Projects

  • Immersive Recommendation Systems: creating new architectures and algorithmic techniques to improve recommender systems

    projects

  • Content Attention and Engagement: harnessing machine learning to more deeply understand how users engage with news and media content

    projects

  • Computer Vision and Human Preferences: combining deep learning and crowdsourcing to capture human notions of similarity between entities

    projects

  • Image Analysis: developing new techniques for multi-modal image analysis

    projects

  • Augmented Reality and Vision Enhancement: developing novel methods to enable people with different abilities to perform daily tasks more effectively with augmented reality

    projects

  • Locally Connected Experiences: studying new products and systems that can enable the next generation of peer and sharing economy applications

    projects

  • Augmented 3D Prints: developing tools to enable users to interact with 3D prints using gestures and speech input

    projects

Contact


  • Cornell Tech 2 West Loop Road NY NY 10044

  • cx.aol.lab@gmail.com