machine learning
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- StarsSidney Madison PrescottSidney Madison PrescottJonny CaplanWe are already developing a new generation of intelligent and super powered beings. With our tiny understanding of our own human abilities, who knows what will become of these bionic, self-learning super creatures. And we passed the point of no return? The rise of AI, artificial intelligence, will take you to see the vast evolution robotics, machine learning and artificial programming. A doc-series designed to educate and inform the masses on how A.I. and machine learning is being integrated into our daily lives, and what the future holds. We also meet with some of the top experts from brands such as Samsung, Spotify, Google and others to hear how artificial intelligence shapes their business and our future.
- StarsRobert Downey Jr.Pedro DomingosRana El KalioubyThe Age of A.I. is a 8 part documentary series hosted by Robert Downey Jr. covering the ways Artifial Intelligence, Machine Learning and Neural Networks will change the world.
- StarsHao LiAyanna HowardBethany EhlmannExplore machine learning, automation, robotics, and space through the lens of luminaries-distinguished professors, leading CEOs, and head scientists.
- DirectorPaul CastroStarsDavid D. PerlmutterDaniel BayerScott ByrnesFOREVER "The End of Aging," is a fascinating documentary featuring the world's top scientists, physicians, and medical futurists such as world renowned neurologist, Dr. David Perlmutter, a 5-time, New York Times #1 Bestseller, as well as Harvard celebrated global Genomics expert, Dr. Sharon Hausman-Cohen, and a plethora of other rare visionaries. This film explores being able to comfortably live to 120+ years old with the utilization of Artificial Intelligence, Machine Learning, Integrative Medicine, Stem Cell breakthroughs, Genomics, and many other discoveries available today.
- DirectorChristopher CannucciariStarsBuki AdenijiChris AndersonPersephone Arcement"Machine Learning: Living in the Age of AI," examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on schoolchildren and farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have. The film was directed by filmmaker Chris Cannucciari, produced by WIRED, and supported by McCann Worldgroup.
- DirectorMary Helena ClarkMike GibisserExplores tradition, colonialism, property, faith, and science, seen through labor practices that connect an endangered salamander, mass-produced apples, and the evolving fields of genomics and machine learning.
- DirectorRoshan NejalThe very first experiment ever done in the process of grief in which bereaved family members are having an artificial video conversation with their deceased loved ones through the use of deepfakes, which leverage machine learning and artificial intelligence to generate visual and audio content with a high potential to deceive.
- DirectorNathan J KressStarsXuxin ChenAaron HolmesNathan J KressDemo 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.
- DirectorTucker BlissA team of engineers from Google's Crisis Response team heads to India's most dangerous flood plain with the hope of using machine learning to develop more accurate and reliable flood forecasting system for countries that need it most. This short documentary follows the people most affected in the region along with members of the Indian Government and Google's Crisis Response team assigned to the project as they work with the latest in cutting edge technology to create an early warning system that works for the needs of the people most affected.
- DirectorBrandon TysonWe're on the verge of a smart home revolution. From light bulbs to toilets, smart devices are becoming the norm. By 2030, there may be 50 smart devices in every home. However, WiFi technology is not keeping up with this increasing demand. One shortcoming is an inability to assign bandwidth that adjusts dynamically to demand inside the home. A company called Plume thinks it has an answer. It has created "adaptive WiFi" that uses machine learning in order to adapt to your behavior. It then distributes bandwidth accordingly to the devices connected to the network.
- DirectorDan BrockettStarsAndy YenBenson HsuBrendan WalkerTake a 2,700 lb, 450 hp import car, combine with a highly skilled driver, connecting turns sideways, at high speed, under perfect control and you've just described drifting. The sport is one of the hottest trends to ever hit the U.S. import car scene. Unlike all other forms of racing, drifting is not about crossing the finish line first; it's a unique sport that is all about form, technique and ultimate car control. Meet the top U.S. drivers who are helping to build the U.S. drifting scene. Through footage of them drifting, their interviews and stories, experience the challenges of re-inventing and adapting a motorsport in the U.S. that has been popular in Japan for over a decade. Using footage from car mounted cameras, ride along with professional D1 Japanese drifters as well as top American drifters as they execute intense, high speed, tire-smoking drift runs. Check out "Weapons of Choice", the two most popular cars in drifting, the Toyota Corolla AE-86 and the Nissan RPS-13/S-14 as top drifters explain the finer points of these two top drifting machines. Learn about the modifications and aftermarket products that are needed to build a competitive drifting car. The drifters also discuss their favorite techniques and the evolution of their own drifting styles. Learn what the future of drifting in the U.S. looks like as promoter Ken Miyoshi, president of Mainstream Productions and Moto Miwa, founder of Drift Association / Club 4AG discuss their plans for expanding drifting to the entire country and their vision of the future of drifting in America.
- DirectorJonathan Moy de VitryStarsDane CorneilTania JenkinsAdria LeboeufJenna had given up on love until she got Dan, an artificial boyfriend based on advanced machine learning techniques. This TV program explores the ups and downs of their relationship. Can a robot be a good boyfriend? Will their love story work? Tune in at 8/7C to find out.
- StarsHannah FryDr Hannah Fry and a virtual host present a new way of making television, as the BBC uses artificial intelligence to delve into the treasures of the BBC Archive.
