暴风雨后，一群海难幸存者流落到了阿西纳拉岛，他们身份各异：四名卡莫拉黑手党囚犯，两名看守前者的狱警，四名流浪剧团成员。其中三位黑手党逼迫剧团团长奥雷斯特·卡姆培瑟将他们冒充成剧团成员，以躲避监狱长的追捕。监狱长德·卡洛生性多疑，立马察觉到卡姆培瑟剧团可能包庇了海难中幸存的黑手党逃犯。

暴风雨后，一群海难幸存者流落到了阿西纳拉岛，他们身份各异：四名卡莫拉黑手党囚犯，两名看守前者的狱警，四名流浪剧团成员。其中三位黑手党逼迫剧团团长奥雷斯特·卡姆培瑟将他们冒充成剧团成员，以躲避监狱长的追捕。监狱长德·卡洛生性多疑，立马察觉到卡姆培瑟剧团可能包庇了海难中幸存的黑手党逃犯。

从伊拉克战中退伍还乡的海军战士特里·穆罗（Terry Malloy）带着妻子和曾经参加过越战的父亲回到了蒙大拿州的乡村小屋，希望开始一段平静的生活。 　　不料，一系列离奇的杀戮在小村庄里展开。先是有人不断的失踪，后来那些被害的尸体又一具一具出现。 　　本片反映了战争留给人们的心理阴影和创伤，导演兼编剧试图用电影告诉观众战争对人的影响远超过战争本身。

从伊拉克战中退伍还乡的海军战士特里·穆罗（Terry Malloy）带着妻子和曾经参加过越战的父亲回到了蒙大拿州的乡村小屋，希望开始一段平静的生活。 　　不料，一系列离奇的杀戮在小村庄里展开。先是有人不断的失踪，后来那些被害的尸体又一具一具出现。 　　本片反映了战争留给人们的心理阴影和创伤，导演兼编剧试图用电影告诉观众战争对人的影响远超过战争本身。

灵嫣　　性与爱情，有人在寻觅，有人只是生理需要，有人排斥，有人却付出了代价，但是我们却都躲不开它。故事在伦敦哈博斯特德•西斯（Hampstead Heath）公园的一个下午展开，通过镜头的转换，讲述了七组人物的生活故事。影片通过非常自然地展示生活而让我们不停地反思：是什么让我们的生活成了这样？在本片里著名影星伊万·麦克格雷格（Ewan McGregor）扮演了其中一位极力想说服另一半收养小孩的同性恋者。

灵嫣　　性与爱情，有人在寻觅，有人只是生理需要，有人排斥，有人却付出了代价，但是我们却都躲不开它。故事在伦敦哈博斯特德•西斯（Hampstead Heath）公园的一个下午展开，通过镜头的转换，讲述了七组人物的生活故事。影片通过非常自然地展示生活而让我们不停地反思：是什么让我们的生活成了这样？在本片里著名影星伊万·麦克格雷格（Ewan McGregor）扮演了其中一位极力想说服另一半收养小孩的同性恋者。

「高等人和低等人的分别，就在于前者无惧于和随时准备挑战不幸。」尼采如是说。拉夫狄亚兹镜前的罪恶克星干探虽非此中信徒，却百分百锲而不舍，坚持向前菲律宾总统杜特尔特的血腥手腕和谎言政治说不。前作《涌浪之后》突破扫毒梦魇，勇探今回要重启一宗沉埋十五年的悬案，追查有「菲律宾飞鹰」之称的艺术家运动分子死因。荒地迷湖，人性难辨；实时进行的长篇叙事，令观众如亲历案情披示，渐悟即或没有破不掉的罪案，仍有绵绵不绝的遗憾和痛苦。

「高等人和低等人的分别，就在于前者无惧于和随时准备挑战不幸。」尼采如是说。拉夫狄亚兹镜前的罪恶克星干探虽非此中信徒，却百分百锲而不舍，坚持向前菲律宾总统杜特尔特的血腥手腕和谎言政治说不。前作《涌浪之后》突破扫毒梦魇，勇探今回要重启一宗沉埋十五年的悬案，追查有「菲律宾飞鹰」之称的艺术家运动分子死因。荒地迷湖，人性难辨；实时进行的长篇叙事，令观众如亲历案情披示，渐悟即或没有破不掉的罪案，仍有绵绵不绝的遗憾和痛苦。

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.

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.