本节目多角度对中国式现代化的发展进程进行记录，从工业生产、农业、文化等多方面切入，分别探访未来感十足的阿维塔品牌生产工厂、做传统方式做不到的景德镇陶瓷3D打印工厂、天津大学脑机接口研发中心、浙江大学AI修复文物团队、以科技助力奥运赛场的泰山体育、以农业黑科技助力当地农业发展的麦麦科技公司，通过以小见大的手法表现出各行各业蒸蒸日上的发展状态，通过无数个精彩瞬间体现各行业“点点星火，汇聚成炬”的奋斗精神，展现出中国式现代化的生动实践的画卷，揭示先进生产力的本质是以“新”促新，以“智”提质，特点是创新，关键在质优，它是国民经济发展的新鲜动力。

重拾1979年中断的拍摄，2010 TIDF焦点导演塔西米克的返乡包裹中藏有他35年来追寻的菲律宾历史，这是官方文献，也是众人熟悉的KTV民谣。从航海家麦哲伦的环游世界，到仆人安立奎版的奇想与家庭录像，他将家乡回忆发酵成当下经历，自由混杂各种电影语言，用时间实现这趟不断更新的记忆与认同之旅。

重拾1979年中断的拍摄，2010 TIDF焦点导演塔西米克的返乡包裹中藏有他35年来追寻的菲律宾历史，这是官方文献，也是众人熟悉的KTV民谣。从航海家麦哲伦的环游世界，到仆人安立奎版的奇想与家庭录像，他将家乡回忆发酵成当下经历，自由混杂各种电影语言，用时间实现这趟不断更新的记忆与认同之旅。

Actor and former White House Associate Director of Public Engagement, Kal Penn, takes viewers around the world to meet key players behind some of the more serious and bizarre movements in today's economy.

Actor and former White House Associate Director of Public Engagement, Kal Penn, takes viewers around the world to meet key players behind some of the more serious and bizarre movements in today's economy.

索菲亚死后，卡洛斯收到了一个装有索菲亚灵魂液体的瓶子的包裹。在每一次将液体注射进自己的身体后，他总能在片刻的时间内享受与索菲亚相爱的那些时光。夜以继日，面对日渐耗尽的液体和即将崩溃的身体，卡洛斯并须做出选择。

索菲亚死后，卡洛斯收到了一个装有索菲亚灵魂液体的瓶子的包裹。在每一次将液体注射进自己的身体后，他总能在片刻的时间内享受与索菲亚相爱的那些时光。夜以继日，面对日渐耗尽的液体和即将崩溃的身体，卡洛斯并须做出选择。

《动力澎湃》是中央广播电视总台倾力打造的纪录片项目，得到工信部、国资委等国家部委和中央企业大力支持，十多位院士专家参与节目策划与方案设计。纪录片讲述超级工程背后超级装备、超级制造、超级动力的故事，呈现人与机器的智慧碰撞，探讨“创新”作为引领发展的第一动力，如何为中国制造提供高质量科技供给，支撑现代化经济体系建设。 　　纪录片用“大国重器”讲述新时代高质量发展的中国故事——第一集《燃烧的力量》、第二集《绿色的脉动》、第三集《电驱加速度》、第四集《重装夺巧工》、第五集《聚力天地间》、第六集《数字新引擎》。该片共分六集，每集50分钟，将于2021年5月17日至22日每晚21：30在央视财经频道播出。

《动力澎湃》是中央广播电视总台倾力打造的纪录片项目，得到工信部、国资委等国家部委和中央企业大力支持，十多位院士专家参与节目策划与方案设计。纪录片讲述超级工程背后超级装备、超级制造、超级动力的故事，呈现人与机器的智慧碰撞，探讨“创新”作为引领发展的第一动力，如何为中国制造提供高质量科技供给，支撑现代化经济体系建设。 　　纪录片用“大国重器”讲述新时代高质量发展的中国故事——第一集《燃烧的力量》、第二集《绿色的脉动》、第三集《电驱加速度》、第四集《重装夺巧工》、第五集《聚力天地间》、第六集《数字新引擎》。该片共分六集，每集50分钟，将于2021年5月17日至22日每晚21：30在央视财经频道播出。

A witty, exhilarating and mind-expanding exploration of the word of our times - data - with mathematician Dr Hannah Fry. Following in the footsteps of BBC Four's previous gleefully nerdy, award-winning maths films The Joy of Stats, Tails you Win - The Science of Chance and The Joy of Logic, this new high-tech romp reveals exactly what data is and how it is captured, stored, shared and made sense of. Fry also tells the story of the engineers of the data age, people most of us have never heard of despite the fact they brought about a technological and philosophical revolution. 　　For Hannah Fry, the joy of data is all about spotting patterns. She's Lecturer in the Mathematics of Cities at UCL as well as being the presenter of the BBC series Trainspotting Live and City in the Sky, and she sees data as the essential bridge between two universes - the tangible, noisy, messy world that we see and experience, and the clean, ordered, elegant world of maths, where everything can be captured beautifully with equations. 　　Along the way the film reveals the connection between Scrabble scores and online movie streaming, explains why a herd of Wiltshire dairy cows are wearing pedometers, and uncovers the remarkable network map of Wikipedia. What's the mystery link between 'marmalade' and 'One Direction'? 　　The Joy of Data also hails the giant contribution of Claude Shannon, the American mathematician and electrical engineer who, in an attempt to solve the problem of noisy telephone lines, devised a way to digitise all information. It was Shannon, father of the 'bit', who singlehandedly launched the 'information age'. Meanwhile, the green lawns of Britain's National Physical Laboratory host a race between its young apprentices in order to demonstrate how and why data moves quickly and successfully around modern data networks. It's all thanks to the brilliant technique first invented there in the 1960s by Welshman Donald Davies - packet switching - without which there would be no internet as we know it. 　　But what of the future, big data and artificial intelligence? Should we be worried by the pace of change, and what our own data could and should be used for? Ultimately, Fry concludes, data has empowered all of us. We must have machines at our side if we're to find patterns in the modern-day data deluge. But, Fry believes, regardless of AI and machine learning, it will always take us to find the meaning in them.