- StarsKarlie KlossZeynep TüfekçiAlan KayExplained looks at how computer code now controls how we live. It looks at how computer code is pervasive in how it effects our lives. It looks at the development of machine code first in the textile industry and later binary code in early mechanical computers. It also discusses computer logic, algorithms, computer languages, personal computing, and machine learning.
- What is knowledge? When do we really know something and when do we have a questionable belief? Experts explain how we can separate knowledge from belief. Also, what is the way to express in a logical and understandable way what we know. Finally, how, through the study of human capacity for knowledge, science today has been led to the development of artificial intelligence. So how do machines learn?
- StarsShivani BiglerJason DerenickBarbara GroszEveryone has heard about Artificial Intelligence (or "AI"), but very few people know what it is or how it actually works. This episode brings this otherwise abstract topic to life by visiting the most cutting-edge engineering firms where innovative technologists are using Artificial Intelligence to transform machines into thinking robots. Leading institutions are preparing robot rovers and flying drones to navigate through unmapped territories, in order to save lives in bold Search and Rescue missions. By "mapping as they go," these thinking machines generate their own intelligence-allowing them to self-navigate without human input. Additionally, some technologists are coordinating swarms of drones to operate and collaborate together-all with the explicit ambition of improving the efficiency of farming and increasing food production. Though the news media often reports on how machines could cause unemployment, that's not what AI inventors in this program are saying. In fact, their AI-driven robots are using machine-learning to work better with humans. Through observation, AI robots are learning to anticipate the actions of human co-workers, keeping people safer in the workplace-and making it more productive. Some scientists in this show are even developing AI robots that are achieving the beginnings of robotic consciousness. By comprehending their own self-image, they are able to learn about their environment, make decisions, and navigate the space around them-just as human babies do. Some engineers are taking this technology even further to develop real-world Androids-that is, robots that look, feel, and act like people. Becoming consultants, advisors, and even friends, these Androids will ultimately help individuals adjust to realities of "the human condition."
- Commercial buildings are the fourth largest emitter of CO2 worldwide - with 67% of their emissions coming from heating, ventilation, and air conditioning (aka HVAC). 75F is using machine learning and cloud computing to clean that up.
- StarsPaul CarterGareth MitchellHow machine learning is entering everyday life, from driverless cars to tracking graffiti.
- DirectorMitchell HooperStarsWerner VogelsTravel to Copenhagen with Dr. Werner Vogels as he visits Veo, a company working to make sports technology accessible to all; made possible with machine learning, a love of soccer, and a mission to democratize sports for everyone.
- 2018–TV EpisodeDirectorJason GaresStarsMike KavkaWe all have our favorite vendors and have those vendors we love to hate. Many places like trying to homogenize on a specific vendor or technology. What happens if you put all your eggs in one security vendor basket? Is it worth doing that? Does not knowing how a vendor's Machine Learning makes decisions hurt or help us? Let us travel down a real-world scenario as to why using multiple vendors and multiple threat feeds could be advantageous. Wait, is that Defense in Depth? Maybe it is, but not in a way you normally think of.
- DirectorAdrian CrenshawStarsJohn PlataisWe have all heard the phrase, "Hindsight is 20/20." Usually this resonates as we stand across from our employer admitting some level of guilt for a recent disaster. What if we could predict the future with some degree of acceptable accuracy? What if we knew ahead of time which employee candidate would introduce risk to our organization? What if we were able to pinpoint which of the thousands of current, cyber security threats would have the greatest impact on our unique technology footprint and prioritize those in real time for remediation? What if we had the ability harvest and incorporate the limitless data available both privately and publicly into our decision-making processes without investing millions? This session will answer those questions and more as we explore the data mining and machine learning options available to all of us using only the technology resources we have at our disposal. We will be looking at security specific use cases for predictive analytics that will appeal to all security professionals. We will look at insights and opportunities that can be realized from public data repositories and social media sites where even the most private of us reveal more than we know. Every participant will leave with the knowledge and direction to begin incorporating machine learning and "AI" into their regular deliverables. They will learn what tools are available, what value each of those tools can provide, and what data can yield the greatest results in the shortest amount of time.
- StarsXander SteenbruggeAn anonymous research paper suggests the prior knowledge of objects enables humans to learn (a video game) far more efficiently than a machine learning application.
- 2021–TV EpisodeDirectorHunter HolcombeBattery reliability can be a major challenge for automakers and battery companies both domestically and internationally. Liminal Insights is using ultrasound imaging and machine learning analytics to improve battery quality and minimize waste.
- DirectorBenjamin M. PflumThis startup is revolutionizing the energy industry by making the grid smart and empowering individuals to manage energy in their homes with machine learning. Watch the film to see how Sense Labs is building a cleaner, more resilient future.
- DirectorFrederic EgerStarsGreg BellerChristiana CaroSherol ChenFrederic Eger hosts musician, composer, computer scientist for the contemporary arts and IRCAM Department for Research/Creation Interfaces Director, Dr Gregory Beller, to talk about the applications of Artificial Intelligence (AI) and Machine Learning (ML) to the arts.
- StarsMichael StevensIn this episode I visit a researcher who is studying memory by using machine learning and neuroimaging to detect and predict people's brain states. I also travel to Japan to meet with a team working on ways to record the content of peoples' dreams.