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- A mysterious force knocks the moon from its orbit and sends it hurtling on a collision course toward earth.
- A young fugitive prince and princess must stop a villain who unknowingly threatens to destroy the world with a special dagger that enables the magic sand inside to reverse time.
- A newlywed couple, move into a new house across the country, only to find out that their marital issues are the least of their problems. Unbeknownst to them, their grim and lascivious landlord has been spying on them from day one.
- A variation on Victor Hugo's classic novel by means of the story of a man whose life is affected by and somewhat duplicated by the Hugo story of the beleaguered Jean Valjean.
- Perfect Planet analyzes, in five episodes, how the forces of nature, including the power of the Sun or even humans, drive and shape life on Earth.
- Workers at the Fukushima Daiichi facility in Japan risk their lives and stay at the nuclear power plant to prevent total destruction after the region is devastated by an earthquake and tsunami in 2011.
- Philosophical conversations between a poet, politician, and scientist.
- A feature length documentary work which presents a case for a needed transition out of the current socioeconomic monetary paradigm which governs the entire world society.
- Shen Yuan, an avid reader, finds himself in the novel he hates the most, "Proud Immortal Demon Way", in the body of the antagonist, Shen Qingqiu. To survive, he must befriend the protagonist, Luo Binghe, to change his destiny.
- After being swindled by her ex-husband, a woman takes on the Chinese legal system.
- A series of films about how humans have been colonized by the machines we have built. Although we don't realize it, the way we see everything in the world today is through the eyes of the computers.
- David Attenborough and scientist Johan Rockström examine Earth's biodiversity collapse and how this crisis can still be averted.
- An on-rails light-gun shooter based on Terminator 2: Judgment Day (1991).
- A man prepares and goes to work in a bizarre world, where the meaning of human workforce is taken to another level.
- Tom Brown (John Howard Davies) starts at Rugby boarding school. He is tormented by Flashman (John Forrest), the school bully.
- After dedicating years of service at a matchmaking company, Arini tries to piece together her mysterious past - and memories of a former client.
- Scientist Dr. Kisaragi creates Cutie Honey, an android that possesses human emotions, in order to stop an evil organization.
- In early-90s Kathmandu, an inspired Catalan teacher arrives in town to work at the local school; however, she will soon encounter the region's extreme poverty and its weak educational system.
- After some unsuccessful attempts to save a bankrupt airline, the owner needs to gather some suicidal individuals to go according to her new plan. But due to an incident, everything turns out completely different.
- In the wake of Argentina's economics collapse of 2001, factory workers break into abandoned factories and restart production. Could these pioneers of cooperative ownership be a model for rebuilding Argentina's economy?
- This film both follows the hacking adventures of famous hacker Adrian Lamo, and uses them as a microcosm for the macrocosm of struggles faced by emerging trends of thought - from the criminal to the philosophical.
- Demo and overview of IMDB Film and TV ratings prediction system using data mining and machine learning techniques. This is a tool that film, tv, and video game production companies can use to determine the ratings of a proposed future film, TV show, or video game before they green-light a proposed project and lock a cast and crew. Our regression method, which produces a predicted score, yielded the highest accuracy in our results with a 95.5% accuracy rate on the top titles we tested it with from a test period of data in late 2018. We loaded IMDB's entire film and TV history since the invention of film (earliest entry was 1894) into a PHP web application and MySQL database. Included in this data is all user ratings of said film and tv shows on a (1-10) scale. We used Classification to label potential new projects: Excellent (7.5 rating and above), Average (5 - 7.4), Poor (2.5 - 4.9), and Terrible (less than 2.5). We used Clustering to analyze the data and identify trends in the data historically and Anomaly Detection to identify Outliers in the data. Further testing on future titles should done to get a true accuracy rate on each function. Our test data consisted of all data provided from IMDB up to late August 2018. We loaded that data up then to create a point where we could test our predictions against the actual ratings titles received which were released between this time and our final report in December 2018.