The Comcast Applied AI Team invents the technological foundations for the Xfinity experiences of the future. Besides long-term research efforts in NLP, computer vision, audio/voice, and media analytics, we support Comcast through innovations and technical expertise in machine learning and artificial intelligence (with a focus on deep and reinforcement learning).

OUR FOCUS AREAS

OUR TEAMS AND LOCATIONS

Each of our researchers and engineers are experts in emerging technologies such as machine learning algorithms, forecasting models, intelligent image and video search, automated scene analysis, voice biometrics, recommender systems, personalization, and deep metadata. Combined they hold over 100 US patents across their areas of specialty, and have contributed to and presented more than 50 research projects.
Washington DC
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Philadelphia, PA
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Sunnyvale, CA
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Denver, CO
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Chicago, IL
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IN THE NEWS

June 6, 2019 Finding Fido With AI-Powered Pet Detection Learn More
June 6, 2019 Finding Fido With AI-Powered Pet Detection Learn More
October 11, 2018 Behind-the-Scenes Look at the Technology Driving Xfinity X1’s Interactive Features Learn More
October 11, 2018 Behind-the-Scenes Look at the Technology Driving Xfinity X1’s Interactive Features Learn More
TBD New AI-Powered Feature Takes the Guesswork out of Home Cameras Learn More
TBD New AI-Powered Feature Takes the Guesswork out of Home Cameras Learn More
August 29, 2017 Comcast Wins Emmy Award For X1 Voice Remote Technology Learn More
August 29, 2017 Comcast Wins Emmy Award For X1 Voice Remote Technology Learn More

CAREER OPPORTUNITIES

Search Openings

PUBLICATIONS

How to utilize ML flow and Kubernetes to Build an Enterprise ML Platform Spark + AI Summit. Nicholas Pickernell, San Francisco, CA April 25, 2019 Learn More
Winning the Audience with AI: Comcast's Journey to Building an Agile Data and AI Platform at Scale Spark + AI Summit Keynote. Jim Forsythe & Jan Neumann, San Francisco, CA April 25, 2019 Learn More
Conversational Content Discovery via Comcast X1 Voice Interface Shahin Sefati, Parsa Saadatpanah, Hassan Sayyadi, Jan Neumann, pp. 498, Vancouver, Canada, 2018 Learn More
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform Jinfeng Rao, Ferhan and Jimmy Lin, International Conference on Knowledge Discovery & Data Mining Learn More
What Do Viewers Say to Their TV's? An analysis of Voice Queries to Entertainment Systems Jinfeng Rao, Ferhan Ture and Jimmy Lin, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) Learn More
All Publications A comprehensive list of all of our team's conferences, speeches and publications. Learn More