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).
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.
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IN THE NEWS
June 6, 2019
Finding Fido With AI-Powered Pet Detection
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June 6, 2019
Finding Fido With AI-Powered Pet Detection
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October 11, 2018
Behind-the-Scenes Look at the Technology Driving Xfinity X1’s Interactive Features
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October 11, 2018
Behind-the-Scenes Look at the Technology Driving Xfinity X1’s Interactive Features
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TBD
New AI-Powered Feature Takes the Guesswork out of Home Cameras
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TBD
New AI-Powered Feature Takes the Guesswork out of Home Cameras
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August 29, 2017
Comcast Wins Emmy Award For X1 Voice Remote Technology
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August 29, 2017
Comcast Wins Emmy Award For X1 Voice Remote Technology
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How to utilize ML flow and Kubernetes to Build an Enterprise ML Platform
Spark + AI Summit. Nicholas Pickernell, San Francisco, CA April 25, 2019
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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
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Conversational Content Discovery via Comcast X1 Voice Interface
Shahin Sefati, Parsa Saadatpanah, Hassan Sayyadi, Jan Neumann, pp. 498, Vancouver, Canada, 2018
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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
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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)
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All Publications
A comprehensive list of all of our team's conferences, speeches and publications.
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