人机等场景中的检测和识别等。
要求选手基于TPU实现新应用和新算法，可以围绕下列领域（包含但不限于）展开：安全生产、通用园区、智慧食品安全、智慧城管、智慧电力、公共安全、智慧交通、智慧煤矿、机器人、无人机、机器视觉等，参赛选手需要自行搭建整套边缘计算系统，并实现相应功能。
关于本次比赛更详细的介绍请移步官网 http://univ.ciciec.com/nd.jsp?id=571#_jcp=1
算能杯钉钉群：12640028543
CCF大数据与计算智能大赛（简称CCF BDCI）由中国计算机学会于2013年创办，是大数据与深度学习领域的算法、应用和系统大型挑战赛事。算能作为大赛合作方提供了赛题「基于TPU平台实现人群密度估计」及TPU算力硬件支持，吸引了众多企业、高校和科研院所的开发人员参加。
由中国深度学习学会和浙江省大数据发展管理局联合主办的《社会计算创新大赛》，算能作为赞助方与硬件提供商，致力于培养深度学习领域的人才、鼓励高校学生用科技解决实际难题、进一步推动深度学习应用场景落地。