Entertainment has changed more in the last 10 years, than in the previous 100 years. The rise of cloud, mobile, and streaming technologies create data challenges at a gigantic scale for both content creation and content consumption.
The Technicolor AI Lab creates new solutions and academic research in the areas of deep learning, optimization, ubiquitous computing, and statistical machine learning. These solutions help enhance the user experience with entertainment content, mine the large collections of user content consumption data, and optimize the creation of new entertainment via workflow insights.
The creation of modern blockbuster films is a gigantic undertaking consisting of hundreds of individuals working on visual effects alone. Technicolor is the largest producer of visual effects in the world. Using advances in structured and deep learning, the AI lab finds insights and optimizes this workforce allocation, resulting in lower costs and increased output.
Television and movies create petabytes of text data between user generated text (such as, online reviews and comment sections), machine logs inside set-top and video streaming boxes, and production notes. We use new AI techniques to summarize and reduce the dimensionality of this data for next-generation predictive analytics.
Recent advances in AI have resulted in an explosion of conversational chat bots. Challenges still exist on how to best leverage these new interfaces and learn from users. We are developing AI-powered conversational apps to simplify troubleshooting and improve customer experiences for better content consumption.
The complete list of publications is available here
Technicolor Los Altos Research Center
175 S San Antonio Rd, Suite 200
Los Altos, CA, 94022
Technicolor Seminar Series – Calendar
Seminars are held weekly, on Wednesday at 11 AM Pacific Time. Seminars are free, open to the public, and advertised locally. For more information, or to give a talk, please contact Nikhil Rao