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Technicolor Research

AI Lab



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.



We are at the intersection of Entertainment and A.I.

Research Areas

Visual Effects Analytics

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.

VFX Analytics
Deep Text

Deep Text Analysis

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.

Conversational Chat Bots

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.

Chatbots

Recent Publications

  • Structured Sparse Regression via Greedy Hard Thresholding  
    Prateek Jain, Nikhil Rao, and Inderjit Dhillon
    Proceedings of NIPS 2016
    Barcelona, Spain. December 2016
  • 2D Input for Virtual Reality Enclosures with Magnetic Field Sensing  
    Kent Lyons
    Proceedings of ISWC 2016
    Heidelberg, Germany. September 2016
  • Exploring the Design Space of Touch-based Vibrotactile Interactions for Smartwatches  
    Hasti Sefi and Kent Lyons
    Proceedings of ISWC 2016
    Heidelberg, Germany. September 2016
  • The Structure of Polarized Channels via Explicit Parameters.
    Naveen Goela
    IEEE Allerton Conference on Communication, Control, and Computing
    Urbana, IL. September 2016
  • Goal Directed Inductive Matrix Completion 
    Si Si, Kai Yang Chiang, Cho Jui Hsieh, Nikhil Rao, and Inderjit Dhillon
    Proceedings of ACM SIGKDD 2016
    San Francisco, CA. August 2016
  • Just One More: Modeling Binge Watching Behavior 
    William Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson
    Proceedings of ACM SIGKDD 2016
    San Francisco, CA. August 2016
  • Detecting Divisions of the Autonomic Nervous System Using Wearables.
    Annamalai Natarajan, Kevin Xu, and Brian Eriksson.
    IEEE Engineering in Medicine and Biology Conference 2016
    Orlando, FL. July 2016
  • Encoding Movies and Data in DNA Storage.
    Naveen Goela and Jean Bolot
    IEEE Information Theory and Applications Workshop (ITA)
    San Diego, CA. February 2016

The complete list of publications is available here

The Team

Sandilya Bhamidipati

Sandilya Bhamidipati

Software Architect

Back-end, Cloud

Jean Bolot

Jean Bolot

Lab Director

Jaideep Chandrashekar

Jaideep Chandrashekar

Principal Scientist

Network Analytics, Internet-of-Things

Weicong Ding

Weicong Ding

Researcher

Machine Leaning, Data Mining

Brian Eriksson

Brian Eriksson

Area Lead

Statistical Machine Learning, Wearables

Naveen Goela

Naveen Goela

Researcher

Statistics, Coding Theory

Shahab Hamidi-Rad

Shahab Hamidi-Rad

Software Architect

Back-end, Analytics

Kent Lyons

Kent Lyons

Principal Scientist

Wearables, Ubiquitous Computing

Yifan Sun

Yifan Sun

Researcher

Optimization

Ajit pushjith Pudhiyaveetil

Ajith Pudhiyaveetil

Senior Engineer

Back-end, Mobile

Akshay Pushparaja

Akshay Pushparaja

Research Engineer

Mobile, Full stack

Nikhil Rao

Nikhil Rao

Researcher

Statistical Machine Learning

Kate Oliver

Kate Oliver

Executive Assistant

Contact

Technicolor Los Altos Research Center
175 S San Antonio Rd, Suite 200
Los Altos, CA, 94022
USA

Send your CV to: Technicolor Bay Area Jobs
Contact: Kate Oliver | +1 (650) 249-5155

Technicolor Seminar SeriesCalendar
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