Kiarostami presents two cases for talking heads to evaluate in terms of morality, rights and responsibilities. Case One: Your son is in class, sitting in the back row. His teacher is writing on the board. A restless student in the back row makes a lot of noise. Not knowing who the culprit is, the teacher makes all the children sitting in the last two rows stay outside of the class until the weekend, unless they tell him who made the noise. After a few days spent outside of the classroom, your son relents and tattles on the boy who made the noise, so he can go back in and continue learning. Was he in the right? Case Two: The other students from the back row wait out the rest of the week outside of the class, before returning. Were they in the right?

A disturbing and gruesome shockumentary film on the real life horrors committed by psychotic killers.

A disturbing and gruesome shockumentary film on the real life horrors committed by psychotic killers.

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.

《机械姬 Ex Machina》及《湮灭 Annihilation》的导演Alex Garland宣布为Hulu制作剧集《开发者 Devs》并获得预订，这部8集限定剧将由Alex Garland编写剧…

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.

一个资产阶级作家没有随家人撤离，而是满怀喜悦要目睹革命后的古巴现状。他流连于哈瓦那的街头，沉思并观望着这个国家的变化，然而他也不自觉地因为自己的好色风流而陷入道德危机之中。