世间万物各有大小。仰望浩瀚星空，地球不过是沧海一粟；对于虫蚁，人类又如同巨人，遮天蔽日。宇宙是如何决定一切事物的大小的？万物的大小是否重要？本片带着这些问题，大开脑洞，进行了一系列无法实际操作的思维实验：在木星那么大的地球上生活会是什么样？我们如果变成巨人，或者是蚂蚁一 样大又会有什么变化？还有我们习以为常的太阳，把它放大或缩小一些对我们将产生什么影响？在两期节目中，我们将把这些天马行空的幻想用科学手法进行模拟，用科学的分析解释万物大小的重要之处，极具趣味性。

《生活+ 家装攻略》精彩案例，实景体验，专业解读，帮助观众打造完美空间。

广东卫视倾力打造的家装节目——《新屋齐家装》，以“让新家的故事照亮未来美好生活”为主旨，聚焦百姓生活，展现岭南文化特色的家装改造风格，在记录居住环境改变的同时，讲述12个家庭在装修过程中的暖心故事。

广东卫视倾力打造的家装节目——《新屋齐家装》，以“让新家的故事照亮未来美好生活”为主旨，聚焦百姓生活，展现岭南文化特色的家装改造风格，在记录居住环境改变的同时，讲述12个家庭在装修过程中的暖心故事。

村井理子（柴崎幸 饰）突然接到警方的电话，得知多年未见的哥哥（小田切让 饰）去世。发现尸体的是与哥哥同住的儿子良一，理子下定决心：“得赶紧把哥哥变成可以携带的尺寸。”于是她前往东北，时隔七年在警察局再次见到了哥哥的前妻加奈子（满岛光 饰）以及他们的女儿满里奈（青山姫乃 饰）。 　　三人一同整理哥哥住过、早已变成垃圾屋的公寓，发现了一张贴在墙上的全家福照片，照片中有年幼的理子与哥哥，还有哥哥、加奈子、满里奈与良一的合影。在为哥哥处理后事的过程中，理子不断吐槽哥哥，而曾被哥哥连累的加奈子却对她说：“也许理子你，并不了解他全部的一面。”四个角色重新面对“家庭”的混乱四天就此开始。

村井理子（柴崎幸 饰）突然接到警方的电话，得知多年未见的哥哥（小田切让 饰）去世。发现尸体的是与哥哥同住的儿子良一，理子下定决心：“得赶紧把哥哥变成可以携带的尺寸。”于是她前往东北，时隔七年在警察局再次见到了哥哥的前妻加奈子（满岛光 饰）以及他们的女儿满里奈（青山姫乃 饰）。 　　三人一同整理哥哥住过、早已变成垃圾屋的公寓，发现了一张贴在墙上的全家福照片，照片中有年幼的理子与哥哥，还有哥哥、加奈子、满里奈与良一的合影。在为哥哥处理后事的过程中，理子不断吐槽哥哥，而曾被哥哥连累的加奈子却对她说：“也许理子你，并不了解他全部的一面。”四个角色重新面对“家庭”的混乱四天就此开始。

In the near future, a micro-worker performs tasks that are suggested to her. Between data center maintenance and data processing, she hesitantly searches for ways to feel emotions. Devoid of social links, this world is saturated with data.

未来世界，秘密系统“白金数据”得到开发，日本全国人民的DNA数据被存储其中，进而借此构建了一个检举率100%、冤案率0%的理想社会。可即便如此尖端的系统…

未来世界，秘密系统“白金数据”得到开发，日本全国人民的DNA数据被存储其中，进而借此构建了一个检举率100%、冤案率0%的理想社会。可即便如此尖端的系统，也被代号为“NF13”的连环杀人案所难住，凶手犯案累累，且至今下落不明，甚至连“白金数据”的开发者蓼科兄妹也惨遭杀害。此后不久，特殊解析研究所的天才科学家神乐龙平（二宫和也 饰）对蓼科早树（水原希子 饰）尸体上提取的嫌疑人基因进行解析，竟发现真凶的矛头指向自己。凭借同事白鸟理沙（杏 饰）的帮助，神乐连忙逃脱，而以刑警浅间玲司（丰川悦司 饰）为代表的搜查一课早已在这座城市内部下天罗地网。在此过程中，神乐自身的秘密逐渐付出水面，真相更是出乎所有人意料…… 　　本片根据著名推理小说作家东野圭吾的同名原作改编。

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.